MCP Server for Feedly API

@hafnium49

代码仓库

基本信息

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开发工具

传输方式

stdio

作者

hafnium49

关于 MCP Server for Feedly API

暂无概览

#mcp-server#feedly-api#python-sdk

MCP Server for Feedly API 配置

使用下面的配置,将此服务器添加到你的 MCP 客户端。

{
  "mcpServers": {
    "mcp_server_feedly": {
      "command": "python",
      "args": [
        "-m",
        "venv",
        ".venv"
      ]
    }
  }
}

MCP Server for Feedly API 工具

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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。

概览

What is MCP Server for Feedly API?

A minimal Python SDK server that exposes selected Feedly API endpoints (search, collect, entity lookup, autocomplete) as MCP tools. It allows MCP-aware language models to search and retrieve articles or NLP entity information from Feedly.

How to use MCP Server for Feedly API?

Create a Python virtual environment, install dependencies (mcp, httpx, python-dotenv), export your FEEDLY_TOKEN, and run python server.py. The server listens on HTTP port 8080 and provides four tools: feedly.search, feedly.collect, feedly.entity_lookup, and feedly.autocomplete.

Key features of MCP Server for Feedly API

Exposes four Feedly API endpoints as MCP tools.
Requires a Feedly authentication token.
Runs over HTTP on port 8080.
Built with the Python MCP SDK and httpx.
Minimal setup with pip install and environment variable.

Use cases of MCP Server for Feedly API

Search Feedly for articles using the feedly.search tool.
Collect full article content with feedly.collect.
Perform NLP entity lookups via feedly.entity_lookup.
Get autocomplete suggestions with feedly.autocomplete.

常见问题

What tools does MCP Server for Feedly API provide?

It provides `feedly.search`, `feedly.collect`, `feedly.entity_lookup`, and `feedly.autocomplete`.

How do I install and run the server?

Create a virtual environment, install `mcp`, `httpx`, and `python-dotenv`, export your `FEEDLY_TOKEN`, and run `python server.py`.

What transport does the server use?

The server runs over HTTP on port 8080.

Do I need an API key to use the server?

Yes, you must export your Feedly authentication token as the `FEEDLY_TOKEN` environment variable.

Where can I find the MCP discovery document?

The discovery document is available at `http://localhost:8080/.well-known/mcp/`.

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