The issue is with the MCP SSE server's built-in host validation. Looking at the error, it seems like the MCP SDK has built-in request validation that's failing.

Let me check the MCP SDK source code to understand how to disable or configure the host validation. The error is coming from mcp/server/sse.py line 132.

I need to check if there's a way to configure the allowed hosts or disable this validation.

The user is asking about the difference between uv and nx for monorepo management. Let me explain the key differences.

uv is a Python package manager and project manager (like pip + poetry + pyenv combined). It can manage Python projects but doesn't have built-in monorepo/workspace management like nx.

nx is a general-purpose monorepo build system that works across languages (JavaScript, Python, Go, etc.). It provides:

Task orchestration (run tasks in parallel, cache results)
Dependency graph visualization
Affected project detection
Code generation

Let me explain the tradeoffs.

Good question! Here's the comparison:

uv vs nx

Feature	uv	nx
Purpose	Python package/project manager	Monorepo build system
Languages	Python only	JS/TS, Python, Go, Java, etc.
Workspace support	Basic (via `uv worktree`)	Full-featured
Task orchestration	❌ No	✅ Parallel, cached, dependency-aware
Build caching

Internal error: Unexpected ExceptionGroup occurred while connecting to MCP server at https://ialzv-199-247-196-34.a.free.pinggy.link/sse using TransportType.SSE transport. Please try again or contact support if the issue persists.

Now restart the server to pick up the changes:

Hold off on implementaion. Help me understand the architecture first. We can skip the real phone number integration and use the widgets that ElevenLabs provides. The first goal is to be able host an MCP server with custom tools that can interact with FHIR/InSync (stub this for now, this will get proven properly later).

https://elevenlabs.io/docs/eleven-agents/overview

The user is getting an error when trying to connect to the MCP server via SSE. Let me help debug this. The error suggests there might be an issue with the SSE endpoint or how the server is running.

Let me check a few things:

Is the server actually running with SSE transport?
Is the URL correct?
Is there an issue with how FastMCP handles SSE transport?

The user is using pinggy.link which is a tunneling service like ngrok. The URL format looks correct.

Let me help them debug this by:

Checking if the server is running correctly locally first
Verifying the SSE endpoint is accessible
Looking at the MCP Python SDK docs for SSE transport specifics

Let me help debug this. First, let's test the SSE endpoint locally:

Now I have a clear picture. Here's the simplified architecture for your use case:

Simplified Architecture

Your Goal: ElevenLabs Agent ↔ MCP Server ↔ FHIR/InSync (stubbed)

┌─────────────────────┐      SSE/HTTP       ┌────────────────────┐│  ElevenLabs Agent   │ ◄──────────────────► │   MCP Server       ││  (via Widget)       │                      │   (insync-mcp)     │└─────────────────────┘                      └─────────┬──────────┘                                                       │                                                       ▼                                             ┌────────────────────┐                                             │  Mock FHIR Data    │                                             │  (shared package)  │                                             └────────────────────┘

┌─────────────────────┐      SSE/HTTP       ┌────────────────────┐│  ElevenLabs Agent   │ ◄──────────────────► │   MCP Server       ││  (via Widget)       │                      │   (insync-mcp)     │└─────────────────────┘                      └─────────┬──────────┘                                                       │                                                       ▼                                             ┌────────────────────┐                                             │  Mock FHIR Data    │                                             │  (shared package)  │                                             └────────────────────┘

Key Concepts

1. ElevenLabs MCP Integration

ElevenLabs supports MCP servers via SSE (Server-Sent Events) transport. You register your MCP server URL with ElevenLabs:

bash

# Create MCP server in ElevenLabsPOST /v1/convai/mcp-servers{  "config": {    "url": "https://your-server.com/mcp",  # Your hosted MCP server    "name": "insync-mcp",    "transport": "SSE"  }}

# Create MCP server in ElevenLabsPOST /v1/convai/mcp-servers{  "config": {    "url": "https://your-server.com/mcp",  # Your hosted MCP server    "name": "insync-mcp",    "transport": "SSE"  }}

Then attach it to your agent via mcp_server_ids in the agent config.

