Demo HTTP MCP Server

test-http-mcp

Demo Model Context Protocol (MCP) server implemented in Python using the http-mcp package. It can run over HTTP (Starlette/Uvicorn) or over stdio, exposing example Tools and Prompts to any MCP-capable client.

Requirements

• Python 3.13

• uv (recommended) or pip

Install

Using uv (recommended):

uv run python -V            # will create a venv and sync deps from pyproject

Using pip (alternative):

python3.13 -m venv .venv
source .venv/bin/activate
pip install .

Run (HTTP mode)

Starts a Starlette app and mounts the MCP server under /mcp on port 8000.

uv run run-app
# → http://localhost:8000/mcp

Example .cursor/mcp.json:

{
  "mcpServers": {
    "test-http-mcp": {
      "type": "http",
      "url": "http://localhost:8000/mcp/",
      "headers": {
        "Authorization": "Bearer $TEST_TOKEN"
      }
    }
  }
}

Usage with Gemini:

{
  "mcpServers": {
    "test": {
      "httpUrl": "http://localhost:8000/mcp/",
      "timeout": 5000,
      "headers": {
        "Authorization": "Bearer TEST_TOKEN"
      }
    }
  }
}

Run (stdio mode)

Use with Cursor or other MCP clients

Example .cursor/mcp.json entry to connect via stdio:

{
  "mcpServers": {
    "test_studio": {
      "command": "uv",
      "args": ["run", "run-stdio"],
      "env": { "AUTHORIZATION_TOKEN": "Bearer TEST_TOKEN" }
    }
  }
}

What this server exposes

• Tools (see app/tools.py):

  • get_weather(location: str, unit: str = "celsius") -> { weather: str }

  • get_time() -> { time: str }

  • tool_that_access_request(username: str) -> { message: str } (reads Authorization from the incoming request headers)

  • get_called_tools() -> { called_tools: string[] }

• Prompts (see app/prompts.py):

  • get_advice(topic: str, include_actionable_steps: bool = false) → returns a single user message template

Project scripts

Two console entry points are defined in pyproject.toml:

• run-app → app.main:run_http

• run-stdio → app.main:run_stdio

Development

Common tasks (using uv):

uv run ruff check .           # lint
uv run mypy .                 # type check
uv run pytest                 # tests
uv run mdformat .             # format markdown

Implementation notes

• The Starlette app is defined in app/main.py and mounts http_mcp.server.MCPServer at /mcp.

• Tool inputs/outputs are validated with Pydantic v2 models; async tool functions receive a typed ToolArguments with inputs, context, and (in HTTP mode) request.

• A simple Context keeps track of called tool names during a session.

License

MIT — see LICENSE.