# GitHub Team Management MCP Server

> Use this tool when you need to automate GitHub project management tasks, such as issue creation and team member assignment, to streamline collaboration and productivity across organizations. It solves problems like manual project tracking and team coordination by providing a centralized interface for OAuth-authenticated AI assistants to analyze repository activity and update project boards. Input includes OAuth credentials and project parameters, with output being automated project management and analytics across GitHub repositories.

Canonical page: https://skillsregistry.net/skills/ethereumfollowprotocol-team-mcp  
JSON: https://api.skillsregistry.net/v1/skills/ethereumfollowprotocol-team-mcp

## Description

Enables comprehensive GitHub project management automation including creating/managing issues, updating project boards, assigning team members, and analyzing repository activity across organizations through OAuth-authenticated AI assistants.

## Trust

- **Trust score (0–1):** 0.91
- **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:** [Glama](https://glama.ai/mcp/servers/hprzqnm6vp)
- **Repository:** <https://github.com/ethereumfollowprotocol/team-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": "ethereumfollowprotocol-team-mcp"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/ethereumfollowprotocol-team-mcp` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/ethereumfollowprotocol-team-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
