MCP Tool Server

A Model Context Protocol style tool server. It advertises a set of tools with JSON schemas so an AI agent can discover them, and executes tool calls safely. This is the pattern that lets agents act on real systems rather than only chatting.

Why it is useful for companies

Agents are only useful when they can do things: run a calculation, query a service, look something up. MCP standardizes how tools are exposed and called, so the same tools work across different agents and models. This server shows that pattern with a safe registry you extend with your own company tools.

Related MCP server: MCP Server Demo

What it does

• Advertises tools with JSON-schema input definitions at /tools

• Executes tool calls at /call, with input validation and safe evaluation

• Ships with three example tools: calculator, stats, knowledge_lookup

Quickstart

make install
make run     # http://localhost:8080
curl -s localhost:8080/tools | python3 -m json.tool
curl -s -X POST localhost:8080/call -H "content-type: application/json" \
  -d '{"name":"calculator","arguments":{"expression":"2*(3+4)"}}'

Adding your own tool

Decorate a function in app/tools.py with @tool(name, description, schema). It is then discoverable and callable immediately, no other wiring needed.

Stack

Python, FastAPI, JSON-schema tool registry, Docker, GitHub Actions CI, Pytest.

License

MIT

Workflow diagram

flowchart LR
  A[AI agent] -->|GET /tools| S[MCP Tool Server]
  S -->|tool schemas| A
  A -->|POST /call name+args| S
  S --> V[Validate + execute]
  V --> R[Result back to agent]

A runnable list-and-call sample is in examples/sample_output.json.