What does this server do differently from the standard `mcp/github` server?
It focuses solely on fetching Dependabot alerts via a dedicated tool (`get_dependabot_alerts`), rather than providing broad Github API access.
@avarant
基本信息
mcp server for github dependabot
使用下面的配置,将此服务器添加到你的 MCP 客户端。
{
"mcpServers": {
"github-dependabot-mcp-server": {
"command": "python",
"args": [
"-m",
"keyring",
"set",
"github_mcp_server",
"personal_access_token"
]
}
}
}工具列表暂未提供
当前收录暂时没有可展示的工具列表,不代表服务没有工具。请查阅项目文档了解支持的能力。
工具是从 README 中自动提取的。维护者可以在 ## Tools 标题下列出工具,即可填充这部分内容。
The Github Dependabot MCP server fetches Github Dependabot alerts for a specified repository. It is intended for developers who use MCP-capable tools (e.g., Claude, Cursor) and need to retrieve security alerts from a Github repository.
Install uv (a fast Python package installer), then clone the repository. Set up a Github Personal Access Token with repo and security_events scopes, either via macOS Keychain or the GITHUB_PERSONAL_ACCESS_TOKEN environment variable. Finally, add the server to your MCP configuration (e.g., ~/.cursor/mcp.json) using the uv command as shown in the README. The server provides one tool: get_dependabot_alerts(repo_owner, repo_name), which returns a list of alert objects from the Github API.
get_dependabot_alerts(repo_owner, repo_name)uv for fast, dependency‑managed executionIt focuses solely on fetching Dependabot alerts via a dedicated tool (`get_dependabot_alerts`), rather than providing broad Github API access.
The server requires `uv` (a Python package installer/resolver) and a Github Personal Access Token with `repo` and `security_events` scopes.
All alert data is fetched live from the Github REST API using the provided token.
The server first attempts to read the token from the macOS Keychain (via `keyring`). If that fails, it falls back to the `GITHUB_PERSONAL_ACCESS_TOKEN` environment variable. It will also try to store the token in the Keychain for future use if it was provided via environment variable.
The server communicates over stdin/stdout using the MCP protocol, as configured in the MCP client’s `mcp.json` with `uv run mcp run main.py`.
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