adityatiwari101104/contribos

Overview

An open-source guide and MCP server for open-source contributors, focused on building trust and getting contributions merged in AI-assisted workflows. It combines practical contribution guidance with a Model Context Protocol server to support AI-era development practices.

Best for

Best for
Open-source contributors and AI-assisted developers seeking a lightweight guide and MCP server for improving contribution success.

Use cases

• Learn how to establish trust and improve merge rates as a contributor
• Run an MCP server to integrate contribution guidance into AI coding assistants
• Reference a Python-based guide for navigating open-source contribution workflows

How to use

Install

pip install contribos

Tested with

Claude Code, Cursor, ChatGPT

Notes

An open-source guide and MCP server for open-source contributors, focused on building trust and getting contributions merged in AI-assisted workflows. It combines practical contribution guidance with a Model Context Protocol server to support AI-era development practices.

1 stars on GitHub. Last updated 2026-10-06. Licensed MIT.

Use cases

• Learn how to establish trust and improve merge rates as a contributor
• Run an MCP server to integrate contribution guidance into AI coding assistants
• Reference a Python-based guide for navigating open-source contribution workflows

Pros

• Combines educational content with a functional MCP server
• Open-source and Python-based, easy to inspect or extend
• Directly addresses AI-era contribution challenges

Cons

• Very early stage with only 1 star and likely minimal community validation
• Scope may be narrow, focusing on contributor trust rather than broader tooling
• Limited documentation or examples implied by the project’s maturity

Indexed from awesome-mcp-servers-punkpeye and enriched against its public facts.