Enables searching and researching document collections through hybrid semantic search and agentic research queries with grounded, cited answers. It allows users to list collections, scan document sections, and retrieve full Markdown content via MCP-compatible agents.
An MCP server that allows agents to interact with Meilisearch, a powerful open-source search engine, through its API using natural language.
Enables AI assistants to interact with Meilisearch through a standardized interface, supporting index and document management, search capabilities, settings configuration, task monitoring, and experimental vector search.
Enables searching and filtering real estate properties in France through the Melo API. Supports comprehensive property searches with filters for price, surface area, location, and property type for both sales and rentals.
Enables persistent storage and semantic search of coding preferences, patterns, and implementations using Mem0, allowing AI agents to remember and retrieve development best practices across sessions.
Provides long-term memory capabilities for MCP clients by wrapping the Mem0 API, enabling semantic search, storage, retrieval, and management of conversation memories across users and agents.
Enables persistent memory storage and retrieval for AI conversations using Mem0, with semantic search capabilities backed by local Postgres and Qdrant vector database.
Memara MCP Server provides persistent memory capabilities for Claude Desktop through Server-Sent Events transport. Store conversations, insights, and knowledge with semantic search. Transform Claude from stateless assistant to memory-enabled AI companion.
An enhanced memory management system that wraps memento-mcp with sophisticated features including protocol enforcement, quality scoring, hybrid search strategies, and synthesis reports. Enables intelligent memory storage, retrieval, and analysis with automatic archival and confidence tracking.
MemeStack MCP — hosted MCP server for searching an AI-tagged image gallery (memes, infographics, charts, visual explainers) ranked by Lightning zaps. 19 tools, 6 prompts, 3 resources. Every response includes ready-to-paste citation blocks (markdown / HTML / plain). Free, no auth: https://mcp.memestack.ai/mcp
Enables searching and retrieving Claude Code conversation history that would otherwise expire after 30 days. Supports full-text search, semantic search, and session management with automatic backup of all conversations.
Persistent memory with knowledge graph visualization, semantic/hybrid search, importance scoring, and cloud sync (S3/R2) for cross-session context management.
Persistent memory for AI agents. Store and semantically search memories via REST API or MCP. Free tier available.
Provides persistent memory for AI agents using hybrid search (vector embeddings + BM25) with neural reranking, enabling storage and retrieval of insights, debugging solutions, and patterns across coding sessions.
A local-first MCP server that exposes personal notes and files as unified semantic context for AI agents via vector search and file monitoring.
Provides persistent memory storage with advanced features like tagging, content search, and expiration settings. It enables users to create directed links between stored memories to build structured relationships and knowledge graphs.
Provides tools for AI agents to manage long-term memories, daily notes, and TODO lists through a structured markdown file system. It enables context awareness by allowing agents to read, write, and search entries for persistent information storage.
Enables persistent storage and retrieval of user preferences, context, and decisions across AI sessions using a structured JSON-based memory system. It provides tools for storing, searching, updating, and managing memories organized by namespaces and tags.
Provides cross-device access to a persistent knowledge graph via Cloudflare Workers, enabling memory storage and retrieval through both MCP protocol and REST API with full-text search capabilities.
A universal, local-first MCP hub that indexes personal files (documents, code, etc.) and provides private semantic search via hybrid dense+BM25 retrieval, enabling agents like Claude Desktop to query your data without sending it to the cloud.