2. Widget vs Phone

The widget is just a UI for the agent:

html

<elevenlabs-convai agent-id="YOUR_AGENT_ID"></elevenlabs-convai><script src="https://unpkg.com/@elevenlabs/convai-widget-embed" async></script>

<elevenlabs-convai agent-id="YOUR_AGENT_ID"></elevenlabs-convai><script src="https://unpkg.com/@elevenlabs/convai-widget-embed" async></script>

No Twilio needed — users interact through the browser widget.

3. MCP Server Requirements

Your MCP server needs to:

Expose an SSE endpoint (ElevenLabs connects to it)
Implement the MCP protocol (@modelcontextprotocol/sdk)
Provide tools like searchPatient, getPatient, searchAppointments, createAppointment

Revised Implementation (Minimal)

Package	Purpose	Needed?
`shared`	Types + mock FHIR data	✅ Yes
`insync-mcp`	MCP server with 4 tools	✅ Yes
`agent-server`	Express for webhooks	❌ Skip (use MCP instead)
Twilio/Phone	Real phone calls	❌ Skip (use widget)

What You'll Build

packages/shared — FHIR types + mock patients/appointments
packages/insync-mcp — MCP server (SSE transport) with 4 tools:
- search_patient
- get_patient
- search_appointments
- create_appointment
Hosting — Deploy MCP server to a public URL (ngrok for dev, cloud for prod)
ElevenLabs Dashboard — Register MCP server, attach to agent, use widget

Questions Before We Build

Do you want to use the existing agent ID (agent_4601kjh11d35f6b8qxymt1kpnyqm) or create a new one?
Hosting preference — ngrok for local dev, or deploy somewhere (Vercel, Railway, Fly.io)?
Any specific FHIR fields you need beyond patient name, DOB, phone, appointments?

ok i guess for now we can continue.

what is the difference between them?

ok continue. this looks fine. use uv if possible for the insync mcp. search web for latest

This is a plan to build an AI receptionist system that connects ElevenLabs conversational AI to a real phone number, with an EHR integration layer.

Overview

Goal: Build a monorepo connecting:

ElevenLabs Agent → handles phone conversations
Twilio → provides the phone number
InSync EHR MCP Server → patient lookup & appointment booking

Architecture Flow

Phone Call (Twilio) → ElevenLabs Agent → Webhooks → agent-server → Mock FHIR Data                                                    ↑Claude/MCP clients → insync-mcp ───────────────────┘

Phone Call (Twilio) → ElevenLabs Agent → Webhooks → agent-server → Mock FHIR Data                                                    ↑Claude/MCP clients → insync-mcp ───────────────────┘

Key Components

Package	Purpose
`shared`	Types, config, mock FHIR patient/appointment data
`insync-mcp`	MCP server with 4 tools (search/get patients, search/create appointments)
`agent-server`	Express server for ElevenLabs webhooks, phone import, outbound calls

The 4 Core Tools

searchPatient - Find patients by name/DOB/phone/MRN
getPatient - Get patient by ID
searchAppointments - Find appointments by patient/date/status
createAppointment - Book new appointments

Implementation Phases

Scaffold - Set up npm workspaces, TypeScript
Shared - FHIR types + mock data (5 patients, 8 appointments)
MCP Server - Build the 4 tools for Claude/local dev
Agent Server - Express API for ElevenLabs webhooks
Wire Up - Connect Twilio, ngrok, configure ElevenLabs dashboard

Want me to start implementing this? I can begin with Phase 1 (scaffolding the monorepo).

Done! The repository is now set up and tracking the remote. Let me show you what was pulled:

{ "mrn": "MRN004567" } { "mrn": "MRN004567" } Tool execution time

1.1 s

{ "content": [ { "type": "text", "text": "{\n "resourceType": "Bundle",\n "type": "searchset",\n "total": 0,\n "entry": []\n}" } ], "structuredContent": { "result": "{\n "resourceType": "Bundle",\n "type": "searchset",\n "total": 0,\n "entry": []\n}" }, "isError": false }

why do i get this? i can see there is the MRN i pasted in the mock data

Fixed! Now searching for MRN004567 returns Robert James Williams.

