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qualityAn MCP server that enables fetching web content using the Node.js undici library, supporting various HTTP methods, content formats, and request configurations.
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TypeScript
MIT License
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Why this server?
Enables fetching web content using the Node.js undici library, supporting various HTTP methods and content formats.
Why this server?
Provides unified access to multiple search engines, AI tools, and content processing services.
Why this server?
Enables LLMs to search, retrieve, and manage documents through Rememberizer's knowledge management API.
Why this server?
Provides functionality to fetch web content in various formats, including HTML, JSON, plain text, and Markdown.
Why this server?
Provides AgentQL's data extraction capabilities enabling AI agents to get structured data from unstructured web.
Why this server?
Enables retrieval and processing of web page content for LLMs by converting HTML to markdown.
Why this server?
Enables AI assistants to interact with the Unstructured API, providing tools to list, create, update, and manage sources, destinations, and workflows.
Why this server?
Enables semantic search, image search, and cross-modal search functionalities through integration with Jina AI's neural search capabilities.
Why this server?
Implementation of an MCP server for the RAG Web Browser Actor. This Actor serves as a web browser for large language models (LLMs) and RAG pipelines, similar to a web search in ChatGPT.
Why this server?
A Model Context Protocol server that enables downloading and parsing Substack posts directly through the Claude desktop app, allowing users to access and summarize Substack content.