F
license-
qualityC
maintenanceMCP server for semantic search over PDF documents using RAG, pgvector, and OpenAI embeddings. Includes a web app for document upload and management.
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"Fetching a URL in programming or web development" matching MCP servers:
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- FlicenseAqualityBmaintenanceAn MCP server that retrieves resume/experience evidence relevant to a job description via vector RAG, and tracks fit-analysis results in a configurable tracking store (Notion or SQLite), with tools like match_job, push_to_tracker, and list_applications.3
- FlicenseAqualityDmaintenanceAn MCP server for semantic search and retrieval of indexed Slack messages stored in Qdrant using Cohere reranking via AWS Bedrock. It enables users to search through Slack history, retrieve full message threads, and access channel or user statistics through natural language.5
- FlicenseAqualityDmaintenanceIntegrates R2R (Retrieval-Augmented Generation) with Claude Desktop, enabling semantic search across knowledge bases and RAG-based question answering with support for vector, graph, web, and document search.2
- AlicenseAqualityBmaintenanceMCP server for SEC EDGAR filing intelligence, providing tools for fetching, chunking/embedding, retrieval, and evaluation of filings.1MIT
- AlicenseAqualityCmaintenanceA server that enables vector and keyword search capabilities in Typesense databases through the Model Context Protocol, providing tools for collection management, document operations, and search functionality.1410MIT
Redis MCP Serverofficial
AlicenseBqualityBmaintenanceThe official Redis MCP Server is a natural language interface designed for agentic applications to efficiently manage and search data in Redis.53563MIT- AlicenseBqualityCmaintenanceA memory server for Claude that stores and retrieves knowledge graph data in DuckDB, enhancing performance and query capabilities for conversations with persistent user information.8659MIT
- AlicenseBqualityBmaintenanceA flexible memory system for AI applications that supports multiple LLM providers and can be used either as an MCP server or as a direct library integration, enabling autonomous memory management without explicit commands.389100MIT
- FlicenseBqualityDmaintenanceEnhances large language models with competitive programming knowledge by leveraging OI-Wiki content through vector search, allowing models to retrieve relevant algorithms and techniques.124
- AlicenseBqualityDmaintenanceEnables fetching relevant content and embeddings from Supavec via the Model Context Protocol, allowing AI assistants like Claude to access vector search capabilities.294MIT
- Alicense-qualityAmaintenanceA high-performance MCP server for semantic search and codebase indexing using the Qdrant vector database. It features optimized embedding pipelines, AST-aware chunking, and git metadata enrichment for fast, privacy-focused local or remote search.68511MIT
- Alicense-qualityCmaintenanceHelps developers tackle legacy codebases by giving AI coding assistants context through Qdrant vector store and Agentic RAG with Ollama or DeepSeek.11513MIT
- Alicense-quality-maintenanceProvides semantic search capabilities over the Plesk Extensions Guide documentation using Retrieval-Augmented Generation (RAG) and vector embeddings. It enables AI assistants to retrieve relevant technical information and answer natural language queries regarding Plesk extension development.
- Alicense-qualityDmaintenanceProvides advanced document search and processing capabilities through vector stores, including PDF processing, semantic search, web search integration, and file operations. Enables users to create searchable document collections and retrieve relevant information using natural language queries.MIT
- Alicense-qualityBmaintenanceA focused local-paper RAG MCP server that imports PDFs, indexes them into SQLite and ChromaDB, and retrieves section-aware paper chunks for use with Claude Code, Codex, or any MCP client.MIT
- Alicense-qualityBmaintenanceEnables AI development tools to perform semantic search and document relationship analysis on vectorized content stored in Qdrant databases.48Apache 2.0