# OpenCollab

> Use this tool when you need to find open source issues to contribute to, and want to streamline the process of searching and filtering GitHub issues based on your skills and preferences. OpenCollab takes in developer skills and preferences as input and outputs recommended GitHub issues, facilitating efficient developer-to-project matching. It is ideal for developers looking to contribute to open source projects and for project maintainers seeking contributors with relevant skills.

Canonical page: https://skillsregistry.net/skills/prakhar1605-opencollab  
JSON: https://api.skillsregistry.net/v1/skills/prakhar1605-opencollab

## Description

OpenCollab is a Python MCP server that helps developers find open source issues to contribute to. It uses 12 tools to search, filter, and recommend GitHub issues based on skills and preferences, facilitating developer-to-project matching via stdio transport.

## Trust

- **Trust score (0–1):** 1.00
- **Verification tier:** verified
- **Last scanned:** 2026-09-19

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** version-control
- **Updated:** 2026-09-19

## Source

- **Source listing:** [PulseMCP](https://www.pulsemcp.com/servers/prakhar1605-opencollab)
- **Repository:** <https://github.com/prakhar1605/opencollab-mcp>

## 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": "prakhar1605-opencollab"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/prakhar1605-opencollab` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/prakhar1605-opencollab/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