feat: add MCP server with HTTP/SSE transport for AI integration

Exposes homelab topology to MCP-compatible AI clients (Claude Code, etc.)
over LAN via HTTP/SSE on port 8001.

- New mcp/ service: FastAPI + mcp SDK, SSE transport
- Auth: X-API-Key for AI clients, X-MCP-Service-Key for backend (Docker-internal)
- Resources: canvas, nodes, edges, scan/pending, scan/runs
- Tools: create/update/delete nodes+edges, trigger scan, approve/hide devices
- Backend deps.py: accepts JWT or MCP service key (no plain-text password)
- 40 tests (auth, resources, tools) across asyncio + trio
- docker-compose.yml: mcp service on port 8001
- README: MCP setup section with Claude Code/Desktop config examples
This commit is contained in:
Pouzor
2026-03-13 16:41:34 +01:00
parent f8cadba17b
commit 7935b671d3
20 changed files with 596 additions and 3 deletions
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+21
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import hmac
from starlette.middleware.base import BaseHTTPMiddleware
from starlette.requests import Request
from starlette.responses import JSONResponse
from .config import settings
class ApiKeyMiddleware(BaseHTTPMiddleware):
async def dispatch(self, request: Request, call_next):
# Health check bypass
if request.url.path == "/health":
return await call_next(request)
key = request.headers.get("X-API-Key", "")
expected = settings.mcp_api_key
if not key or not hmac.compare_digest(key.encode(), expected.encode()):
return JSONResponse({"detail": "Invalid or missing X-API-Key"}, status_code=401)
return await call_next(request)
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import httpx
from .config import settings
class BackendClient:
def __init__(self):
self._client: httpx.AsyncClient | None = None
async def start(self):
self._client = httpx.AsyncClient(
base_url=settings.backend_url,
headers={"X-MCP-Service-Key": settings.mcp_service_key},
timeout=30.0,
)
async def stop(self):
if self._client:
await self._client.aclose()
async def request(self, method: str, path: str, **kwargs) -> dict:
resp = await self._client.request(method, path, **kwargs)
resp.raise_for_status()
if resp.status_code == 204:
return {}
return resp.json()
async def get(self, path: str) -> dict | list:
return await self.request("GET", path)
async def post(self, path: str, body: dict) -> dict:
return await self.request("POST", path, json=body)
async def patch(self, path: str, body: dict) -> dict:
return await self.request("PATCH", path, json=body)
async def delete(self, path: str) -> dict:
return await self.request("DELETE", path)
backend = BackendClient()
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from pydantic_settings import BaseSettings
class Settings(BaseSettings):
mcp_api_key: str = "mcp_sk_changeme" # AI client → MCP server
mcp_service_key: str = "svc_changeme" # MCP server → backend
backend_url: str = "http://backend:8000"
model_config = {"env_file": ".env", "extra": "ignore"}
settings = Settings()
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from contextlib import asynccontextmanager
from fastapi import FastAPI
from mcp.server import Server
from mcp.server.sse import SseServerTransport
from .auth import ApiKeyMiddleware
from .backend_client import backend
from .resources import register_resources
from .tools import register_tools
mcp_server = Server("homelable")
register_resources(mcp_server)
register_tools(mcp_server)
@asynccontextmanager
async def lifespan(app: FastAPI):
await backend.start()
yield
await backend.stop()
app = FastAPI(title="Homelable MCP", lifespan=lifespan)
app.add_middleware(ApiKeyMiddleware)
sse = SseServerTransport("/mcp/messages")
@app.get("/mcp")
async def mcp_sse(request):
async with sse.connect_sse(request.scope, request.receive, request._send) as streams:
await mcp_server.run(streams[0], streams[1], mcp_server.create_initialization_options())
@app.post("/mcp/messages")
async def mcp_messages(request):
await sse.handle_post_message(request.scope, request.receive, request._send)
@app.get("/health")
async def health():
return {"status": "ok"}
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import json
from mcp.server import Server
from mcp.types import Resource, TextContent
from .backend_client import backend
RESOURCE_LIST = [
Resource(uri="homelable://canvas", name="Canvas", description="Full canvas state (nodes + edges + viewport)", mimeType="application/json"),
Resource(uri="homelable://nodes", name="Nodes", description="All nodes in the homelab", mimeType="application/json"),
Resource(uri="homelable://edges", name="Edges", description="All network edges/links", mimeType="application/json"),
