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    An MCP server for Claude Code that enables semantic search of past session transcripts and intelligent session forking, allowing users to find and resume from relevant previous conversations with full context.
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    MIT
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    A local-first MCP server that enables semantic search over PDF and DOCX documents using structure-aware parsing and vector storage. It allows users to query their local knowledge base through Claude Code without cloud dependencies or GPU requirements.
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    Generates complex draw.io diagrams (tables, kanbans, GANTT) using a local 9B LLM with RAG, featuring a real-time dashboard and CI/CD pipeline.
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    Enables semantic search and knowledge graph exploration of Obsidian vaults using Smart Connections embeddings. Provides intelligent note discovery, similarity search, and connection mapping through natural language queries.
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    MIT
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    Stores metadata for MCP servers and provides smart search capabilities, allowing users to find appropriate MCP servers for their queries and route requests to the most suitable server.
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    An MCP server that integrates the Brave Search API to provide both web and local search capabilities, with features like pagination, filtering, and smart fallbacks.
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    MIT
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    A smart proxy that aggregates multiple downstream MCP servers and enables natural language search for tools, allowing clients like Claude Desktop to discover and use tools through semantic queries.
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    ISC
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    Enables semantic search across your OneDrive documents using natural language queries, powered by RAG with Pinecone vector search and Azure Blob Storage.
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    Provides persistent, decay-aware memory for AI applications by integrating the Smara Memory API through semantic search and Ebbinghaus forgetting curves. It enables tools to store, search, and manage long-term user context with importance-based ranking and automatic decay.
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    MIT
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    Jinni is a tool to efficiently provide Large Language Models the context of your projects. It gives a consolidated view of relevant project files complete with metadata, overcoming the limitations and inefficiencies of reading files one by one. The philosophy behind this tool is that LLM context wi
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    Apache 2.0
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    Enables AI assistants to interact with LightRAG knowledge graphs, supporting smart upsert for Obsidian vaults, semantic queries, and document/graph management.
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    Apache 2.0
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    Enables intelligent search and retrieval of Japanese legal statutes through the e-Gov API. Supports smart lookup of laws and articles with abbreviation recognition, batch processing, and multi-tier caching for high-performance legal research.
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    MIT
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    AI-powered code generator for the Arbitrum ecosystem with 19 MCP tools. Generates Stylus smart contracts (Rust/WASM), SDK bridging code, full-stack dApps, and Orbit chain deployments using RAG-based retrieval over Arbitrum documentation.
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    MIT