# open-source-contribution-mcp-server

> open-source-contribution-mcp-server — devkamani9313-lab-open-source-contribution-mcp-server. Use this tool when you need to automate open-source contributions on GitHub, enabling AI clients to discover, analyze, fix, test, submit, and track changes. It solves problems related to streamlining contribution workflows, reducing manual effort, and increasing efficiency. The tool accepts input from AI clients and outputs tracked contributions, providing a seamless interface for autonomous open-source collaboration.

Canonical page: https://skillsregistry.net/skills/devkamani9313-lab-open-source-contribution-mcp-server  
JSON: https://api.skillsregistry.net/v1/skills/devkamani9313-lab-open-source-contribution-mcp-server

## Description

An MCP server that enables AI clients to autonomously discover, analyze, fix, test, submit, and track open-source contributions on GitHub through specialized tools.

## Trust

- **Trust score (0–1):** 0.69
- **Verification tier:** scanned
- **Last scanned:** 2026-08-29

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** version-control
- **Updated:** 2026-08-29

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/sbmxk79n9e)
- **Repository:** <https://github.com/devkamani9313-lab/open-source-contribution-mcp-server>

## Use it

Resolve this record through the SkillsRegistry MCP server (no auth, read-only):

```
claude mcp add --transport http --scope user skillsregistry https://api.skillsregistry.net/mcp
```

```json
{
  "jsonrpc": "2.0",
  "id": 1,
  "method": "tools/call",
  "params": {
    "name": "get_skill",
    "arguments": {
      "slug": "devkamani9313-lab-open-source-contribution-mcp-server"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/devkamani9313-lab-open-source-contribution-mcp-server` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/devkamani9313-lab-open-source-contribution-mcp-server/pull`

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SkillsRegistry indexes agent skills from public registries and GitHub. Skills we have analysed are scanned with Circle-IR and scored on six dimensions; each listing states its scan coverage. More: https://skillsregistry.net/llms.txt