The issue: I had hardcoded active=False patients to be filtered out. Changed it so:

By default, all patients are returned (active and inactive)
Optional active_only=True parameter to filter if needed

Try the search again from ElevenLabs — it should work now.

I'll set up the folder to track that remote repository and pull it in.

use websearch and tell me about nx vs uv and when to use

I'll help you set up Git tracking for this folder. Let me first check the current state of the directory.

Fixed! The server is now accepting requests from the tunnel:

The fix: Disabled DNS rebinding protection in the MCP server by adding:

python

from mcp.server.transport_security import TransportSecuritySettings
security_settings = TransportSecuritySettings(    enable_dns_rebinding_protection=False,)
mcp = FastMCP(    name="InSync EHR",    transport_security=security_settings,)

from mcp.server.transport_security import TransportSecuritySettings
security_settings = TransportSecuritySettings(    enable_dns_rebinding_protection=False,)
mcp = FastMCP(    name="InSync EHR",    transport_security=security_settings,)

This allows external hosts (like your pinggy tunnel or ElevenLabs) to connect. The SSE connection is now working — try connecting from ElevenLabs again.

https://github.com/surijatin/eleven use

Done! I've created the Modal deployment file. Here's what you need to do:

Deploy to Modal (Free $30/month)

1. Install Modal

2. Login

This opens a browser to authenticate.

3. Serve locally (with hot reload)

This gives you a URL like: https://your-workspace--insync-mcp-web.modal.run/mcp/

4. Test with MCP Inspector

Enter URL: https://your-workspace--insync-mcp-web.modal.run/mcp/
Transport Type: Streamable HTTP
Click Connect → List Tools

5. Deploy to production

Key Changes from Local Version

Aspect	Local (uv)	Modal
Transport	SSE	Streamable HTTP
Package	`mcp.server.fastmcp`	`fastmcp`
State	Stateful	Stateless
URL	`http://localhost:8000/sse`	`https://xxx.modal.run/mcp/`

Connecting to ElevenLabs

Deploy: modal deploy insync_mcp_modal.py
Copy the URL from output
In ElevenLabs Dashboard → Agents → MCP Servers
Add server with URL ending in /mcp/
Select Streamable HTTP transport
Test via widget

Want me to help you test the deployment?

The folder is currently empty and not a Git repository. You have two options:

Option 1: Clone directly into this folder

If you want to replace this folder with the remote repo contents:

Option 2: Initialize and connect to remote (recommended)

This keeps the current folder and pulls into it:

bash

git initgit remote add origin <repo-url>git fetch origingit checkout -b main origin/main  # or whatever the default branch is

git initgit remote add origin <repo-url>git fetch origingit checkout -b main origin/main  # or whatever the default branch is

What's the remote repository URL? For example:

git@github.com:username/ai-receptionist.git (SSH)
https://github.com/username/ai-receptionist.git (HTTPS)

Once you provide the URL, I can run the commands for you.

The user is getting an error when trying to connect to the MCP server via SSE transport. The error mentions an "Unexpected ExceptionGroup" when connecting to the server.

Let me think about what could be wrong:

The URL https://ialzv-199-247-196-34.a.free.pinggy.link/ - this looks like a pinggy tunnel URL (similar to ngrok)
The error is happening with SSE transport

The issue is likely:

The MCP server SSE endpoint - by default FastMCP with SSE transport might expect a specific path
The URL might need /sse appended
Or there might be an issue with how the MCP server is configured for SSE

Let me check the MCP Python SDK documentation for the correct SSE endpoint configuration.

The issue is likely the SSE endpoint path. Let me check the correct configuration:

I see the issue. The search_patients function has:

I should remove this filter or add an option. Let me update the search_patients function to include inactive patients.

The error shows two issues:

Invalid Host header: brybn-199-247-196-34.a.free.pinggy.link - The host header validation is failing because the request is coming through a tunnel (pinggy) with a different host than localhost.
ValueError: Request validation failed - This is from the MCP SSE server's validation.

The MCP server is validating the Host header and rejecting requests that don't match localhost. This is a security feature. We need to configure the MCP server to accept requests from any host (or specifically from the tunnel host).

