Felix Mcp Smithery MCP Server

Felix MCP (Smithery)

A tiny Model Context Protocol server with a few useful tools, deployed on Smithery, tested in Claude Desktop, and indexed in NANDA.

Tools included

• hello(name) – quick greeting
• randomNumber(max?) – random integer (default 100)
• weather(city) – current weather via wttr.in
• summarize(text, maxSentences?, model?) – OpenAI-powered summary (requires OPENAI_API_KEY)

Public server page https://smithery.ai/server/@FelixYifeiWang/felix-mcp-smithery

MCP endpoint (streamable HTTP) https://server.smithery.ai/@FelixYifeiWang/felix-mcp-smithery/mcp (In Smithery/NANDA, auth is attached via query param api_key and optional profile, configured in the platform UI; do not hardcode secrets here.)

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Demo

In Claude Desktop (recommended)

1. Open Settings → Developer → mcpServers and add:

   {
     "mcpServers": {
       "felix-mcp-smithery": {
         "command": "npx",
         "args": [
           "-y",
           "@smithery/cli@latest",
           "run",
           "@FelixYifeiWang/felix-mcp-smithery",
           "--key",
           "YOUR_SMITHERY_API_KEY",
           "--profile",
           "YOUR_PROFILE_ID"
         ]
       }
     }
   }
   

2. Start a new chat and run:

   • “List tools from felix-mcp-smithery”
   • “Call hello with { "name": "Felix" }”
   • “Call summarize on this text (2 sentences): …”

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Features

• Streamable HTTP MCP – Express + MCP SDK’s StreamableHTTPServerTransport on /mcp (POST/GET/DELETE).
• Session-aware – proper handling of Mcp-Session-Id (no close recursion).
• OpenAI summarization – tidy summaries via chat completions (model default gpt-4o-mini).
• Zero-friction hosting – packaged as a container and deployed on Smithery.

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Install (local)

Requires Node 18+ (tested on Node 20).

git clone https://github.com/FelixYifeiWang/felix-mcp-smithery
cd felix-mcp-smithery
npm install

Set env (only needed if you’ll call summarize locally):

export OPENAI_API_KEY="sk-..."

Run:

node index.js
# ✅ MCP Streamable HTTP server on 0.0.0.0:8081 (POST/GET/DELETE /mcp)

Local curl:

curl -s -X POST "http://localhost:8081/mcp" \
  -H 'Content-Type: application/json' \
  -H 'Mcp-Protocol-Version: 2025-06-18' \
  --data '{"jsonrpc":"2.0","id":0,"method":"initialize","params":{"protocolVersion":"2025-06-18"}}'

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Usage (tools)

hello

{"jsonrpc":"2.0","id":1,"method":"tools/call","params":{"name":"hello","arguments":{"name":"Felix"}}}

randomNumber

{"jsonrpc":"2.0","id":2,"method":"tools/call","params":{"name":"randomNumber","arguments":{"max":10}}}

weather

{"jsonrpc":"2.0","id":3,"method":"tools/call","params":{"name":"weather","arguments":{"city":"Boston"}}}

summarize (needs OPENAI_API_KEY set on the server)

{"jsonrpc":"2.0","id":4,"method":"tools/call","params":{"name":"summarize","arguments":{"text":"(paste long text)","maxSentences":2}}}

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How it works

• Server core: McpServer from @modelcontextprotocol/sdk with tools registered in buildServer(). Transport: StreamableHTTPServerTransport on /mcp handling:

  • POST /mcp — JSON-RPC requests (and first-time initialize)
  • GET /mcp — server-to-client notifications (SSE)
  • DELETE /mcp — end session

• CORS: Allows all origins; exposes Mcp-Session-Id header (good for hosted clients).

• OpenAI summarize: Thin fetch wrapper around /v1/chat/completions with a short “crisp summarizer” system prompt.

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Deployment (Smithery)

1. GitHub repo with:

   • index.js (Express + MCP)

   • package.json (@modelcontextprotocol/sdk, express, cors, zod)

   • Dockerfile

   • smithery.yaml:

     kind: server
     name: felix-mcp-smithery
     version: 1.0.0
     runtime: container
     
     startCommand:
       type: http
     
     transport: streamable-http
     port: 8081
     path: /mcp
     ssePath: /mcp
     health: /
     

2. In Smithery:

   • Create server from the repo.
   • Add Environment Variables: OPENAI_API_KEY (optional for summarize).
   • Deploy → confirm logs show: ✅ MCP Streamable HTTP server on 0.0.0.0:8081 (POST/GET/DELETE /mcp)

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NANDA Index

• Go to join39.org → Context Agents → Add

  • Agent Name: Felix MCP (Smithery)
  • MCP Endpoint: https://server.smithery.ai/@FelixYifeiWang/felix-mcp-smithery/mcp?api_key=YOUR_KEY&profile=YOUR_PROFILE
  • Description: Streamable-HTTP MCP hosted on Smithery. Tools: hello, randomNumber, weather, summarize (OpenAI).

• Test from NANDA: initialize → tools/list → call hello.

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Project structure

.
├─ index.js            # Express + Streamable HTTP + tools
├─ package.json        # sdk/express/cors/zod
├─ Dockerfile          # container build for Smithery
└─ smithery.yaml       # Smithery project config

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Assignment rubric mapping

• ✅ Find/Build: Custom MCP server with 4 tools
• ✅ Deploy: Hosted on Smithery (public server page linked)
• ✅ Test in a host: Verified in Claude Desktop (screenshots/recording included)
• ✅ NANDA Index: Added as a Context Agent (screenshot included)
• ✅ Deliverables: Repo link + working endpoint + host screenshots

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What worked

• Streamable HTTP transport with session management is stable once the close-loop gotcha is avoided.
• Smithery makes deployment + auth key distribution straightforward.
• Claude Desktop connects cleanly via @smithery/cli run ….

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AI Acknowledgement

Parts of this project (tool scaffolding, error fixes, and documentation polish) were produced with AI assistance. The final code, deployment, and testing steps were implemented and verified by me.