falcon-mcp-server
OfficialProvides an MCP interface for Falcon web framework applications, enabling AI agents to interact with Falcon servers and manage routes, requests, and responses.
Click on "Install Server".
Wait a few minutes for the server to deploy. Once ready, it will show a "Started" state.
In the chat, type
@followed by the MCP server name and your instructions, e.g., "@falcon-mcp-serverwhat is the current temperature in London?"
That's it! The server will respond to your query, and you can continue using it as needed.
Here is a step-by-step guide with screenshots.
falcon-mcp-server
Table of Contents
Installation
Install from PyPI:
pip install falcon-mcp-server[serve]This is a fast-moving project in its early stages where new versions are not
always immediately released to PyPI. To install directly from the main branch:
pip install git+https://github.com/falconry/falcon-mcp-serverExample Usage
See the example in example/example.py.
Change dir to example/, and run with Uvicorn:
uvicorn --log-config logging.yaml --factory example:mcp.create_appConnect with any AI agent or MCP inspector supporting the latest Streamable HTTP transport version.
For instance, assuming you have both MCPHost and Ollama installed on your system, you can run it against the previously started server (see above) as:
mcphost --config mcphost.yaml -m ollama:granite4:3b --prompt "What is the current temperature in London?"Omit --prompt to run interactively.
Feel free to pull and use a different ollama model!
License
falcon-mcp-server is distributed under the terms of the Apache-2.0 license.
This server cannot be installed
Resources
Unclaimed servers have limited discoverability.
Looking for Admin?
If you are the server author, to access and configure the admin panel.
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