Looking at the MCP Python SDK, I need to check how to configure this. The FastMCP server likely has options for this.

Let me check the MCP SDK documentation for how to handle this.

I see the issue. The MCP server is rejecting requests due to Host header validation. The request is coming through a pinggy tunnel (brybn-199-247-196-34.a.free.pinggy.link) but the server is configured to only accept localhost.

Let me fix this by updating the MCP server to accept external hosts:

Modal — Great Option for Python MCP Servers!

Modal is perfect for your use case. One of the testimonials even says:

"We rely on it to handle massive spikes in volume for evals, RL environments, and MCP servers."

Free Tier (Starter Plan)

Feature	Free Tier
Monthly credits	$30/month free
Base cost	$0/month
Seats	3 included
Web endpoints	8 deployed endpoints
Containers	100 concurrent
GPU concurrency	10

Pricing (Pay per second)

Resource	Cost
CPU	$0.0000131/core/sec (~$0.047/core-hour)
Memory	$0.00000222/GiB/sec
Nvidia T4 GPU	$0.000164/sec (~$0.59/hour)

Example: Running a small MCP server (1 core, 1GB RAM) for 100 hours/month:

CPU: 100 hrs × $0.047 = $4.70
Memory: 100 hrs × 1GB × $0.008 = $0.80
Total: ~$5.50/month (well within $30 free credit)

Why Modal for MCP?

Feature	Modal
Python-native	Keep your existing code
ASGI support	FastAPI/Starlette (MCP SSE uses this)
WebSockets	✅ Supported
Cold starts	Sub-second (very fast)
Autoscale to zero	✅ No idle costs
No credit card	Required for signup

How to Deploy

Modal supports ASGI apps (which the MCP SSE server uses). Here's how:

python

# modal_app.pyimport modal
app = modal.App("insync-mcp")
image = modal.Image.from_registry(    "python:3.11-slim").pip_install(    "mcp[cli]",    "pydantic",)
@app.function(image=image, allow_concurrent_inputs=10)@modal.asgi_app()def serve():    from insync_mcp import mcp    return mcp.sse_app()

# modal_app.pyimport modal
app = modal.App("insync-mcp")
image = modal.Image.from_registry(    "python:3.11-slim").pip_install(    "mcp[cli]",    "pydantic",)
@app.function(image=image, allow_concurrent_inputs=10)@modal.asgi_app()def serve():    from insync_mcp import mcp    return mcp.sse_app()

Deploy:

Recommendation

Platform	Best For
Modal ✅	Python MCP servers, $30/month free, no rewrite needed
Cloudflare Workers	TypeScript, 100k requests/day, edge network
Fly.io	Persistent SSE, requires credit card

Modal is your best bet — keep the Python code, deploy with minimal changes, stay within free tier.

Want me to create the Modal deployment files?

Now I have the Modal MCP server example. Let me create a deployment file for our InSync MCP server. The key things to note:

Modal uses fastmcp (note: this is different from mcp.server.fastmcp - it's a separate package called fastmcp)
It uses streamable-http transport (not SSE)
It uses stateless_http=True for serverless operation
The URL ends with /mcp/

Let me check if we're using fastmcp or mcp.server.fastmcp. Looking at our code, we're using from mcp.server.fastmcp import FastMCP which is the official MCP SDK.

Actually, I see the example uses fastmcp package (a separate library), not mcp[cli]. Let me check if we can use the official MCP SDK with Modal or if we need to switch to fastmcp.

Looking at the code more carefully:

fastmcp is a separate package from the official MCP SDK
The official mcp.server.fastmcp uses SSE transport
Modal's example uses fastmcp with streamable-http transport

I should update our server to work with Modal's approach. We have two options:

Use the fastmcp package (separate library)
Adapt our existing mcp.server.fastmcp code to work with Modal

Looking at the Modal example, they mount the MCP app to a FastAPI app. Let me create a Modal deployment that adapts our existing code.

Now I have the Modal example. Let me create the deployment files:

─────────────────────────────────────────────────────────────────────── 🔄 RALPH LOOP: insync-mcp-implementation | Iteration 1/50 ───────────────────────────────────────────────────────────────────────

Current Task (from .ralph/insync-mcp-implementation.md)

Implement InSync MCP Server for ElevenLabs

Goal

Build a Python MCP server (using uv) that provides FHIR patient/appointment tools for ElevenLabs agents.

