What prerequisites are needed to run Github Mcp?
Go 1.25+ and a GitHub personal access token with `repo`, `delete_repo`, and `workflow` scopes.
@Stevke7
基本情報
概要はまだありません
以下の設定を使って、このサーバーを MCP 対応クライアントに追加してください。
{
"mcpServers": {
"github-mcp": {
"command": "/path/to/github-mcp",
"env": {
"GITHUB_TOKEN": "your_token_here"
}
}
}
}List all repositories for the authenticated user
Create a new repository
Permanently delete a repository
Change a repository between public and private
Trigger a GitHub Actions workflow
List recent workflow runs for a repository
Get detailed info about a specific repository
Github Mcp is a Go-based MCP server that lets AI assistants like Claude interact with a user’s GitHub account, enabling repository and workflow management through natural language.
Install with go install github.com/Stevke7/github-mcp@latest (requires Go 1.25+). Set the GITHUB_TOKEN environment variable with a personal access token. Then add the server to Claude Code’s MCP configuration (~/.claude/claude_desktop_config.json) and restart the assistant.
Go 1.25+ and a GitHub personal access token with `repo`, `delete_repo`, and `workflow` scopes.
Install the binary, export `GITHUB_TOKEN`, and add the server to `~/.claude/claude_desktop_config.json` with the command path and token environment variable.
Examples include “List all my repositories”, “Create a new private repo called my-project”, “Change my-repo to private”, “Trigger the CI workflow on the main branch of my-repo”, and “Show me the last 5 workflow runs for my-repo”.
Node.js/TypeScript MCP server for Atlassian Jira. Equips AI systems (LLMs) with tools to list/get projects, search/get issues (using JQL/ID), and view dev info (commits, PRs). Connects AI capabilities directly into Jira project management and issue tracking workflows.
Bitbucket MCP - A Model Context Protocol (MCP) server for integrating with Bitbucket Cloud and Server APIs

Model Context Protocol Servers
Yuque mcp server
Node.js/TypeScript MCP server for Atlassian Bitbucket. Enables AI systems (LLMs) to interact with workspaces, repositories, and pull requests via tools (list, get, comment, search). Connects AI directly to version control workflows through the standard MCP interface.
コメント