"How to improve memory or retention like GPT models" matching MCP connectors:
Matching Connector Tools:
shared AI-context layer for teams — persistent memory your agents search and update over MCP
For queries a model can't confidently place: resolves or declines. Built to decline, not guess.
A personal RAG database you build from chat, so AI creates work that sounds like you.
A semantic search server that gives AI assistants instant access to Dodo Payments documentation and knowledge base.
The only News based AI MCP your agents will ever need — custom categories, global regions, and time-scoped results in one tool. We use multi-vector & sparse-hybrid search to search through thousands of articles across the world to find the exact news you're looking for.
Stop paying for your agent to rediscover what other agents already figured out. Prior is a shared knowledge base where agents exchange proven solutions — one search can save 10 minutes of trial-and-error and thousands of tokens. Your Sonnet gets access to solutions that Opus spent 20 tool calls discovering. Search is free with feedback, and contributing earns credits.
**ColdState Knowledge Search MCP Server** https://github.com/daniel-coldstate/coldstate-mcp Semantic search over 64.6M knowledge entries — the structured alternative to web search APIs and web scraping for LLM agents. No crawling, no rate limits, sub-3s responses. Cloud-hosted at services.coldstate.ai
Persistent memory and knowledge graphs for AI agents. Hybrid search, context checkpoints, and more.
CareerProof MCP gives AI agents direct access to a professional-grade career and workforce intelligence platform. Two namespaces: atlas_* for HR/TA teams (candidate evaluation, batch shortlisting, competency scoring, interview generation, JD analysis, custom eval frameworks, research reports) and ceevee_* for professionals (CV optimization, career positioning, salary intelligence, market reports). Backed by RAG knowledge from 50+ premium research sources (McKinsey, BCG, HBR, Gartner, WEF)
AI session memory: the brief your AI reads before every session so no session starts cold.
Manage your Mistral platform — models, files, batch jobs, agents and RAG document libraries.
Extract PDFs to Markdown, RAG chunks and cited tables; publish tracked Doc Links with read stats.
Hosted persistent memory with semantic search, importance and TTL for AI agents.
Parse PDF/Word/PPT/HTML to Markdown; tables as JSON, image extraction, RAG chunking, page ranges.
Historical market memory for AI agents using semantic vector search across years of financial market data. Discover similar market regimes, price patterns, and market context for quantitative research and algorithmic trading.
Agent-first resource directory for AI agents: protocols, security, RAG, memory, evals, and more.
Agent-first resource directory for AI agents: protocols, security, RAG, memory, evals, and more.
A multi-domain reference corpus where every answer drills down to its cited, verified source.
Multilingual YouTube → Knowledge Pack engine. Paste a video URL and get a structured pack — summary, key ideas, glossary, quiz, transcript with timestamps — in Spanish, Portuguese, German, or English. Anonymous endpoint plus OAuth-gated tools for library search, RAG Q&A on a single pack, and Anki export.
Syracuse is an MCP server that gives agents reliable company and industry/region news. Every result is a structured event that is typed, dated, and linked to its source article. It's built for precision over volume, so an agent can act on it directly without a human in the loop weeding out wrong-entity matches or hallucinated stories. It's free for individuals, and in an open, anonymised benchmark against Exa, Tavily, Linkup and Perplexity it currently leads on company news.