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MCP Server for Feedly API

@hafnium49

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基本情報

カテゴリ

開発者ツール

トランスポート

stdio

作者

hafnium49

MCP Server for Feedly API について

概要はまだありません

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

MCP Server for Feedly API の設定

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

MCP Server for Feedly API のツール

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。

概要

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.

よくある質問

1

What tools does MCP Server for Feedly API provide?

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

2

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`.

3

What transport does the server use?

The server runs over HTTP on port 8080.

4

Do I need an API key to use the server?

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

5

Where can I find the MCP discovery document?

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

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