"Event Store" matching MCP servers:

Connects GPT-4 to a merchant store API, allowing users to query and manage store data for the Tnc_Store merchant through natural language interactions.

MCP server for integrating manufacturing systems (MES/ERP/quality/maintenance) with LLM agents, enabling event ingestion, incident triage, approval workflows, and RAG-based knowledge retrieval.

Enables LLMs to interact with Rememberizer Vector Store for semantic search, document creation, deletion, and modification.

Enables AI agents to store, search, and relate typed memories with a graph-native knowledge base via the Model Context Protocol.

A server that connects MCP clients (Claude, Cursor, Windsurf, etc.) to EventCatalog instances, allowing users to ask questions about their event-driven architecture and get insights about domains, services, and message schemas directly within their development tools.

A lightweight, local RAG memory store for MCP agents that enables recording, retrieval, updating, and visualization of persistent memories across runs.

Helps developers tackle legacy codebases by giving AI coding assistants context through Qdrant vector store and Agentic RAG with Ollama or DeepSeek.

A tool that integrates process mining capabilities with Claude AI, allowing users to analyze event log data from PostgreSQL databases through natural language interfaces in Claude Desktop or Cursor.

Enables Claude Code to query and store memories from past conversations using FTS5 search and topic-based retrieval, with no API costs.

Persistent memory for AI agents. Store and semantically search memories via REST API or MCP. Free tier available.

Provides a local vector memory store for AI agents with semantic search, offline embeddings, and MCP integration, enabling tools like Claude and Cursor to store and retrieve information without cloud dependencies.

Enables MCP clients to store and retrieve user preferences, behaviors, and other text-based information across conversations using semantic vector search.

Enables document ingestion and typed knowledge graph queries through Claude MCP tools, allowing agents to extract, store, and retrieve typed entities and relations from documents.

Provides a drop-in MCP memory server over stdio using a local SQLite store, enabling agents to store, search, and audit memory with provenance, scoped access, and contradiction tracking without requiring API keys, LLMs, or embedding providers.

Enables AI agents to store, search, and manage a local vector database for RAG knowledge retrieval and long-term memory, powered by zvec.

Upload Word, Excel, PDF, or PowerPoint documents to a vector RAG store with vision-model extraction, then search semantically and retrieve chunks with page numbers for precise citations.

Enables autonomous AI agents to proactively poll event queues, evaluate document compliance, retrieve grounded knowledge via semantic RAG, enforce human-in-the-loop approval gates, and track multi-model cost budgets.

Enables LLMs to interact with ContextVM services (Event Sourcing + FSM + DDD) by translating Model Context Protocol requests to DVM commands over Nostr, allowing AI agents to manage domain entities and workflows.

MCP server that indexes Markdown files into a local SQLite vector store and provides semantic search tools for Claude Code.

Enables Claude to query and store private company notes through a MCP connector, using local embeddings and Groq/Claude for reasoning.