MCP Server for Feedly API
@hafnium49
MCP Server for Feedly API について
概要はまだありません
基本情報
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"
]
}
}
}ツール
ツールは検出されませんでした
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 installand environment variable.
Use cases of MCP Server for Feedly API
- Search Feedly for articles using the
feedly.searchtool. - Collect full article content with
feedly.collect. - Perform NLP entity lookups via
feedly.entity_lookup. - Get autocomplete suggestions with
feedly.autocomplete.
FAQ from MCP Server for Feedly API
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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