"Understanding 'fetch' (could refer to programming, definition, or other uses)" matching MCP servers:

A minimal MCP server that exposes Gemini's web and multimodal understanding (video, audio, document, image) through five dedicated tools.

MCP server that fetches remote or local HTML resources and converts them to Markdown, enabling AI clients to summarize or process web content.

An MCP server that analyzes local or remote GitHub repositories, providing intelligent code context and structure to AI coding assistants.

An MCP server that uses Google's Gemini API to analyze videos and convert them to text descriptions that Claude Code can understand and act upon.

Servo-powered MCP server for JS-aware web fetching, content extraction, crawling, and software-rendered screenshots — Chromium-free single binary.

A Model Context Protocol (MCP) server that enables Claude or other LLMs to fetch content from URLs, supporting HTML, JSON, text, and images with configurable request parameters.

Enables fetching and processing web content by retrieving URLs and converting HTML to markdown format. Supports chunked reading of webpages and both local (stdio) and HTTP transport modes with optional authentication.

Enables AI assistants to fetch public data from 120+ sources via natural language and save it locally as Excel, GeoJSON, or KML files.

An MCP server that helps AI assistants access text content from websites that implement bot detection, bridging the gap between what you can see in your browser and what the AI can access.

A secure MCP server for fetching web content for agents, with provably correct SSRF protection against edge cases, redirects, and DNS rebinding.

A Python MCP server for web research that enables fetching web pages, searching, batch-fetching, extracting links, and summarizing content via client-side sampling, with optional local file access.

Enables efficient extraction of specific data from JSON APIs using JSONPath patterns, reducing token usage by up to 99% compared to fetching entire responses. Supports single and batch operations for both JSON extraction and raw text retrieval from URLs.

A Model Context Protocol server that converts Markdown documents to plain text with flexible options and dual protocol support.

Enables downloading videos from 1000+ platforms including YouTube, Bilibili, TikTok, and Twitter using yt-dlp. Supports both MCP protocol and REST API modes with real-time progress tracking, multiple formats, and subtitle downloads.

A Model Context Protocol server that helps AI code editors locate TypeScript symbol definitions in codebases, particularly useful for finding original definitions of imported symbols and classes.

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 query documents using semantic search, supporting PDFs, Word, Excel, and more. Organizes documents by topics from folder structure and provides advanced search features like phrase matching and date filtering.

A stateless MCP server that provides a configurable HTTP client tool for LLM agents, supporting custom methods, headers, bodies, timeouts, redirects, response size limits, DNS overrides, and TLS verification.

Converts any Python Click or Typer CLI into an MCP server automatically — zero-code transformation that introspects CLI commands and exposes them as MCP tools.

Enables existing Express routers to be exposed as MCP tools, dispatching tool calls through the Express middleware stack in-process without a network hop.