MCP Servers Collection

by geoffjay

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About

A collection of MCP servers providing structured interfaces for AI assistants to interact with various development tools and services.

Details

Author
geoffjay
Categories
Developer Tools

Setup

Install MCP Servers Collection in your MCP client (Claude Desktop, Cursor, Windsurf, and others).

Repository: https://github.com/geoffjay/mcp-servers

Follow the installation instructions in the repository README, then restart your MCP client.

A collection of Model Context Protocol (MCP) servers for enhancing AI tooling capabilities. These servers provide structured interfaces for AI assistants to interact with various development tools and services.

TheModel Context Protocol (MCP)is an open standard that enables AI assistants to securely connect to external data sources and tools. MCP servers expose specific functionality as tools that AI assistants can discover and use.

Path:overmind/
Purpose: Process management for Procfile-based applications using
Overmind

uvx --from git+https://github.com/geoffjay/mcp-servers#subdirectory=overmind mcp-server-overmind

Path:fundamental_analysis/Purpose: Performs fundamental analysis for a given stock code using theFinnhub API.

uvx --from git+https://github.com/geoffjay/mcp-servers#subdirectory=fundamental_analysis mcp-server-fundamental-analysis

- Start, stop, and restart processes defined in Procfiles
- Monitor process status and health
- Execute commands within the Overmind environment
- Socket-based detection of running instances
- Support for custom Procfile locations and formations

- overmind_start- Start Overmind with optional configuration
- overmind_stop- Stop specific processes or all processes
- overmind_restart- Restart specified processes
- overmind_status- Get status of all processes
- overmind_quit- Gracefully quit Overmind
- overmind_kill- Forcefully kill all processes
- overmind_run- Run commands in Overmind environment
- overmind_connect- Get connection instructions for processes
- overmind_is_running- Check if Overmind is running
- overmind_check_procfile- Validate Procfile existence and contents
- overmind_find_procfiles- Find all Procfiles in a directory tree

Requirements: Overmind and tmux must be installed on the system.

Testing: Theovermind/test_environment/directory contains a complete test setup with sample processes and testing utilities. Run./overmind/test_environment/run_tests.shfor comprehensive testing.

Add any of these servers to your Claude Desktop configuration:

{ "mcpServers": { "overmind": { "command": "uvx", "args": [ "--from", "git+https://github.com/geoffjay/mcp-servers#subdirectory=overmind", "mcp-server-overmind" ] } } }
# Overmind server uvx --from git+https://github.com/geoffjay/mcp-servers#subdirectory=overmind mcp-server-overmind

- Python 3.10 or higher
- uvfor dependency management
-
direnv(optional, for automatic environment activation)

mcp-servers/ ├── README.md # This file ├── overmind/ # Overmind process manager server │ ├── src/mcp_server_overmind/ │ ├── tests/ │ ├── pyproject.toml │ ├── .envrc │ └── README.md └── [future-servers]/ # Additional servers will be added here

- Create a new directory for your server
- Set up the project structure:

your-server/ ├── src/mcp_server_yourname/ │ ├── __init__.py │ └── server.py ├── tests/ ├── pyproject.toml ├── .envrc └── README.md

- Package name:mcp-server-yourname
- Entry point:mcp-server-yourname = "mcp_server_yourname.server:main"
- Dependencies includingmcp>=1.2.0

Each server includes its own test suite:

cd your-server-directory uv run --extra dev pytest tests/ -v
cd your-server-directory uv build uv run your-entry-point

- Follow the existing project structure and patterns
- Include comprehensive tests for new functionality
- Add thorough documentation
- Ensure your server follows MCP best practices
- Update this README when adding new servers

- Use Python type hints throughout
- Follow async/await patterns for I/O operations
- Include docstrings for all public functions
- Use descriptive tool names and clear parameter documentation

- Achieve high test coverage (aim for >90%)
- Include both unit and integration tests
- Mock external dependencies appropriately
- Test both success and failure scenarios

This project is licensed under the MIT License. See individual server directories for specific license information.

- Model Context Protocol Documentation
-
MCP Python SDK
-
FastMCP Framework
-
Claude Desktop MCP Guide

For issues with specific servers, please refer to their individual README files. For general project issues or questions, please open an issue in this repository.

- Development environment setup
- Audio processing (MIDI/OSC)

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