A
license-
qualityB
maintenanceEnables natural language search and analysis of uploaded PDF, CSV, and Excel documents using retrieval-augmented generation and MCP tools, providing contextual answers to user queries.
MIT
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"Debugging software using GDB (GNU Debugger)" matching MCP servers:
- AlicenseAqualityDmaintenanceProvides persistent memory for AI agents using hybrid search (vector embeddings + BM25) with neural reranking, enabling storage and retrieval of insights, debugging solutions, and patterns across coding sessions.8MIT
@manasdb/mcp-serverofficial
Alicense-qualityDmaintenanceProvides a plug-and-play persistent memory layer for MCP-compatible AI assistants, enabling them to store, retrieve, and delete memories across multiple databases simultaneously using semantic vector search.15MIT
tigergraph-mcpofficial
Alicense-qualityBmaintenanceModel Context Protocol (MCP) server for TigerGraph that lets AI agents interact with TigerGraph through the MCP standard using pyTigerGraph's async APIs.3Apache 2.0- Alicense-qualityAmaintenanceMCP server for compressing AI embeddings by 5-7x using TurboQuant (PolarQuant + QJL), with tools to compress, decompress, estimate savings, and embed+compress vectors.MIT
- Alicense-qualityCmaintenanceMCP Memory is a MCP Server that gives clients like Cursor and Claude the ability to remember user preferences and behaviors across conversations using vector search.15MIT
- Alicense-quality-maintenanceA Python server that enables retrieval-augmented generation through semantic, question/answer, and style search modalities using PostgreSQL and pgvector for embedding storage and retrieval.2Apache 2.0
- Alicense-qualityDmaintenanceAn MCP server that gives AI assistants the ability to remember user information (preferences, behaviors) across conversations using vector search technology.15MIT
- Alicense-qualityCmaintenanceA server component of the Model Context Protocol that provides intelligent analysis of codebases using vector search and machine learning to understand code patterns, architectural decisions, and documentation.12MIT
- Alicense-qualityCmaintenanceRAGX MCP Server enables retrieval-augmented generation with document ingestion, hybrid search, and agentic answering using Claude, exposing tools for querying, searching, and managing documents.2MIT
- Alicense-qualityDmaintenanceA local vector database system that provides LLM coding agents with fast, efficient semantic search capabilities for software projects via the Message Control Protocol.7MIT
- Alicense-qualityFmaintenanceA local-first MCP server for indexing and searching codebases using PostgreSQL and Ollama embeddings, ensuring complete privacy and zero API costs.16MIT
- Alicense-qualityDmaintenanceAn MCP server for RAG using Qdrant that automatically indexes documents from directories and generates search tools for each collection.MIT
- Flicense-qualityDmaintenanceEnables semantic code search across multi-language codebases using natural language queries, integrated with Qdrant vector database for fast, cached retrieval.1
- Alicense-qualityCmaintenanceEnables MCP clients to remember user preferences and behaviors across conversations using vector search technology.15MIT
- 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.161MIT
- Alicense-qualityCmaintenanceProvides AI agents with persistent, searchable memory using semantic search, auto-linking, and categorization, with zero-config local setup or production-ready external providers.21MIT
- Alicense-qualityDmaintenanceEnables indexing and semantic search of software project files via MCP, with automatic file watching for updates.MIT
- 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.MIT
- 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.MIT
