What are the requirements to run this server?
Python is required. Install dependencies with `pip install -r requirements.txt`. The server must be configured in the Claude Desktop config.
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Basic information
Highly experimental, insecure, and unstable MuckRock FOIA MCP Server with 20+ tools for filing, tracking, and managing Freedom of Information Act requests
No standard config provided
This server doesn't expose a parseable MCP config block in its README. See the repository for install instructions.
RepositoryTool list not available yet
This listing does not currently have a tool list to display. This does not mean the server has no tools; check its documentation for supported capabilities.
We auto-extract tools from the README. The maintainer can list them under a ## Tools heading to populate this section.
A Model Context Protocol (MCP) server for interacting with MuckRock's FOIA platform. It enables users to search, file, and track FOIA requests through an AI assistant like Claude.
Install with pip install -r requirements.txt, then configure in the Claude Desktop config file (claude_desktop_config.json) by pointing the command to Python and the script path. On startup the server will prompt for MuckRock credentials, or you can set the environment variables MUCKROCK_USERNAME and MUCKROCK_PASSWORD.
Python is required. Install dependencies with `pip install -r requirements.txt`. The server must be configured in the Claude Desktop config.
The server prompts for credentials on startup. Alternatively, set the environment variables `MUCKROCK_USERNAME` and `MUCKROCK_PASSWORD`.
No. It is labeled experimental and users should test with test agencies (ID: 248) first. Use at your own risk.
Tokens are automatically refreshed during the session.
A curated list of references for MLOps
This open-source curriculum introduces the fundamentals of Model Context Protocol (MCP) through real-world, cross-language examples in .NET, Java, TypeScript, JavaScript, Rust and Python. Designed for developers, it focuses on practical techniques for building modular, scalable,
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Model Context Protocol Servers
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