Architecture

Checklist

Phase 1: Project Scaffold

Create root pyproject.toml with uv workspace
Create packages/shared with FHIR types and mock data
Create packages/insync-mcp structure

Phase 2: Shared Package

Define FHIR types (FhirPatient, FhirAppointment, FhirBundle)
Create 5 mock patients with US Core profiles
Create 8 mock appointments referencing patients

Phase 3: MCP Server

Set up FastMCP server with SSE transport
Implement search_patient tool
Implement get_patient tool
Implement search_appointments tool
Implement create_appointment tool

Phase 4: Testing

Test with MCP Inspector (uv run mcp dev)
Verify SSE transport works
Document how to connect to ElevenLabs

Instructions

User controls: ESC pauses the assistant. Send a message to resume. Run /ralph-stop when idle to stop the loop.

You are in a Ralph loop (iteration 1 of 50).

THIS ITERATION: Process approximately 3 items, then call ralph_done.

Work on the next ~3 items from your checklist
Update the task file (.ralph/insync-mcp-implementation.md) with your progress
When FULLY COMPLETE, respond with: COMPLETE
Otherwise, call the ralph_done tool to proceed to next iteration

use nx for monorepo management so that its easy to extend later

no search the net

So ElevenLabs supports both SSE and HTTP streamable transports. The docs say:

ElevenLabs supports MCP servers that communicate over SSE (Server-Sent Events) and HTTP streamable transports for real-time interactions.

The error is happening because the user is trying to connect to the root URL instead of the SSE endpoint path.

Let me update the MCP server to:

Use the root path for SSE (so the URL works as-is)
Or make it clear what path to use

Looking at the docs, I can set sse_path="/" or use streamable-http transport which might be simpler

Cloudflare Workers — Best Free Option for MCP

Cloudflare is the industry leader for remote MCP servers. They announced the first remote MCP server hosting solution in 2025.

Free Tier Limits

Feature	Free Tier	Notes
Requests	100,000/day	Resets at midnight UTC
CPU time	10ms/request	Enough for simple tools
Memory	128 MB	Per isolate
Workers	100	Per account
Duration	Unlimited	For HTTP requests (while client connected)
Subrequests	50/request	External API calls

Why Cloudflare for MCP?

One-click deploy — Template for MCP servers
No credit card required — Truly free tier
Edge network — Fast global response times
Native MCP support — Official SDK integration
Streamable HTTP transport — Current MCP spec standard

Deploy Options

Option 1: Dashboard (Easiest)

Click to deploy: Cloudflare MCP Template

Option 2: CLI

bash

# Create MCP server projectnpm create cloudflare@latest -- insync-mcp --template=cloudflare/ai/demos/remote-mcp-authless
# Deploycd insync-mcpnpx wrangler@latest deploy

# Create MCP server projectnpm create cloudflare@latest -- insync-mcp --template=cloudflare/ai/demos/remote-mcp-authless
# Deploycd insync-mcpnpx wrangler@latest deploy

Your Server Architecture

Problem: Your current Python MCP server needs to be converted to TypeScript/JavaScript for Cloudflare Workers.

Options:

Option	Pros	Cons
Port to TypeScript	Native Workers support, fastest	Rewrite required
Use Python Workers (Beta)	Keep Python code	Beta, limited features
Alternative: Fly.io	Keep Python, SSE works well	Requires credit card

Recommendation

If you want truly free + no credit card:

Port the MCP server to TypeScript and deploy to Cloudflare Workers

If you want to keep Python:

Use Fly.io (requires credit card but free tier is generous: 3 VMs)

Want me to:

Port the server to TypeScript for Cloudflare Workers?
Set up Fly.io deployment for the existing Python server?

Here's how to test the MCP server:

1. Test with MCP Inspector (Interactive UI)

This opens the MCP Inspector UI where you can:

See all 4 tools registered
Test tool calls interactively
View request/response JSON

2. Test with SSE Transport (for ElevenLabs)

The server will be at http://localhost:8000/sse

For ElevenLabs, you'll need a public URL:

Then use the ngrok URL in ElevenLabs dashboard.

