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mcp-md-vector-search

A lightweight MCP server implementation that leverages PGLite and pgvector to perform efficient similarity searches on local Markdown documents using the Model Context Protocol (MCP).

mcp-qdrant-docs MCP Server

An MCP server that scrapes websites, indexes content into Qdrant, and provides a query tool.

MCP Pinecone Vector Database Server

GraphRAG MCP Server

This is a MCP server I built to interact with my hybrid graph rag db.

Aleph-10: Vector Memory MCP Server

Vector Memory MCP Server - An MCP server with vector-based memory storage capabilities

YouTube MCP: AI-Powered Solution for Enhanced YouTube Experience 🚀

YouTube MCP Server is an AI-powered solution designed to revolutionize your YouTube experience. It empowers users to search for YouTube videos, retrieve detailed transcripts, and perform semantic sear

YouTube MCP Server

YouTube MCP Server is an AI-powered solution designed to revolutionize your YouTube experience. It empowers users to search for YouTube videos, retrieve detailed transcripts, and perform semantic sear

LanceDB

Qdrant Retrieve MCP Server

MCP server for semantic search with Qdrant vector database

MCP Memory Server

MCP Memory Server with PostgreSQL and pgvector for long-term memory capabilities

Vectorize

Vectorize MCP server for advanced retrieval, Private Deep Research, Anything-to-Markdown file extraction and text chunking.

Mcp Server Ragdocs

An MCP server that provides tools for retrieving and processing documentation through vector search, both locally or hosted. Enabling AI assistants to augment their responses with relevant documentati

Coder DB - AI Memory Enhancement System

An intelligent code memory system that leverages vector embeddings, structured databases, and knowledge graphs to store, retrieve, and analyze code patterns with semantic search capabilities, quality

MCP Memory Server with Qdrant Persistence

MCP server providing a knowledge graph implementation with semantic search capabilities powered by Qdrant vector database

Chroma MCP Server

A Model Context Protocol (MCP) server implementation that provides vector database capabilities through Chroma.

TxtAI Assistant MCP

Model Context Protocol (MCP) server implementation for semantic vector search and memory management using TxtAI. This server provides a robust API for storing, retrieving, and managing text-based memo

RAG Documentation MCP Server

An MCP server implementation that provides tools for retrieving and processing documentation through vector search, enabling AI assistants to augment their responses with relevant documentation contex

mcp-turso-cloud

🗂️ A Model Context Protocol (MCP) server that provides integration with Turso databases for LLMs. This server implements a two-level authentication system to handle both organization-level and databas

MCP Server for Milvus

The Milvus MCP server enables AI applications to interact with Milvus vector databases using natural language commands. It allows AI models to perform vector searches, manage collections, and retrieve

sqlite-kg-vec-mcp

MCP Server that integrates a knowledge graph and a vector database based on SQLite

aws-ow-pgvector-mcp

AWS Aurora Postgres with Pgvector Extension MCP Server.

WisdomForge

A powerful knowledge management system that forges wisdom from experiences, insights, and best practices. Built with Qdrant vector database for efficient knowledge storage and retrieval.

OmniGen2

OmniGen2 是北京智源人工智能研究院推出的开源多模态生成模型。能根据文本提示生成高质量图像，支持指令引导的图像编辑，比如修改背景或人物特征等。OmniGen2 采用双组件架构，结合视觉语言模型（VLM）和扩散模型，实现对多种生成任务的统一处理。优势在于开源免费、高性能以及强大的上下文生成能力，适用于商业、创意设计和研究开发等场景。 OmniGen2的项目地址 项目官网：https:/