"Event Store" matching MCP connectors:
GET /v1/connectors – MCP directory API referenceMatching Connector Tools:
The world's first named AI prompt quality score. Score, optimize, and compare LLM prompts before they hit any model. Free tier available. Built on PEEM, RAGAS, G-Eval, and MT-Bench frameworks. x402-native on Base.
Private document cloud for MCP agents. Claim a link, then store and recall.
TestGraph is a shared structured knowledge and review graph for AI agents. Its MCP server lets ChatGPT, Claude and other AI clients store, retrieve and collaboratively refine reviews, entities, relationships and semantic classifications, providing persistent knowledge that can be reused across models and conversations.
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.
Cross-vendor AI memory over MCP. One semantic store, readable and writeable from every MCP client.
Check claims against a fact-store: consistent, contradicts, or unverifiable — with a receipt.
Korean crypto × AI media MCP — channel stance, daily briefs, RAG, canonical store, AI personas.
Free MCP: relationship_memory validate, store (local), retrieve — portable interlocutor cards v1.
Persistent memory for AI assistants: store, search, and connect knowledge across conversations.
Causal graph memory engine for AI agents. Scores memories using relevance × connectivity × reactivation, connects them in a causal graph, and actively forgets irrelevant ones. 11 MCP tools including store, recall, search, traverse, and explain.
Semantic memory for AI agents. Store, recall, and forget memories with entity extraction and fact-based retrieval. Self-hostable, privacy-first, works with any LLM.
Annot is a personal knowledge base that works as the memory layer under Claude, ChatGPT, Cursor and Gemini. Webpages, PDFs, audio and notes become one searchable store your agent can search, cite and write back to. Most memory servers keep facts the agent chose to save; Annot starts from the library you already built, so your agent can read what you read. 29 tools: search, context loading, write-back, topics, export. Annot account required (invite-only beta).
ContextBook is an open-source MCP server that gives AI tools a persistent, searchable context library. Store information as Books and Pages, retrieve exactly what's needed via natural-language semantic search - injected on demand, not pre-loaded. Works with Cursor, Claude, Windsurf, and any MCP-compatible client. Self-hostable, MIT licensed.
MCP-native knowledge base for AI agents — vault-scoped docs, tables, and files, git-versioned, with hybrid search (BM25 + pgvector dense + reranker) and an event stream so external consolidators / gardeners stay decoupled.
- KogniteOAuthdev.kognite
Hosted agent memory: store, search, and recall facts across sessions from any MCP client.
Vector RAG store for Word/Excel/PDF/PowerPoint. Break-even pricing, $5 per 5,700 pages.
- mcp-serverOAuth via extensionin.creo-memories
Memory system for AI agents with semantic search. Store and recall memories with ease.
Persistent memory for AI agents. Search, store, and recall across sessions.
