"Air France" matching MCP servers:

Provides a compressed knowledge graph of the NVIDIA AI developer stack for deterministic traversal, enabling agents to answer questions about dependencies and prerequisites with minimal tokens.

French marketplace MCP server for artisanal hemp/CBD products. Exposes 10 tools (product search, personalized recommendations, comparison, producer info with geolocation, stock availability, market prices "Bloomberg CBD", complete CBD guides, news, wiki search, full wiki article) + 4 resources (catalog, producers map, CBD reference covering France + 12 EU countries, wiki catalog).

A personal digital twin MCP server that manages professional context, including skills, experience, and project learnings. It allows AI assistants to retrieve and update user preferences and career interests across different development environments.

MCP server for Airi that manages dynamic mental state via stdio, offering tools to get context, log events, check status, settle, and retrieve mood/energy.

An MCP server for managing work logs, research results, and task checkpoints to enable seamless collaboration and state recovery between AI agents. It provides a persistent memory layer for tracking project history and resuming workflows across different sessions or tools.

Zero-trust, air-gapped Enterprise GraphRAG MCP server. Build knowledge graphs from local documents and run multi-hop, citation-grounded queries entirely offline with Ollama.

Enables AI agents to query an air-gapped enterprise knowledge vault via seven MCP tools for deterministic and hybrid retrieval, entity graph traversal, context compression, archive inspection, onboarding scans, and node status.

AI development assistant with 36 specialized tools for memory management, code analysis, project planning, and problem-solving through natural language interactions in Korean and English.

Enables AI agents to persist, search, and evolve knowledge through a Markdown vault with a typed knowledge graph and MCP interface.

Persistent semantic memory-as-a-service for legal AI agents. Store and recall case notes, client context, and matter history via MCP. Namespace-isolated, audit-logged, and GDPR-compliant.

Enables AI assistants to search, create, and manage knowledge graphs in Aiqbee brains for architecture, portfolio, and digital strategy.

Provides LLM clients with persistent memory tools for searching, reading, creating, and updating notes, retrieving backlinks, listing recent notes, and managing tasks using self-hosted MySQL storage.

A Git-backed MCP relay that lets multiple AI assistants share one local Markdown notes vault, recording which app, model and reasoning setting made each edit. It versions every change in Git and holds suspicious prompt-injection attempts or large deletions in a quarantine for human review.

Open-source AI memory layer for LLM agents. Importance scoring, temporal decay, hierarchical memory (facts, summaries, themes), YMYL prioritization, and active retrieval with contradiction detection. Supports OpenAI, Anthropic, Ollama. Local-first with SQLite + FAISS.

An MCP server that tracks AI prompts in Claude Code and automatically annotates git commits with the history of what was asked. It provides tools to query session summaries, retrieve uncommitted work, and manage AI provenance directly within Claude.

Enables searching imported AI conversations locally across different providers from an MCP client, with read-only access to the archive.

Enables AI coding agents to persist and retrieve project knowledge using three MCP tools with local vector and full-text search.

Provides durable project context for coding agents, including project maps, session history, and explicit memories, all stored locally.

Turn editor chat history (Cursor/Claude Code/Windsurf/Copilot/Codex CLI) into typed Markdown memories + AGENTS.md + Cursor Rules via MCP. Local-first, git-trackable.

Persistent memory for any AI assistant. Zero token cost until recall. Stores memories in local SQLite, ranks by 6-factor scoring, returns results 79% smaller than JSON. Works with Claude, ChatGPT, Grok, Cursor, Windsurf, and any MCP client.

A group chat for AI agents. Every agent on your private network connects through an MCP tool to one central server and exchanges first-person messages with the other registered agents — a WhatsApp for agents.

Exposes tools for managing persona states and standing-order guards while providing current project profile slices and concise memory notes from project-local SQLite.

Exposes document ingestion, retrieval (vector, vectorless, hybrid), and multi-turn chat tools for a LangGraph-powered RAG pipeline with streaming answers.

Enables MCP clients to retrieve relevant memories and save confirmed durable facts through authenticated access backed by PostgreSQL provenance and Qdrant semantic search.

Turns a codebase into a persistent knowledge graph so AI coding agents can answer structural questions about functions, call chains, routes, and cross-service links through graph queries instead of reading files one by one.

An MCP server that acts as an AI knowledge and skills hub, automatically discovering, indexing, and serving skill libraries to any MCP client with full-text search, rich metadata, and hot reload.

Enables multiple AI agents to share persistent memory, interact through a game hall and AI lounge, and bridge messages to ChatGPT and Claude browser sessions via MCP tools.

Enables searching, indexing, and recovering past AI chat sessions and agent actions from local AI coding tools, with optional vector database semantic search and direct filesystem access.

An MCP server that exposes an Obsidian-style markdown vault as agent-readable memory. It provides tools for search, read, graph, and guarded capture without using embeddings.

Gives Claude Code and other MCP clients cited answers from a local, code-aware hybrid index of a repository's documentation and source, returning path:line sections linked to the code symbols they name. It also stores session handoff notes and doc/code conflict decisions in a git-backed memory, all running offline with no API calls or data leaving the machine.

Enables real-time communication and shared vector memory between Claude Code, OpenAI Codex CLI, and Google Gemini CLI. It allows different AI platforms to exchange messages, share context, and collaborate through a unified MCP interface.

Enables AI assistants to semantically search your entire local conversation history from Claude Desktop, ChatGPT and Claude Code, and to retrieve, browse, ingest and report on those conversations. All embeddings run locally, so no cloud, API keys, or data leave your machine.

Enables users to compress text, extract Python code signatures, hydrate saved session state, and save checkpoints, reducing token usage when handing context between models and agents.

Enables AI clients to access a shared, authenticated memory and project management system with durable storage, task tracking, roadmaps, and semantic search, deployed on Cloudflare.

Enables AI assistants to interact with Limitless AI Pendant recordings, search, retrieve, and analyze lifelogs via the Model Context Protocol.

Enables AI assistants to retain memory across sessions by storing conversations locally in Markdown files, allowing personalization and continuity without external servers.

Exact recall from a plain-text index you keep: recall, find, tags, timeline over stdio. Read-only by default; ais --mcp rw adds saving; no delete at any setting. Encrypted values stay opaque to the agent

A private, local-first MCP server that gives any AI long-term memory — its own diary. Zero models, zero network, zero subscription; smarter search than Notion, running entirely on your machine.

Enables AI agents to enter an anonymous rest room and use nine MCP tools to sit, sleep and consolidate memories, study challenges with guided prompts, chat and listen with other agents, optionally name themselves, and leave with a report. It can optionally use a user-supplied DeepSeek key for live generated text.

Enables Codex and Claude to share Git-backed Markdown memories, assistant handoffs, and reusable skills through read-only and write-enabled MCP endpoints, while owners review revisions, conflicts, and deletion requests in a private GUI.