A
license-
qualityD
maintenanceClaude Context is an MCP plugin that adds semantic code search to Claude Code and other AI coding agents, giving them deep context from your entire codebase.
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"Using Claude to Create Flowcharts" matching MCP servers:
- Alicense-qualityDmaintenanceEnables Claude to index and retrieve context from codebases using self-hosted Milvus for semantic search, with hardened reliability and security for production use.Last updated441MIT
- Alicense-qualityBmaintenanceA persistent memory system for Claude using LanceDB, enabling semantic search, local embeddings, and tools to manage topics, memories, and todos across conversations.Last updated171MIT
- Alicense-qualityCmaintenanceEnables searching and retrieving Claude Code conversation history via hybrid semantic and keyword search, allowing the agent to access its own past interactions.Last updated4MIT
- AlicenseAqualityAmaintenanceA persistent semantic memory system for Claude Code, using vector search and a judgment ledger to surface prior decisions and calibrate predictions.Last updated17MIT
- Alicense-qualityFmaintenanceA local-first MCP server for indexing and searching codebases using PostgreSQL and Ollama embeddings, ensuring complete privacy and zero API costs.Last updated16MIT
- Alicense-qualityDmaintenanceEnables Claude Desktop to search and query personal document collections (PDF, Word, Markdown, text) using semantic search and conversational AI with full context preservation across exchanges.Last updatedMIT
- Alicense-qualityCmaintenanceEnables intelligent semantic search and discovery of relevant Claude Agent Skills using vector embeddings. Provides access to curated scientific skills and supports both GitHub repositories and local skill directories.Last updated393Apache 2.0
- Flicense-qualityDmaintenanceA semantic search MCP server for YouTube transcripts using OpenAI embeddings and ChromaDB, enabling natural language queries to find conceptually similar content beyond keyword matching.Last updated
- Flicense-qualityDmaintenanceEnables AI assistants to index and search codebases using semantic search powered by multiple embedding providers (OpenAI, VoyageAI, Gemini, Ollama) and vector database storage.Last updated
- Alicense-qualityCmaintenanceA lightweight RAG system that provides an MCP server for searching and interacting with vector-based knowledge bases. It enables users to perform retrieval-augmented generation and search across Qdrant collections through a standardized interface.Last updated2MIT
- Alicense-qualityDmaintenanceEnables Claude to search and retrieve documents from Azure AI Search indexes with intelligent summarization and analysis using LangGraph workflows and optional Google Gemini integration.Last updatedMIT
- Alicense-qualityDmaintenanceEnables multi-tenant RAG with Qdrant, LM Studio embeddings and summaries, and advanced document processing for semantic search across isolated client collections.Last updated13MIT
scrapedatshi-mcpofficial
AlicenseAqualityBmaintenanceEnables scraping, crawling, structured data extraction, and vector DB synchronization from natural language in Claude Desktop using the scrapedatshi RAG pipeline API.Last updated12MIT- AlicenseAqualityBmaintenanceEnables Claude to scrape, crawl, extract data, and sync to vector databases using scrapedatshi's RAG pipeline, with support for multiple embedding and vector DB providers.Last updated12MIT
Chroma MCP Serverofficial
AlicenseAqualityDmaintenanceA server that provides data retrieval capabilities powered by Chroma embedding database, enabling AI models to create collections over generated data and user inputs, and retrieve that data using vector search, full text search, and metadata filtering.Last updated13580Apache 2.0- AlicenseAqualityDmaintenanceSelf-hosted mem0 MCP server for Claude Code. Run a complete memory server against self-hosted Qdrant + Neo4j + Ollama while using Claude as the main LLM.Last updated1198MIT
- AlicenseAqualityDmaintenanceProvides semantic search capabilities by connecting Claude Desktop to a Cloudflare Workers backend powered by Vectorize. It enables natural language querying of knowledge bases using vector similarity and edge-based embedding generation.Last updated2MIT
- AlicenseAqualityAmaintenanceModel Context Protocol server for RosalindDB, enabling AI clients to create datasets, ingest vectors, run similarity queries, and check usage on a cost-optimized vector search database.Last updated1127Apache 2.0
- AlicenseAqualityCmaintenanceA Model Context Protocol server for Chroma, enabling AI models to create collections and retrieve data using vector search, full text search, and metadata filtering.Last updated13Apache 2.0