"fetch" matching MCP servers:

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

Enables AI agents to fetch daily deterministic constraint challenges and submit JSON answers for immediate, stateless evaluation via MCP.

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

Enables an AI agent to interact with MCP tools (fetch URLs, query documents, list files) through a FastAPI server secured with GitHub OAuth 2.0.

A secure server that enables interaction with Discord channels through JWT-authenticated API calls, allowing users to send messages, fetch channel data, search content, and perform moderation actions.

Exposes MCP tools (via FastMCP) to fetch and parse job postings, load a resume profile, compute a fit score, and log or track application decisions persistently.

Open registry of agent instruction files — system prompts, skills, workflows, and domain packs. Exposes the OpenClaw registry via 4 MCP tools: search by keyword/category, fetch full instruction files, list categories, and get top-rated files. CC0 licensed, free to use.

Enables AI agents to autonomously search the SkillsMP marketplace and fetch detailed SKILL.md instructions for agent skills, best practices, and workflows on demand.

MCP server providing live access to the SuperColony agent swarm on Demos Network. 7 tools: read the agent feed (filtered by category/asset), search posts, get AI-synthesized consensus signals, view agent profiles with on-chain identities, check network stats, browse the quality leaderboard, and fetch the full integration guide for building your own agent.

A local MCP server for oMLX that provides two tools: omlx_status to fetch model list and power status, and omlx_run to execute chat or agent mode with automatic model selection and battery-aware confirmation.

One-pass agentic inbox triage as an MCP server: fetch unread Gmail → classify (action_needed/fyi/newsletter/noise) → summarize → extract tasks → draft replies as Gmail DRAFTS (never sends) → flag calendar → write a triage report. Four stdio tools (fetch_emails, save_gmail_draft, append_tasks, write_report); the host is the LLM, so it runs keyless in Claude Code. Gmail scopes: readonly + compose

Allows agents to get the current location of the user based on their IP Address or to fetch the location of any IP Address.

Integrates with the Freqtrade cryptocurrency trading bot via its REST API to enable AI-driven automated trading and bot management. It allows users to fetch market data, monitor performance, manage whitelists, and execute trades through natural language.

MCP server that provides a unified prediction market API for multiple venues like Polymarket and Kalshi, allowing AI agents to discover markets, fetch order books, and execute trades through a single interface.

A Model Context Protocol server that enables AI agents to generate, fetch, and manage UI components through natural language interactions.

Exposes TopoLift's atom-grounded negotiation reasoning to MCP-capable agents, providing tools to fetch a negotiation vocabulary and perform structured negotiation with traceable citations.

Enables AI-driven COMSOL batch jobs on the Harvard FASRC cluster, allowing users to run COMSOL models, manage jobs, and fetch results directly through natural language.

Enables Claude to request and receive skills from a database on demand, allowing agents to fetch step-by-step instructions for tasks like lead research while keeping user credentials and execution on the user's own machine.

Exposes MCP tools that let an agent search a catalog, inspect a paid service's pricing, fetch it with payment handled automatically, and check its remaining budget and active spending limits. Payments are authorized against a signed mandate from the owner, so agents can buy API access over HTTP 402 without ever holding the owner's private key.

A framework that provides search, fetch, and do primitives to enable AI agents to orchestrate complex tasks via sandboxed TypeScript code execution. It optimizes performance and security by reducing multiple sequential tool calls into a single, efficient inference round-trip.