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Memory infrastructure for multi-agent AI systems. Shared, persistent, consistent knowledge for agents that need to stop forgetting.
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 173 of 226
Memory infrastructure for multi-agent AI systems. Shared, persistent, consistent knowledge for agents that need to stop forgetting.
Multi-provider 3D model generation MCP server (Tripo, Meshy, Rodin). Text/image/multiview-to-3D, retopology, format conversion, stylization.
Examples of Model Context Protocol (MCP) agents using LangChain, Vercel AI SDK, Rig, and Claude Desktop.
Context Management Layer for Agentic AI. Graph-based knowledge context, SQLite index, advanced FTS5 lexical/BM25 search and cross-session live memory.
AI-powered e-commerce research tools via MCP — Amazon, Alibaba, AliExpress product research, supplier vetting, Keepa price history, and profit…
# MCP Knowledge Graph **Persistent memory for AI models through a local knowledge graph.** Store and retrieve information across conversations using entities, relations, and…
# Notion MCP Server AI-friendly MCP server for the Notion API. It helps agents find, read, query, and update Notion workspaces while keeping responses…
Static security scanner for MCP servers, agent skills & plugins: 17 attack patterns / 60 regex signatures, calibrated to a 1% false-positive rate…
One MCP server, 51 tools for AI agents on mobile + canvas UIs: iOS & Android automation, Maestro E2E, evidenced assertions, React Native/Metro…
AdMapix — AI ad creative intelligence for mobile games & apps. Search 200M+ ads, competitor creatives, app rankings, downloads & revenue.
Local CLI that sends a computer-use agent's Chrome through global residential and mobile IPs. npx aluvia-cli setup.
Facturation électronique française en local : HTML → Factur-X conforme (PDF/A-3 + XML CII EN 16931). Binaire Go, serveur MCP, sans abonnement.
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.