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About mcp-server-fetch-feedstock MCP Server

@conda-forge

Repository

Basic information

Category

Browser Automation

License

BSD-3-Clause

Transports

stdio

Author

conda-forge

About About mcp-server-fetch-feedstock MCP Server

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

#mcp-server#fetch#web-content

About mcp-server-fetch-feedstock MCP Server config

No standard config provided

This server doesn't expose a parseable MCP config block in its README. See the repository for install instructions.

Repository

About mcp-server-fetch-feedstock MCP Server tools

Tool list not available yet

This listing does not currently have a tool list to display. This does not mean the server has no tools; check its documentation for supported capabilities.

We auto-extract tools from the README. The maintainer can list them under a ## Tools heading to populate this section.

Overview

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

Frequently asked questions

1

What is the license of mcp-server-fetch?

The package license is MIT.

2

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.

3

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.

4

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.

5

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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