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
基本信息
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.
使用下面的配置,将此服务器添加到你的 MCP 客户端。
{
"mcpServers": {
"hashnode-mcp-server": {
"command": "python",
"args": [
"-m",
"venv",
".venv"
]
}
}
}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。
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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