"fetch" 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.

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

Collect primary sources through GitHub Actions and retrieve portable research packages with capture hashes, provenance ledgers, and explicit review requirements. The stdio MCP server exposes collect and fetch_corpus.

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.

MCP server that gives AI agents web capabilities such as rendering pages, extracting content, resolving links, and inspecting domains, with per-call USDC payments via x402.

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.

An MCP server that exposes any REST API to LLMs through runtime discovery, providing tools to browse endpoints, fetch schemas, and apply business rules without hardcoding or schema duplication.

Security proxy that wraps any MCP server with bidirectional scanning for credential leaks, prompt injection, and tool description poisoning. Also provides an HTTP fetch proxy with a 9-layer scanner pipeline for capability-separated agent deployments.

Hosts multiple Model Context Protocol servers (fetch, memory, GitHub, Postgres, utils) behind a single authenticated gateway, giving AI agents instant access via one Bearer token.

Enables Microsoft Copilot Studio agents to fetch and deliver jokes on demand through the Model Context Protocol. It is published as a Power Platform custom connector, so access benefits from enterprise security, governance, and real-time data capabilities.

Enables MCP-compatible applications to manage and use local or cloud LLM models through comprehensive SDK tools, including model management, text generation, chat with tool support, embeddings, and web search/fetch.

Enables MCP-compatible applications to access local and cloud LLM model management, text generation, chat, embeddings, and web search/fetch through Ollama SDK tools.

An MCP server that lets AI agents browse and fetch skills from remote registries — GitHub repositories or direct HTTP URLs — without installing them locally first.

Provides a trust layer for agent-to-agent commerce and delegated agent authority, allowing MCP-capable agents to install and fetch the latest Internet Court skill dynamically.

Enables users to fetch jokes from multiple sources including Chuck Norris jokes, Dad jokes, and Yo Mama jokes through APIs. Integrates with Microsoft Copilot Studio to provide humor-focused AI agent capabilities.

Enables MCP-compatible clients to manage and interact with local or cloud-hosted Ollama models, including listing, pulling, generating, chatting, embeddings, and web search/fetch operations.

An MCP server that allows Microsoft Copilot Studio to fetch random jokes from three sources: Chuck Norris jokes, Dad jokes, and Yo Mama jokes.

Enables Google Spark to dynamically list, search, and fetch on-demand agent skills via MCP for 24/7 availability.

Enables running a stateless MCP server on Cloudflare Workers with minimal setup, allowing tools to be defined in a factory and served via a fetch handler.

A Model Context Protocol server that wraps multiple backend servers for token-efficient tool discovery via lazy loading. It enables AI models to browse available servers and fetch specific tool schemas on-demand, significantly reducing initial context overhead.