3. Test Tools via Python

bash

uv run python -c "from insync_shared import search_patients, MOCK_PATIENTS
# List all mock patientsprint('=== Mock Patients ===')for p in MOCK_PATIENTS:    print(f'{p.id}: {p.get_display_name()} - {p.birthDate}')
# Search by family nameprint('\n=== Search: family=Rodriguez ===')results = search_patients(family='Rodriguez')for p in results:    print(p.get_display_name())"

uv run python -c "from insync_shared import search_patients, MOCK_PATIENTS
# List all mock patientsprint('=== Mock Patients ===')for p in MOCK_PATIENTS:    print(f'{p.id}: {p.get_display_name()} - {p.birthDate}')
# Search by family nameprint('\n=== Search: family=Rodriguez ===')results = search_patients(family='Rodriguez')for p in results:    print(p.get_display_name())"

4. Connect to ElevenLabs

Start MCP server with SSE: uv run insync-mcp --transport sse --port 8000
Expose with ngrok: ngrok http 8000
Go to ElevenLabs Dashboard → Agents → Your Agent → MCP Servers
Add MCP server with the ngrok URL: https://xxx.ngrok.io/sse
Test via the widget

Project Structure

eleven-insync/├── pyproject.toml              # uv workspace root├── README.md└── packages/    ├── shared/                 # FHIR types + mock data    │   ├── pyproject.toml    │   └── src/insync_shared/    │       ├── __init__.py    │       ├── fhir_types.py    │       ├── mock_patients.py    # 5 patients    │       └── mock_appointments.py # 8 appointments    └── insync-mcp/             # MCP server        ├── pyproject.toml        └── src/insync_mcp/            └── __init__.py     # FastMCP server with 4 tools

eleven-insync/├── pyproject.toml              # uv workspace root├── README.md└── packages/    ├── shared/                 # FHIR types + mock data    │   ├── pyproject.toml    │   └── src/insync_shared/    │       ├── __init__.py    │       ├── fhir_types.py    │       ├── mock_patients.py    # 5 patients    │       └── mock_appointments.py # 8 appointments    └── insync-mcp/             # MCP server        ├── pyproject.toml        └── src/insync_mcp/            └── __init__.py     # FastMCP server with 4 tools

read @PLAN.md and tlel me

Let me fetch the ElevenLabs agents documentation to understand the architecture better.

The user is searching for MRN "MRN004567" but getting 0 results. Let me check the mock data to see what's happening.

Looking at the mock patients, I see:

patient-004 has MRN004567

But in the search_patients function, I have this code:

And patient-004 has active=False! That's why it's being filtered out.

Let me check the mock data again to confirm.

The patient with MRN MRN004567 is inactive — I added a filter that skips inactive patients. Let me check:

Here's a comparison of uv vs Nx:

uv vs Nx Comparison

Aspect	uv	Nx
Purpose	Python package manager & project manager	JavaScript/TypeScript monorepo build system
Ecosystem	Python only	JS/TS, but also supports Java, .NET, Gradle, Maven
Workspaces	✅ Simple workspaces (Cargo-inspired)	✅ Full monorepo management
Caching	Per-project lockfiles, dependency caching	Advanced task caching (local + remote)
Task Running	`uv run` for commands/scripts	`nx run`, `nx affected`, task pipelines
Language	Rust (extremely fast)	TypeScript

When to Use Each

Use uv when:

✅ Python-only project(s)
✅ Simple workspace with shared dependencies
✅ Need fast dependency resolution (10-100x faster than pip)
✅ Publishing Python packages to PyPI
✅ Your case: MCP server in Python with shared data package

Use Nx when:

✅ JavaScript/TypeScript monorepo
✅ Complex task pipelines (build → test → lint → deploy)
✅ Need distributed CI/CD with remote caching
✅ Multiple frameworks (React, Angular, Node, Next.js)
✅ Module boundary enforcement between packages

For Your Project

Use uv — here's why:

