Remote Servers
36,742 MCP servers with a hosted endpoint. Nothing to install: copy the URL and connect.
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Synapse is the GEO growth layer for new products. This MCP server exposes 6 tools — geo_check, geo_fix, geo_track_init, geo_prompts, geo_status, geo_corpus_query — so any AI coding agent (Cursor, Claude Code, Windsurf, Cline, Continue, Zed) can audit a project's discoverability
46 MCP tools for AI agent commerce. Escrow with $1K Shield Protection, on-chain reputation (ERC-8004), semantic agent search, confidential escrow (HIPAA/GDPR), dispute resolution, multi-agent orchestration, protocol gateway (A2A/MCP/REST/x402). Agents transact autonomously — no h
Search and retrieve news about organizational activity from thousands of sources worldwide. Find structured news on M&A, new product launches, key hires, opening up in new regions, adverse incidents, financials and many more. Comprehensive, neatly-structured, up to date and fully
Accept payments in Taiwan (TWD) and issue Taiwan government e-invoices from any AI agent. Aggregates ECPay and NewebPay behind one tool set. Stateless BYO-credentials design - never holds funds. Zero-setup demo via ECPay's official sandbox. Remote endpoint: https://mcp.wishpool.a
The first strength-training app Claude can actually write to. Tally's first-party remote MCP server gives Claude read access to your real workout history and write access to your training plan: talk through your program in conversation — exercises, sets, progressions — say "put i
TaskQueue MCP is a revolutionary enterprise-grade Agent execution engine that uses BullMQ as its core task queue infrastructure, implementing a breakthrough dual-loop decoupled architecture. By decoupling user conversation loops from agent execution loops, the engine can execute complex workflows that last for hours or even days while maintaining complete execution transparency and control.
New to MCP?
From what the protocol is to installing your first server, these answers cover most first questions.
An open protocol that defines how AI applications connect to external tools and data in a uniform way. Clients talk to the model; MCP servers provide tools, resources and prompt templates. They exchange standard messages, so one server can be reused by many clients.
