MCP_server_fastapi
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About MCP_server_fastapi
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Basic information
Config
Add this server to your MCP-compatible client using the configuration below.
{
"mcpServers": {
"MCP_server_fastapi": {
"command": "uv",
"args": [
"pip",
"install",
"-r",
"pyproject.toml"
]
}
}
}Tools
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Overview
What is MCP_server_fastapi?
MCP_server_fastapi is a Model Context Protocol (MCP) server that exposes tools (such as a weather tool) for AI assistants to call. It is built for developers who want to integrate MCP tools into their applications using a Python stack.
How to use MCP_server_fastapi?
Install dependencies with uv pip install -r pyproject.toml. Run the server via python src/server.py or uv run start. Test and debug tools locally using the MCP Inspector: mcp dev ./src/weather.py.
Key features of MCP_server_fastapi
- Dependency management with
uvfor faster installation - Supports both Python and
uvrun commands - Debugging with MCP Inspector
- Requires Python 3.12+
- Includes a weather tool (indicated by
weather.py)
Use cases of MCP_server_fastapi
- Providing weather data to AI assistants via MCP
- Building custom MCP tools with Python and testing locally
- Integrating MCP tools into LLM applications
FAQ from MCP_server_fastapi
What are the requirements to run the server?
Python 3.12+, uv installed, and the mcp CLI installed.
How do I install the dependencies?
Run uv pip install -r pyproject.toml in the project root.
How do I start the server?
You can run python src/server.py or uv run start.
How do I test or debug a tool locally?
Use the MCP Inspector with mcp dev ./src/weather.py.
What runtime environment does the server use?
The server runs on Python and uses uv for package management.
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