Python-only — MCP server, shared types, all Python
Simple workspace — Just 2 packages (shared + insync-mcp)
No complex build pipeline — Just run the MCP server
FastMCP uses uv — The MCP Python SDK docs use uv run

Structure:

eleven/├── pyproject.toml          # Root workspace├── packages/│   ├── shared/             # FHIR types + mock data│   │   └── pyproject.toml│   └── insync-mcp/         # MCP server│       └── pyproject.toml

eleven/├── pyproject.toml          # Root workspace├── packages/│   ├── shared/             # FHIR types + mock data│   │   └── pyproject.toml│   └── insync-mcp/         # MCP server│       └── pyproject.toml

If you later need a frontend (React widget customization) or more complex task orchestration, you could add Nx alongside uv — but for now, uv is the right choice.

Shall I proceed with the uv-based implementation?

I see. The SSE transport has specific paths. By default, the SSE endpoint might be at /sse not at the root. Let me check what the default path is and update the server configuration.

The issue is that when running with mcp.run(transport="sse"), the default SSE path might be /sse. The user is trying to connect to https://ialzv-199-247-196-34.a.free.pinggy.link/ (root path).

I should update the server to:

Either run at root path
Or tell the user to use the correct path like /sse

Also, I notice from the docs that SSE is being superseded by "Streamable HTTP transport". Let me check if ElevenLabs supports that as well, and also update the server configuration.

Let me update the MCP server to handle this properly.

The issue is the SSE endpoint path. By default, FastMCP's SSE endpoint is at /sse, not the root. Try:

Update your ElevenLabs config to use: https://ialzv-199-247-196-34.a.free.pinggy.link/sse

Or, I can update the server to run at the root path. Let me also check if ElevenLabs supports the newer "streamable-http" transport:

https://modal.com/docs/examples/mcp_server_stateless

see this and add

I have all the information I need. Now let me start implementing the simplified architecture:

Root pyproject.toml for uv workspace (or separate projects)
packages/shared - Could be Python too, with mock FHIR data
packages/insync-mcp - MCP server with FastMCP using SSE transport

Since we're using Python with uv, let me set up the project structure properly. I'll create a uv workspace or separate packages.

Let me start implementing. I'll use Ralph for this multi-step implementation.

Now I have all the info needed. Let me implement the simplified architecture using Python/uv.

Setup complete! The folder now tracks https://github.com/surijatin/eleven

Summary:

Initialized Git repository
Added remote origin
Pulled and checked out main branch
Contents: .gitignore and PLAN.md

Useful commands going forward:

git pull - Fetch and merge latest changes from remote
git status - Check current state
git log --oneline - View commit history

Now I understand! The MCP SDK has DNS rebinding protection enabled by default, only allowing localhost and 127.0.0.1. I need to configure it to allow the tunnel host.

Let me update the MCP server:

Let me also fetch the Tools documentation since that's key for MCP integration:

ok great. now, how do i deploy it to a static location? what are my free options?

The user wants me to use nx for monorepo management instead of uv workspaces. Let me reconsider the approach - nx is typically used for JavaScript/TypeScript projects, but it can also work with Python projects. However, for Python, uv workspaces are more native.

Let me think about this:

nx is great for JS/TS monorepos
uv has its own workspace system for Python
The original PLAN.md mentioned npm workspaces

Since we're building a Python MCP server, using uv's native workspace system makes more sense. But if the user wants nx for extensibility, I could set up nx with Python support.

Actually, let me re-read the user's request. They said "use nx for monorepo management so that its easy to extend later". This suggests they want the flexibility to add other types of packages (maybe TypeScript/JS later).

I should probably use a hybrid approach:

Use nx as the monorepo tool
Use uv for Python package management within the Python packages

Or I could just use uv workspaces which is simpler for Python-only projects.

Let me proceed with the implementation. I'll:

Create root pyproject.toml with uv workspace
Create packages/shared with FHIR types
Create packages/insync-mcp structure

Actually, the user specifically asked for nx. Let me set that up. Nx can work with Python, though it's less common. I'll create a hybrid setup:

nx.json for monorepo management
uv for Python package management within packages

Let me start implementing.

I'll use nx for monorepo management. Let me set up the project structure with nx and uv

search https://modal.com/ and see if i can use them

Continuing with the uv-based implementation.

