A
license-
qualityC
maintenanceA project search MCP server based on Milvus vector database, supporting semantic search, hybrid search, and exact scalar queries.
Last updated
MIT
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"How to obtain a diff from a GitLab repository" matching MCP servers:
- 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
mcp-server-qdrantofficial
AlicenseBqualityDmaintenanceThis repository is an example of how to create a MCP server for Qdrant, a vector search engine.Last updated21,477Apache 2.0- AlicenseAqualityAmaintenanceA multi-agent Retrieval-Augmented Generation system exposed as an MCP server. Ask a question and a LangGraph pipeline plans the retrieval, pulls evidence from a pgvector knowledge base, optionally augments it with live web research, drafts a cited answer, and then self-critiques it for grounding — revising until the answer is supported by the sources.Last updated31MIT
Tribalofficial
FlicenseAqualityBmaintenanceSemantic memory for AI builders: capture the tacit engineering know-how that never reaches your docs, recall it the moment it applies. Built in Rust on Postgres and pgvector.Last updated108- FlicenseAqualityBmaintenanceAn MCP server that provides queryable access to Anti-Money Laundering (AML) red flag knowledge from regulatory documents. It enables compliance officers to ask natural-language questions and receive relevant, sourced red flags from a local vector database.Last updated7
- AlicenseAqualityAmaintenanceA personal memory MCP server that ingests AI agent conversation logs from multiple platforms into a searchable PostgreSQL+pgvector database, enabling cross-session recall of past reasoning and decisions.Last updated6MIT
- FlicenseAquality-maintenanceEnables AI agents to autonomously create and manage topic-specific vector knowledge bases with end-to-end functionality including project creation, content ingestion from URLs, semantic search, and progress tracking. Provides a complete research workflow without exposing low-level APIs.Last updated893
@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.Last updated6MIT
MCP MariaDB Serverofficial
Alicense-qualityFmaintenanceAn interface for managing and querying MariaDB databases that supports standard SQL operations alongside advanced vector and embedding-based search capabilities. It enables AI assistants to seamlessly integrate relational and vector data workflows through a standardized protocol.Last updated180MIT- Alicense-qualityDmaintenanceA Machine Control Protocol (MCP) server that enables storing and retrieving information from a Qdrant vector database with semantic search capabilities.Last updatedApache 2.0
- Alicense-qualityDmaintenanceA Model Context Protocol server that enables intelligent document search and retrieval from PDF collections, providing semantic search capabilities powered by OpenAI embeddings and ChromaDB vector storage.Last updated12MIT
- Alicense-qualityDmaintenanceA local-first personal RAG memory system that turns AI conversation history into a searchable, retrievable knowledge base via MCP, enabling LLMs to semantically search past conversations.Last updated8AGPL 3.0
- Alicense-qualityDmaintenanceA 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.Last updated12MIT
- Alicense-qualityBmaintenanceA minimal RAG service that exposes a vector index for document retrieval via REST and MCP, allowing querying for relevant document chunks and returning a suggested LLM prompt.Last updatedMIT
- Alicense-qualityDmaintenanceEnables querying a hybrid system that combines Neo4j graph database and Qdrant vector database for powerful semantic and graph-based document retrieval through the Model Context Protocol.Last updated62MIT
- Alicense-qualityDmaintenanceAn MCP server that enables AI assistants to directly interact with Elasticsearch for searching, aggregating, and retrieving documents from indices, supporting full-text search, semantic search, and various query modes.Last updated7MIT
- Alicense-qualityCmaintenanceUpload documents (Word, Excel, PDF, PowerPoint) to a vector RAG store and perform semantic search with page-level citations. Queries are free; ingestion costs credits at break-even pricing.Last updatedMIT
- Alicense-qualityBmaintenanceConnects to a PostgreSQL database (pgvector) to perform semantic retrieval via the search_documents tool, returning raw document snippets for LLM synthesis.Last updated1GPL 3.0
- Alicense-qualityDmaintenanceA local RAG MCP server that enables AI tools like Claude to search indexed codebases and documentation using vector search with Ollama models.Last updatedApache 2.0