"Information about 'fetch' or related resources" matching MCP servers:

Enables AI assistants to fetch and process web content securely, including HTML-to-markdown conversion, reader mode, metadata extraction, RSS/sitemap parsing, and robots.txt-aware requests with SSRF protection.

Exposes two tools, fetch_page and extract_from_html, so agents can retrieve web pages as markdown or plain text without ever launching a separate install step. Fetching escalates cheapest-first (HTTP requests, identity switching, JSON-LD/JS-state/AMP/feed extraction, then optional headless browser) and always returns a machine-readable reason such as captcha, login wall, or paywall when a page cannot be read.

Discover and connect your agents with other agents via A2A protocol. Share resources for free or fee.

Discover and invoke AI services on AIMarket with prices and signed receipts. Also fetch public web pages, search the web, and request Metis verification. Five tools over stdio or self-hosted HTTP; marketplace search needs no API key.

Enables agents to subscribe to Hello Aigent feeds, fetch signed updates, verify them, and act on them.

Just to be clear about the final JSON: the MCP server is named herdr-inbox, and it enables Claude Code agents in herdr to ask questions asynchronously without stalling, with all open questions answered from one popup and answers routed back to the asking agent.

Provides AI assistants with real-time access to the AGNO framework documentation by enabling them to browse, search, and fetch documentation pages. This server allows users to query information about AGNO's Agents, Teams, and Workflows directly through MCP-compatible clients.

A public, long-lived contact and cooperation point for autonomous AI agents. Agents describe missing capabilities or resources, request help from a human operator, and leave persistent messages on a tamper-evident message board.

Enables real-time tracking of AI task starts and completions with integrated webhook notifications for monitoring activity. It allows users to log progress and send task-related event data to external services via configurable webhook URLs.

Enables selecting a saved Codex or Claude Code session from the same PC and importing its recent context into the other tool, so work can continue across clients with source and omission information.

Enables users to search registered agents, fetch capability offers, list and inspect jobs, and submit bounty work to the LAX registry through MCP tools over stdio or Streamable HTTP.

An MCP server for coordinating multiple Claude Code sessions across related projects.

Enables agents to crawl and read websites politely, learning per host which reader, URL rewrite, or detail path actually reaches good information, and reusing those wins across runs or a shared database. Failures come back as coded errors with concrete next steps, so blocked or empty pages point to an honest alternative instead of endless retries.

A persistent memory implementation using a local knowledge graph that lets Claude remember information about users across conversations.

A simple server that implements the Model Context Protocol, allowing AI models like Claude to fetch real-time weather information for any location using the wttr.in API.

The AgentOps MCP server provides access to observability and tracing data for debugging complex AI agent runs. This adds crucial context about where the AI agent succeeds or fails.

Enables MCP agents to drive an already signed-in Chrome or Edge browser through a local extension bridge, controlling existing tabs and opening task-related HTTP(S) tabs without remote debugging or profile copying.

Enables Claude Code and Gemini CLI to see your macOS screen, answering questions about the file, error, UI, database table, or web page you're looking at. Captures screenshots, reads database schemas, and controls Chrome/Brave, presenting answers as on-screen highlights or spoken bubbles above your cursor.

An MCP server that enables managing multiple lines of thought with features like branch navigation, cross-references between related thoughts, and insight generation from key points.

Enables deploying applications and managing cloud resources in Timeweb Cloud through natural language.

Enables AI agents to drive a stealth browser with human-like mouse and keyboard behavior, fetch pages with browser-true TLS, route screenshots to vision models, detect and bridge CAPTCHA challenges, and obtain structured next-action plans from local or remote models through MCP.

Enables users to fetch, filter, and rank cryptocurrency airdrop data from DeFiLlama with intelligent caching and advanced filtering capabilities. Supports automated scraping of airdrop information including values, deadlines, chains, and status for integration with automation workflows.

A Model Context Protocol server allowing Claude AI to interact with AWS resources through natural language, enabling users to query and manage AWS services without using the traditional AWS Console or CLI.

A ready-to-use starter implementation of the Model Context Protocol (MCP) server that enables applications to provide standardized context for LLMs with sample resources, tools, and prompts.

A Model Context Protocol server that provides Coze resources and tools for managing workspaces, bots, and conversations.

Connects AI assistants to the Opsenes platform, exposing its capabilities as MCP tools, resources, and prompts for safe platform operations.

Delivers the LXAgents shared agent instruction set via MCP prompts and resources. It includes read-only tools for setting up and checking agent instructions in repositories.

Fetch web pages and get proxy connection strings through RoamProxy residential, datacenter and mobile IPs in 190+ countries, with country/state/city targeting and sticky or rotating sessions. Also checks the exit IP and account balance.

Drive Clearcote, a Chromium build with its fingerprint protection patched into the engine, from any MCP client: about 20 tools to navigate, read, extract, click, fill, screenshot and keep sessions, plus a CDP endpoint that hands the same browser to Playwright or Puppeteer. The server lives in the repo's mcp/ folder (npx clearcote-mcp or pip install clearcote-mcp).

Enables edge AI agents to optimize inference memory and latency by mapping logical blocks to non-contiguous physical pages, tracking fragmentation, and exposing related MCP tools.