# Semantic Search

Rememberizer's MCP server provides the ability to interact with document and knowledge management APIs for large language models

An Obsidian plugin that provides local MCP server capabilities, enabling external applications to interact with the Obsidian library through standardized interfaces, including file operations, semantic search, etc.

An MCP server that provides file semantic search functionality, enabling intelligent retrieval of document contents through vector embedding

A knowledge base retrieval tool based on the MCP server, supporting semantic search and content management.

A Machine Control Protocol (MCP) server based on the Qdrant vector database for storing and retrieving text information, supporting semantic search and metadata storage.

The MCP server project of Space Frontiers provides a toolset for accessing its data sources through API interfaces.

A scalable OpenAPI endpoint discovery and API request tool that quickly locates API endpoints and executes requests through semantic search, especially suitable for handling large OpenAPI documents.

An MCP server implementation designed for the Claude desktop application, providing persistent memory functions for large language models, including a tiered memory architecture, multiple memory types, and semantic search features.

An MCP server that provides email processing functions, integrates MongoDB semantic search and SQLite for efficient storage, and supports Outlook email processing, vector embedding generation, and multi - email account management.

Pixeltable's multi-modal model context protocol server set provides indexing and querying functions for audio, video, images, and documents

An MCP server for expanding the context window/memory of AI agents, supporting storage, retrieval, and management of memories, including semantic search functionality.

The HubSpot MCP Server is middleware that connects an AI assistant to HubSpot CRM data, providing access to contact, company, and interaction data. It has vector storage and caching mechanisms to improve performance.

An MCP server implementation designed for the Claude desktop application, providing persistent memory functions, including a tiered memory architecture, multiple memory types, and semantic search features.

This project builds an AI system based on Nasdanika capabilities, focusing on operating on resource collections (interconnected models). It describes model elements and their relationships from multiple angles through the 'narrator' processor, and uses embeddings and vector storage to implement semantic search and RAG (Retrieval - Augmented Generation). It also supports the chat completion functions of OpenAI and Ollama.

A document semantic search service based on the Qdrant vector database, supporting URL and local file imports and providing natural language query functions.

The mem0 MCP Server is a middleware for project management, providing structured project memory storage, semantic search, and project information management functions, and supporting interaction with the MCP host application through the standard input - output protocol.

Hanzo MCP is an AI service platform based on the Model Context Protocol, providing capabilities for code analysis, modification, project management, and integration with multiple development tools.

A YouTube MCP server project that provides video search, subtitle extraction, and semantic search functions, and supports integration with AI clients.

An MCP server that provides semantic search and resource access for the Obsidian knowledge base

eShopLite is a lightweight .NET-based eCommerce platform that offers features such as semantic search, cloud platform integration, and intelligent inference models to help developers quickly build and scale online stores.

Cursor10x is an AI - powered development memory system that provides persistent context memory capabilities for the Cursor editor. It integrates four memory types: short - term, long - term, episodic, and semantic, to achieve intelligent code assistance.

The Jina AI MCP Server is a Model Context Protocol server that provides semantic search, image search, and cross-modal search functions, supporting seamless integration with Jina AI's neural search capabilities.

The Jina AI MCP server is a Model Context Protocol service that provides semantic search, image search, and cross-modal search functions, supporting seamless integration with Jina AI's neural search capabilities.

This is a PostgreSQL semantic search server based on the Model Context Protocol (MCP) standard. It enables AI assistants to understand the semantic structure of the database and execute natural language queries through vector embedding technology.

MCP Apple Notes is a service based on the Model Context Protocol that can perform semantic search and Retrieval Augmented Generation (RAG) on Apple Notes, enabling AI assistants like Claude to reference users' notes in conversations.

An MCP server that provides functions for YouTube video search, subtitle extraction, and semantic search

A document indexing system based on PostgreSQL and pgvector, supporting AI - driven semantic search, including functions for crawling, processing, and querying documents.

An MCP server for extending the context window/memory of AI agents, supporting the storage, retrieval, and management of memory content, including semantic search functionality.

MCP-Mem0 is a template implementation that provides long-term memory functions for AI agents, integrating the Model Context Protocol (MCP) server and Mem0, supporting memory storage, retrieval, and semantic search.

GraphRAG MCP is a hybrid retrieval system that combines the Neo4j graph database and the Qdrant vector database, providing document retrieval services that combine semantics and graph relationships for large language models.