MCP Servers Collection
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
Jump to
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.
Path:overmind/
Purpose: Process management for Procfile-based applications usingOvermind
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)
This is a web browser that enables your coding agent, such as Claude Code, to visit websites on your behalf and assist you in identifying bugs or creating UI test cases.
Create crafted UI components inspired by the best 21st.dev design engineers.
Bring agent evaluations, observability, and synthetic test set generation directly into your IDE for free with Galileo's new MCP server
An MCP server to help AI assistants to answer questions and generate AccelByte Extend SDK code more effectively .
MCP server for AI Diagram Maker — generate beautiful software engineering diagrams directly inside Cursor, Claude Desktop, Claude Code, or any MCP-compatible AI agent
ALAPI MCP Tools,Call hundreds of API interfaces via MCP
AI-powered SVG animation generator that transforms static files into animated SVG components using the Allyson platform
MCP server that gives AI assistants on-demand access to 1,500+ amCharts docs, ~300 code examples, and 1000+ class API references.
APIMatic MCP Server is used to validate OpenAPI specifications using APIMatic. The server processes OpenAPI files and returns validation summaries by leveraging APIMatic’s API.
One shared context layer for AI agents and humans — live API specs, DB schemas, and versioned contracts across repos so every agent and teammate works from the same source of truth.
Build and deploy full-stack Next.js apps with 98 tools for React, AWS, and MongoDB
Sign in to leave a review
Use Google, GitHub, or an email account so ratings stay tied to real people.
No reviews posted yet.





