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qualityA
maintenancePrivate knowledge base with Markdown pages and assets, exposed via MCP for agent access.
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MIT
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"Best Gemini MCP server to use with Claude" matching MCP servers:
- FlicenseBqualityFmaintenanceProvides sophisticated context management for Claude, enabling persistent context across sessions, project-specific organization, and conversation continuity.415
- AlicenseCqualityFmaintenanceA TypeScript-based MCP server that implements a simple notes system, allowing users to create, access, and generate summaries of text notes through Claude Desktop.12,6081MIT
- FlicenseCqualityDmaintenanceThis server provides a note storage system with a custom URI scheme, allowing users to add and summarize notes, with adjustable summary detail levels.1
- Alicense-qualityCmaintenanceMCP Memory Server for Claude Code that provides persistent context across sessions using semantic search (RAG).Apache 2.0
- Alicense-qualityCmaintenanceProvides MCP server for interacting with Google Gemini Notebook, allowing users to authenticate via Chrome session and retrieve notebooks with full UTF-8 support.MIT
- Alicense-qualityCmaintenanceAn MCP server that enables collaboration between Claude Code and Z.ai's GLM models — use Claude Opus for planning while GLM handles implementation.5MIT
- Flicense-qualityDmaintenanceAn MCP server implementation that maximizes Gemini's 2M token context window with tools for efficient context management and caching across multiple AI client applications.29
- AlicenseAqualityCmaintenanceSearches your local Claude Code conversation history to recall and resume past solutions.4471MIT
- AlicenseAqualityCmaintenanceServes 484 Claude Code skills and 17 global rules as MCP tools, enabling skill and rule retrieval, keyword search, and project-level rule discovery for any Claude client.11102MIT
- AlicenseAqualityCmaintenancePull Deep Memory from across your Claude Code Sessions — when you need it.15810MIT
- AlicenseAqualityBmaintenanceAn MCP server that reads all your Claude Code project memory files and exposes them as tools. Lets any Claude instance — in any project, or via Claude.ai — query your full project history and preferences.571MIT
- AlicenseAqualityAmaintenancePersistent project context for Google Gemini. 12 MCP tools for .faf Project DNA — auto-detect your stack, validate, score, and sync across CLAUDE.md, GEMINI.md, and AGENTS.md. Python/FastMCP. IANA-registered format (application/vnd.faf+yaml). 183 tests. One file, every AI platform.122MIT
- AlicenseAqualityDmaintenanceA persistent semantic memory system for Claude Code that provides a structured, versioned document store with semantic search and graph visualization. It acts as a memoization layer to store and retrieve research, design decisions, and codebase insights across different work sessions.10Apache 2.0
- FlicenseAqualityDmaintenanceA lightweight MCP server that provides Claude Desktop with persistent memory across conversations by storing, summarizing, and retrieving conversation history.3
- AlicenseAqualityAmaintenanceSelf-improving learning engine for Claude Code. Extracts signals from sessions (corrections, successes,confusion), runs periodic reflections, and evolves behavioral frameworks through evidence. 9 MCP tools, automatichooks, local-only.1586MIT
- AlicenseAqualityDmaintenanceEnables persistent memory for Claude Code sessions by recording observations and building knowledge graphs for cross-session learning and domain knowledge management.11MIT
- AlicenseAqualityAmaintenanceAn MCP server that gives Claude persistent, locally-stored memory with verification-gated lessons and a Pattern Oracle to prevent unverified guesses from becoming ingrained facts.13731MIT
- AlicenseAqualityCmaintenanceA multimodal local memory MCP server that lets AI agents search across text, PDFs, images, audio, and video using Gemini Embedding 2 and a local ChromaDB.74MIT
- AlicenseAqualityDmaintenanceEnables creation and querying of knowledge bases using Google's Gemini API File Search feature, allowing AI applications to upload documents and retrieve information through RAG (Retrieval-Augmented Generation).3106MIT