mcp-server-fetch-feedstock
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A Model Context Protocol server providing tools to fetch and convert web content for usage by LLMs.
The mcp-server-fetch is a Model Context Protocol server designed to facilitate the retrieval and conversion of web content for use by Language Learning Models (LLMs). It provides a robust solution for fetching web pages and converting HTML content into markdown format, making it easier for LLMs to process and understand the data. This server is particularly useful for applications that require real-time data extraction and processing from the web, enabling seamless integration with LLMs to enhance their capabilities. The server is available under the MIT license and can be installed via the conda-forge channel, ensuring easy access and installation across different platforms.
Features
- Web Content Fetching: Retrieve web pages efficiently for processing.
- HTML to Markdown Conversion: Convert HTML content to markdown for easier LLM consumption.
- Cross-Platform Support: Available for installation on Linux, Windows, and OSX.
- Community-Driven: Developed and maintained by the conda-forge community.
- Automated Builds: Continuous integration ensures up-to-date builds and easy maintenance.
