What does the Hashnode MCP Server do?
It acts as a bridge between AI assistants (like Claude) that support the Model Context Protocol and the Hashnode API, allowing programmatic article management, searching, and user info retrieval.
@sbmagar13
基本情報
A Model Context Protocol (MCP) server that connects AI assistants to the Hashnode API, enabling seamless content creation, management, and retrieval through AI interactions. Create, update, and search Hashnode articles directly through Claude or other AI assistants.
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": {
"hashnode-mcp-server": {
"command": "python",
"args": [
"-m",
"venv",
".venv"
]
}
}
}ツール一覧はまだありません
この掲載には表示できるツール一覧がまだありません。サーバーにツールがないという意味ではありません。対応機能はプロジェクトのドキュメントをご確認ください。
ツールは README から自動的に抽出されます。メンテナーは ## Tools という見出しの下に記載することで、このタブに反映できます。
A Model Context Protocol (MCP) server that provides tools for accessing and searching Hashnode content programmatically. It enables AI assistants to create, update, and retrieve Hashnode articles, search for content, and get user information via the Hashnode GraphQL API.
Install by cloning the repository, creating a Python virtual environment, and installing dependencies. Set environment variables HASHNODE_PERSONAL_ACCESS_TOKEN and (optionally) HASHNODE_API_URL in a .env file. Run the server manually with python run_server.py or python mcp_server.py, or configure it in Claude Desktop or Cline VSCode extension to be managed automatically.
It acts as a bridge between AI assistants (like Claude) that support the Model Context Protocol and the Hashnode API, allowing programmatic article management, searching, and user info retrieval.
Python 3 with `asyncio` and `httpx` libraries, plus the packages listed in `requirements.txt`. The server uses asynchronous programming for efficient API communication.
You must provide a `HASHNODE_PERSONAL_ACCESS_TOKEN` in the `.env` file or as an environment variable. The server uses this token to call the Hashnode GraphQL API at `https://gql.hashnode.com`.
By default, the server listens on `localhost:8000` using Server-Sent Events (SSE) transport. It can also be integrated with MCP clients like Claude Desktop or Cline VSCode extension.
Yes. You can start it directly with `python mcp_server.py` or `python run_server.py`. The server will then accept connections from any MCP-compatible client.

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