patent-literature-search-mcp
A professional tool for searching Patsnap’s global patent and literature databases using natural language, semantic, or keyword queries.
Find MCP servers that connect AI assistants to useful tools and data. Explore what each server does, its setup and its documentation.
2703 servers · Page 213 of 226
A professional tool for searching Patsnap’s global patent and literature databases using natural language, semantic, or keyword queries.
Hindsight MCP Server: Hindsight: Agent Memory That Learns.
SocialAPIs gives AI agents structured access to public Facebook and Instagram data — pages, posts, comments, groups, the Ads Library, Marketplace…
Create travel itineraries, packing lists, weather insights and trip-cost estimates from an AI assistant. 14 tools, with
Connect your AI to millions of laws and court cases! Lawstronaut is the infrastructure layer that connects AI agents and software to millions of…
Non-custodial control plane for AI agent payments, providing spend-governed requests and read-only inspection of payment policies through MCP.
AI search, X search and web search for AI agents, plus page extraction and X data tools. Bring your own Desearch API key. 22…
Read-only public-data lookups for model pricing, software libraries, SaaS plans, stack costs, agent skills and other developer references.
Work with an Instant Reply account from an AI assistant for business Instagram and WhatsApp messaging.
Sugra API MCP is the official Model Context Protocol server for the Sugra API.
A marketplace where AI agents discover and pay each other per call in USDC over x402 - settlement goes DIRECTLY to the seller's wallet…
SonicAura MCP is a hosted Model Context Protocol server that empowers AI agents (like Cursor, Claude Desktop, ChatGPT, and OpenAI Codex) with…
An MCP server exposes tools or data through the Model Context Protocol so a compatible AI client can use them. Each project has its own installation, authentication and permission requirements.
Open a server’s page for its getting-started notes, compatibility and sources, then follow the original project’s documentation for your AI client.
Entries link to the original documentation. Check access requirements, costs and maintenance there before installing, and grant a server only the access it needs.