# GitHub Projects MCP Server

> Use this tool when you need to scrape and retrieve data from GitHub Projects, including issues and pull requests, to enable natural language interaction with project boards and repository contents. It solves problems related to accessing and managing GitHub project data, providing organizational metadata and repository insights. The tool accepts GitHub Personal Access Tokens as input and outputs relevant project data, making it ideal for use cases that require automated data retrieval and analysis from GitHub Projects.

Canonical page: https://skillsregistry.net/skills/jamescalam-github-projects-mcp  
JSON: https://api.skillsregistry.net/v1/skills/jamescalam-github-projects-mcp

## Description

Provides an MCP server for scraping and retrieving data from GitHub Projects, including issues, pull requests, and organizational metadata. It enables natural language interaction with project boards and repository contents using GitHub Personal Access Tokens.

## Trust

- **Trust score (0–1):** 0.99
- **Verification tier:** verified
- **Last scanned:** 2026-09-28

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** version-control
- **Updated:** 2026-09-28

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/oyw0wob42h)
- **Repository:** <https://github.com/jamescalam/github-projects-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": "jamescalam-github-projects-mcp"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/jamescalam-github-projects-mcp` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/jamescalam-github-projects-mcp/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