add-mcp-server
Skill74 starsChanged 9 months agoMITView on GitHub
┌─────────────────┐ ┌──────────────────┐ ┌─────────────────┐ │ Agent YAML │────▶│ Tool Registry │────▶│ MCP Server │ │ tools: │ │ (prefixed tools)│ │ (streamable-http│ │ - cardapi_* │ │ │ │ or stdio) │ └─────────────────┘ └──────────────────┘ └─────────────────┘ apps/myserver/ ├── README.md # Service documentation ├── Dockerfile.mcp # Container build ├── mcpapp/ │ ├── _init_.py │ ├── service.py # FastMCP server │ ├── pyproject.toml # Dependencies (uv) │ └── requirements.txt # pip fallback ├── database/ # Local dev data (optional) │ └── data.json └── scripts/…
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1 rule. 0 are common, 0 are distinctive, and 1 is very specific to this project.
0
Common
Most of the 3 edited versions we read keep these.
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Distinctive
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1
Very specific
Tied to their project's names, files or tools. Probably skip.
- Common
- Distinctive
- Very specific
- Very specific: line 155
RUN pip install --no-cache-dir -r requirements.txt
“Common” is measured: kept by at least 6 in 10 of the 3 edited versions of this file we could read. “Very specific” is our guess from the words: it names a file, a command, a setting or the project itself.
Files
---
name: add-mcp-server
description: Add or integrate an MCP (Model Context Protocol) server for agent tools
---
# MCP Server Integration Skill
Integrate external tool servers via MCP protocol into the agent framework.
## Architecture Overview
┌─────────────────┐ ┌──────────────────┐ ┌─────────────────┐ │ Agent YAML │────▶│ Tool Registry │────▶│ MCP Server │ │ tools: │ │ (prefixed tools)│ │ (streamable-http│ │ - cardapi_* │ │ │ │ or stdio) │ └─────────────────┘ └──────────────────┘ └─────────────────┘
**Key References (read for deployment context):**
- `apps/cardapi/` - Complete reference implementation
- `infra/terraform/cardapi.tf` - Container App + IAM setup
- `devops/scripts/azd/postprovision.sh` - Data provisioning pattern
- `apps/artagent/backend/config/settings.py` - MCP configuration
---
## Intent 1: Create a New MCP Server
### Directory Structure (follow cardapi pattern)
apps/myserver/ ├── README.md # Service documentation ├── Dockerfile.mcp # Container build ├── mcp_app/ │ ├── init.py │ ├── service.py # FastMCP server │ ├── pyproject.toml # Dependencies (uv) │ └── requirements.txt # pip fallback ├── database/ # Local dev data (optional) │ └── data.json └── scripts/ ├── provision_data.py # Cosmos DB seeding └── requirements.txt
### Server Implementation (FastMCP)
Per MCP spec 2025-11-25, use `streamable-http` transport for deployed servers:
```python
"""apps/myserver/mcp_app/service.py"""
import asyncio
import os
from typing import Literal
from fastmcp import FastMCP
from starlette.requests import Request
from starlette.responses import JSONResponse, Response
# Configuration
MCP_PORT = int(os.getenv("MCP_SERVER_PORT", "8080"))
MCP_TRANSPORT: Literal["stdio", "streamable-http"] = os.getenv(
"MCP_TRANSPORT", "streamable-http" # Default for deployed servers
)
mcp = FastMCP(
name="my-server-name",
instructions="Description for LLM context.",
)
# ═══════════════════════════════════════════════════════════════════
# TOOL IMPLEMENTATIONS (callable directly for HTTP handlers)
# ═══════════════════════════════════════════════════════════════════
async def _my_tool_impl(param: str) -> str:
"""Actual implementation - callable directly."""
return f"Result for {param}"
# ═══════════════════════════════════════════════════════════════════
# MCP TOOL REGISTRATION (wrappers)
# ═══════════════════════════════════════════════════════════════════
@mcp.tool()
async def my_tool(param: str) -> str:
"""Tool description for LLM. Args: param: What this param does."""
