"fetch" matching MCP servers:

Fetch URLs and return clean, LLM-ready markdown with metadata and layered prompt injection defense. Configurable timeouts, word limits, JS rendering, and link extraction. All-in-one MCP server + CLI.

A Model Context Protocol server that intelligently fetches and processes web content, transforming websites and documentation into clean, structured markdown with nested URL crawling capabilities.

A powerful MCP server for fetching and transforming web content into various formats (HTML, JSON, Markdown, Plain Text) with ease.

Enables retrieval and processing of web page content for LLMs by converting HTML to markdown, with support for content truncation and pagination.

Fetches web content and returns relevant chunks using RAG with semantic chunking, query-based scoring, and LexRank, supporting PDFs and 50+ languages.

Provides web content fetching capabilities using Playwright browser automation, enabling LLMs to retrieve and process JavaScript-rendered content from web pages and convert HTML to markdown for easier consumption.

Enables LLMs to autonomously retrieve and explore web content by fetching pages and recursively following links to a specified depth, particularly useful for learning about topics from documentation.

Fetches web page content, converts it to Markdown, and optionally processes it with a local LLM. Returns structured data in TOON format optimized for agent consumption.

A fast, dependency-light MCP server that converts web pages into clean Markdown, structured metadata, and classified links for language models.

An MCP server that enables Microsoft Copilot Studio to fetch random jokes from multiple sources including Chuck Norris jokes, Dad jokes, and Yo Mama jokes.

Enables agents to pull compact MySQL row diffs into their context, supporting before/after changes via triggers or watermark-based updates, with tools to fetch and acknowledge changes.

Enables AI agents to fetch categorized news headlines and full article text from a multi-topic RSS aggregator, with no API keys required.

Fetchium — token-efficient web retrieval for AI agents

Enables an LLM to search the D&D 5e (2014) rule catalogue and fetch any wiki page as Markdown.

Enables MCP host applications to use configured llms.txt files and fetch documentation URLs from permitted domains through auditable tool calls.

Enables LLM agents to discover and search a catalog of skills, then fetch skill instructions and supporting references, scripts, and assets on demand.

Enables AI agents to fetch web pages, extract clean Markdown, save and search versions offline, crawl sites within bounds, and retrieve stable citations through MCP tools.

Enables clients to search, fetch, and manage entities, relations, notes, sources, pages, media, and status entries in a libSQL-backed personal archive knowledge graph through MCP tools. It also supports a public-only mode that exposes restricted search and fetch access.

Enables AI assistants to fetch, index, and perform semantic RAG-based searches on API documentation from various sources. It provides tools for hybrid search and collection management, allowing users to access up-to-date documentation from projects like Gemini and FastMCP.

Enables MCP clients to list and fetch content from Notion pages and Google Drive files, returning normalized documents for downstream RAG ingestion.