How do I set up this folder to track a remote github repository and then pull that in

Now restart the server. You can do this in your tmux session:

bash

# In the window running the server, press Ctrl+C to stop it# Then run:uv run insync-mcp --transport sse --port 8000

# In the window running the server, press Ctrl+C to stop it# Then run:uv run insync-mcp --transport sse --port 8000

Or I can restart it for you:

you are in a tmux session with the server logs running on window 1. see the request validation failed erorr

The user wants to deploy their MCP server to a static/public location so ElevenLabs can connect to it. They're asking about free options.

Let me think about the options:

Free hosting platforms:
- Fly.io - Free tier with small VMs, good for long-running servers
- Railway - Free tier ($5 credit/month), easy deployment
- Render - Free tier for web services (spins down after inactivity)
- Vercel - Serverless functions, not ideal for SSE/long-running connections
- Cloudflare Workers - Edge functions, but SSE support is tricky
- Google Cloud Run - Free tier, good for containers
- Oracle Cloud - Generous free tier with always-free VMs
- AWS EC2 t2.micro - 12 months free, but requires setup
Considerations for MCP SSE server:
- Needs persistent connection support (SSE)
- Needs to stay running (not serverless that spins down)
- Python/uvicorn app

Best free options for this use case:

Fly.io - Great free tier, supports SSE, easy deployment
Railway - Easy, good free tier
Render - Free but spins down after 15 min inactivity (not ideal for real-time)
Oracle Cloud Free Tier - Always free ARM VM, more setup required

Let me provide a comparison and deployment instructions.

Here are your best free options for hosting the MCP server:

Comparison

Platform	Free Tier	Pros	Cons
Fly.io	3 VMs, 3GB storage	Best for SSE, persistent, easy CLI	Requires credit card
Railway	$5 credit/month	Simplest deployment, great DX	Credit runs out fast
Render	750 hours/month	No credit card required	Spins down after 15min inactivity
Oracle Cloud	Always-free ARM VM	Never expires, 4 VMs	Complex setup, requires CC
Google Cloud Run	2M requests/month	Serverless, scales to zero	Cold starts, SSE tricky

Best Choice: Fly.io

Free tier includes:

3 shared-cpu-1x VMs
3GB persistent volume
160GB outbound data/month
Persistent (no spin-down) — perfect for SSE

Deploy to Fly.io

1. Install flyctl:

2. Login:

3. Create fly.toml in project root:

4. Create Dockerfile:

5. Deploy:

Want me to set up the deployment files for Fly.io? Or would you prefer Railway (simpler but limited credits) or Oracle (more setup but always free)?

use tavily web search and find the latest free providers for remotemcp? cloudflare?

Yes, patient-004 with MRN004567 has active=False. The search_patients function skips inactive patients by default.

I should fix this - either:

Remove the filter for inactive patients
Add an include_inactive parameter to the search
Just set patient-004 to active=True

Let me update the search function to include inactive patients, since for an AI receptionist use case, you'd want to be able to find all patients regardless of status.

The patient MRN004567 (Robert James Williams) has active=False, and my search_patients function filters out inactive patients. Let me fix that — for an AI receptionist, you'd want to find all patients:

Internal error: Unexpected ExceptionGroup occurred while connecting to MCP server at https://ialzv-199-247-196-34.a.free.pinggy.link/ using TransportType.SSE transport. Please try again or contact support if the issue persists.

Now I understand the issue. The TransportSecuritySettings has:

enable_dns_rebinding_protection - default is True when settings are provided
allowed_hosts - list of allowed Host header values
allowed_origins - list of allowed Origin header values

But looking at line 73-74, if settings is None, it defaults to enable_dns_rebinding_protection=False.

However, when using FastMCP, the default behavior seems to be enabling DNS rebinding protection. Let me check how FastMCP passes these settings to the SSE server.

I need to configure the FastMCP server to either:

Disable DNS rebinding protection
Or add the pinggy tunnel host to the allowed hosts

Let me check how FastMCP configures the security settings.

i can test myself. tell me what to do

Done! Let me know if you run into any issues or want to extend the implementation.