return await _my_tool_impl(param)
# ═══════════════════════════════════════════════════════════════════
# HTTP REST ENDPOINTS (for backend tool executor)
# ═══════════════════════════════════════════════════════════════════
@mcp.custom_route("/tools/my_tool", methods=["GET"])
async def tools_my_tool(request: Request) -> Response:
"""REST endpoint - calls implementation directly."""
param = request.query_params.get("param", "")
result = await _my_tool_impl(param)
return JSONResponse({"result": result})
# ═══════════════════════════════════════════════════════════════════
# HEALTH ENDPOINTS (required for Container Apps)
# ═══════════════════════════════════════════════════════════════════
@mcp.custom_route("/health", methods=["GET"])
async def health_check(request: Request) -> Response:
tools = mcp._tool_manager._tools
return JSONResponse({
"status": "healthy",
"tools_count": len(tools),
"tool_names": list(tools.keys()),
})
@mcp.custom_route("/ready", methods=["GET"])
async def ready_check(request: Request) -> Response:
return JSONResponse({"status": "ready"})
# ═══════════════════════════════════════════════════════════════════
# MAIN ENTRY POINT
# ═══════════════════════════════════════════════════════════════════
async def main() -> None:
if MCP_TRANSPORT == "stdio":
await mcp.run_async(transport="stdio", show_banner=False)
else:
# streamable-http: serves MCP protocol AND health endpoints
await mcp.run_http_async(
transport="streamable-http",
host="0.0.0.0",
port=MCP_PORT,
show_banner=False,
)
if __name__ == "__main__":
asyncio.run(main())Critical Pattern: Separate _impl functions from @mcp.tool(). The decorator returns FunctionTool (not callable). HTTP handlers must call _impl directly.
Intent 2: Deploy as Container App (Recommended)
Step 1: Dockerfile
# apps/myserver/Dockerfile.mcp
FROM python:3.11-slim
WORKDIR /app
ENV PYTHONPATH="/app" PORT=80
COPY apps/myserver/mcp_app/requirements.txt ./
RUN pip install --no-cache-dir -r requirements.txt
# Copy shared libs if needed (utils, src/cosmosdb)
COPY utils/ /app/utils/
COPY src/__init__.py /app/src/__init__.py
COPY src/cosmosdb/ /app/src/cosmosdb/
COPY apps/myserver/mcp_app/ /app/mcp_app/
WORKDIR /app/mcp_app
EXPOSE 80
CMD ["python", "service.py"]Step 2: azure.yaml
services:
# ...existing...
myserver-mcp:
project: .
host: containerapp
language: python
docker:
path: ./apps/myserver/Dockerfile.mcp
context: .
platform: linux/amd64
remoteBuild: trueStep 3: Terraform (infra/terraform/myserver.tf)
See cardapi.tf for full pattern. Key resources:
# Managed Identity
resource "azurerm_user_assigned_identity" "myserver_mcp" {
name = "${var.name}-myserver-mcp-${local.resource_token}"
location = azurerm_resource_group.main.location
resource_group_name = azurerm_resource_group.main.name
}
# Role assignments: AcrPull, App Configuration Reader, Key Vault Secrets User
# Container App
resource "azurerm_container_app" "myserver_mcp" {
name = "myserver-mcp-${local.resource_token}"
container_app_environment_id = azurerm_container_app_environment.main.id
# ... ingress, template, probes (see cardapi.tf)
tags = merge(local.tags, { "azd-service-name" = "myserver-mcp" })
}
output "MYSERVER_MCP_CONTAINER_APP_URL" {
value = "https://${azurerm_container_app.myserver_mcp.ingress[0].fqdn}"
}Step 4: Postprovision (if data seeding)
Add to devops/scripts/azd/postprovision.sh:
task_myserver_provision() {
header "💾 MyServer Data Provisioning"
# Follow cardapi pattern: get cosmos creds, run provision script
python3 "$(pwd)/apps/myserver/scripts/provision_data.py"
footer
}Step 5: App Config URL Sync
devops/scripts/azd/helpers/sync-appconfig.sh:
myserver_url=$(azd_get "MYSERVER_MCP_CONTAINER_APP_URL")
