About mcp-server-fetch-feedstock MCP Server

@conda-forge

リポジトリ

基本情報

カテゴリ

ブラウザ自動化

ライセンス

BSD-3-Clause

トランスポート

stdio

作者

conda-forge

About mcp-server-fetch-feedstock MCP Server について

A conda-smithy repository for mcp-server-fetch.

#mcp-server #fetch #web-content

About mcp-server-fetch-feedstock MCP Server の設定

標準の設定はありません

このサーバーの README には解析可能な MCP 設定ブロックが含まれていません。インストール手順はリポジトリをご確認ください。

リポジトリ

About mcp-server-fetch-feedstock MCP Server 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-fetch-feedstock?

mcp-server-fetch-feedstock is the conda-forge build recipe for the MCP server that provides tools to fetch and convert web content for usage by LLMs. It enables LLMs to retrieve and process content from web pages, converting HTML to markdown for easier consumption.

How to use mcp-server-fetch-feedstock?

Install the mcp-server-fetch package via conda-forge. First add the conda-forge channel and set channel priority to strict, then run conda install mcp-server-fetch (or mamba install mcp-server-fetch). The package is available for Linux, Windows, and OSX.

Key features of mcp-server-fetch-feedstock

Provides web content fetching for LLMs
Converts HTML pages to markdown format
Enables LLMs to retrieve and process web content
Available through the conda-forge channel
Supports multiple platforms (Linux, Windows, OSX)

Use cases of mcp-server-fetch-feedstock

LLMs accessing web-based information for reasoning tasks
Converting web articles into markdown for LLM ingestion
Providing up-to-date web content to AI assistants during conversation
Enabling LLMs to summarize or analyze web pages on demand

よくある質問

What is the license of mcp-server-fetch?

The package license is MIT.

What runtime dependencies does mcp-server-fetch require?

The README does not specify explicit dependencies beyond the conda environment, but the package is built for conda-forge and requires a Python environment.

Where can I find the source code for the MCP server?

The home page for the actual server is at https://github.com/modelcontextprotocol/servers/tree/main/src/fetch.

How do I update the mcp-server-fetch package?

The feedstock is maintained on conda-forge. To build a new version, fork the feedstock repository and submit a PR. The recipe will be automatically built and uploaded.

Is there authentication or transport configuration needed?

No authentication or transport details are provided in the README. The server is used as an MCP tool with default configuration.

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