Resource(uri="homelable://scan/pending", name="Pending devices", description="Discovered devices awaiting approval", mimeType="application/json"),
Resource(uri="homelable://scan/runs", name="Scan history", description="Recent scan run history", mimeType="application/json"),
]
ROUTES = {
"homelable://canvas": "/api/v1/canvas",
"homelable://nodes": "/api/v1/nodes",
"homelable://edges": "/api/v1/edges",
"homelable://scan/pending": "/api/v1/scan/pending",
"homelable://scan/runs": "/api/v1/scan/runs",
}
async def read_resource(uri: str) -> list[TextContent]:
if uri.startswith("homelable://nodes/") and uri != "homelable://nodes/":
node_id = uri.split("/")[-1]
data = await backend.get(f"/api/v1/nodes/{node_id}")
return [TextContent(type="text", text=json.dumps(data, indent=2))]
if uri not in ROUTES:
raise ValueError(f"Unknown resource URI: {uri}")
data = await backend.get(ROUTES[uri])
return [TextContent(type="text", text=json.dumps(data, indent=2))]
def register_resources(server: Server):
@server.list_resources()
async def _list():
return RESOURCE_LIST
@server.read_resource()
async def _read(uri: str):
return await read_resource(uri)
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import json
from mcp.server import Server
from mcp.types import Tool, TextContent
from .backend_client import backend
def register_tools(server: Server):
@server.list_tools()
async def list_tools():
return [
Tool(name="create_node", description="Add a new node to the homelab canvas", inputSchema={
"type": "object",
"required": ["type", "label"],
"properties": {
"type": {"type": "string", "enum": ["isp","router","switch","server","proxmox","vm","lxc","nas","iot","ap","generic"]},
"label": {"type": "string"},
"ip": {"type": "string"},
"hostname": {"type": "string"},
"status": {"type": "string", "enum": ["online","offline","unknown","pending"], "default": "unknown"},
},
}),
Tool(name="update_node", description="Update an existing node", inputSchema={
"type": "object",
"required": ["id"],
"properties": {
"id": {"type": "string"},
"label": {"type": "string"},
"ip": {"type": "string"},
"hostname": {"type": "string"},
"status": {"type": "string"},
},
}),
Tool(name="delete_node", description="Delete a node from the canvas", inputSchema={
"type": "object",
"required": ["id"],
"properties": {"id": {"type": "string"}},
}),
Tool(name="create_edge", description="Create a network link between two nodes", inputSchema={
"type": "object",
"required": ["source", "target"],
"properties": {
"source": {"type": "string"},
"target": {"type": "string"},
"type": {"type": "string", "enum": ["ethernet","wifi","iot","vlan","virtual"], "default": "ethernet"},
"label": {"type": "string"},
},
}),
Tool(name="delete_edge", description="Delete a network link", inputSchema={
"type": "object",
"required": ["id"],
"properties": {"id": {"type": "string"}},
}),
Tool(name="trigger_scan", description="Trigger a network discovery scan", inputSchema={
"type": "object",
"properties": {
"ranges": {"type": "array", "items": {"type": "string"}, "description": "CIDR ranges to scan (uses configured defaults if omitted)"},
},
}),
Tool(name="approve_device", description="Approve a pending discovered device and create a node", inputSchema={
"type": "object",
"required": ["id"],
"properties": {
"id": {"type": "string"},
"type": {"type": "string", "enum": ["isp","router","switch","server","proxmox","vm","lxc","nas","iot","ap","generic"], "default": "generic"},
"label": {"type": "string"},
},
}),
Tool(name="hide_device", description="Hide a pending discovered device", inputSchema={
"type": "object",
"required": ["id"],
"properties": {"id": {"type": "string"}},
}),
]
@server.call_tool()
async def call_tool(name: str, arguments: dict):
result = await _dispatch(name, arguments)
return [TextContent(type="text", text=json.dumps(result, indent=2))]
async def _dispatch(name: str, args: dict) -> dict:
if name == "create_node":
return await backend.post("/api/v1/nodes", args)
if name == "update_node":
node_id = args.pop("id")
return await backend.patch(f"/api/v1/nodes/{node_id}", args)
if name == "delete_node":
return await backend.delete(f"/api/v1/nodes/{args['id']}")
if name == "create_edge":
return await backend.post("/api/v1/edges", args)
if name == "delete_edge":
return await backend.delete(f"/api/v1/edges/{args['id']}")
if name == "trigger_scan":
body = {"ranges": args["ranges"]} if "ranges" in args else {}
return await backend.post("/api/v1/scan/trigger", body)
if name == "approve_device":
device_id = args.pop("id")
return await backend.post(f"/api/v1/scan/pending/{device_id}/approve", args)
if name == "hide_device":
return await backend.post(f"/api/v1/scan/pending/{args['id']}/hide", {})
raise ValueError(f"Unknown tool: {name}")