[[ -n "$myserver_url" ]] && appconfig_set "$endpoint" "app/mcp/servers/myserver/url" "${myserver_url}/mcp" "$label"config/appconfig_provider.py:
APPCONFIG_KEY_MAP = {
"app/mcp/servers/myserver/url": "MCP_SERVER_MYSERVER_URL",
}Intent 3: Deploy as Azure Function (Alternative)
For event-driven/cost-optimized deployments:
# apps/myserver/function_app.py
import azure.functions as func
import json
from mcp_app.service import _my_tool_impl
app = func.FunctionApp()
@app.route(route="tools/my_tool", methods=["GET"])
async def my_tool_http(req: func.HttpRequest) -> func.HttpResponse:
result = await _my_tool_impl(req.params.get("param", ""))
return func.HttpResponse(json.dumps({"result": result}), mimetype="application/json")# azure.yaml
services:
myserver-mcp:
project: apps/myserver
host: function # Instead of containerapp
language: python| Aspect | Container App | Function App |
| Cold start | ~2-5s | ~5-15s |
| Min instances | 1+ | 0 (scale to zero) |
| Cost | Fixed min | Pay-per-execution |
| Best for | Always-on servers | Low-traffic tools |
Intent 4: Configure Backend
Environment Variables
# .env.local
MCP_ENABLED_SERVERS=cardapi,myserver
MCP_SERVER_MYSERVER_URL=http://localhost:8080/mcpsettings.py
MCP_SERVER_MYSERVER_URL: str = os.getenv("MCP_SERVER_MYSERVER_URL", "")
def get_enabled_mcp_servers() -> list[dict]:
servers = []
for name in MCP_ENABLED_SERVERS:
if name == "myserver" and MCP_SERVER_MYSERVER_URL:
servers.append({
"name": "myserver",
"url": MCP_SERVER_MYSERVER_URL,
"transport": "streamable-http",
"timeout": MCP_SERVER_TIMEOUT,
})
return serversIntent 5: Assign Tools to Agent
# registries/agentstore/my_agent/agent.yaml
name: MyAgent
tools:
- myserver_my_tool # Prefixed: {server}_{tool}
- myserver_another_tool
- local_tool # Mix with native toolsQuick Reference
| Task | File(s) |
| MCP server code | apps/{name}/mcp_app/service.py |
| Dockerfile | apps/{name}/Dockerfile.mcp |
| azure.yaml | Add service entry |
| Terraform | infra/terraform/{name}.tf |
| Postprovision | devops/scripts/azd/postprovision.sh |
| App Config sync | devops/scripts/azd/helpers/sync-appconfig.sh |
| Config mapping | config/appconfig_provider.py |
| Settings | config/settings.py |
Transport Types (MCP Spec 2025-11-25)
| Transport | Use Case |
streamable-http | Deployed servers (recommended) |
stdio | Local CLI development |
sse | Legacy (deprecated) |
Common Issues
| Issue | Fix |
FunctionTool not callable | Use separate _impl function |
| Tool not found | Add to MCP_ENABLED_SERVERS |
| Health check fails | Add /health endpoint |
| Deferred startup | Check /api/v1/ready |
Other versions3 projects use a version of this.
Word for word · 0
None found.
Edited · 0
None found.
Wrote their own version · 3
- oguzbilgic/kern-ai★ 73same name
- venkateshv1266/pi-harness★ 2same name
- mcpmux/mcp-servers★ 1same name
How matches are found. Word for word: the exact same text. Edited: shares passages with this file (“99% same” means 99% of its five-word phrases also appear here; 10% or more counts). Their own version: similar meaning, or, weakest, the same name. We can’t tell which project had it first. Projects are counted among the 200 most-starred candidates, and mentions are links to the repository we found, up to 50 per site, so both counts are a floor.
In this repository13 other files it gives its agents.
- .github/copilot-instructions.mdCopilot instructions
- add-componentSkill
- add-endpointSkill
- add-evaluationSkill
- add-message-handlerSkill
- add-toolSkill
- add-voice-handlerSkill
- create-agentSkill
- deployment-guideSkill
- observability-insightsSkill
- service-catalogSkill
- test-and-documentSkill
- troubleshootSkill
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