# Semantic Search

Memento is a knowledge graph memory system based on SQLite, providing persistent memory functions, supporting full - text retrieval and semantic search, and realizing intelligent context retrieval through BGE - M3 embedding. It is suitable for technical and creative project management.

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.

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.

An MCP server that provides email processing capabilities, integrating MongoDB semantic search and SQLite efficient storage

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

An MCP service for document retrieval based on vector search, providing relevant document context for AI assistants to enhance their answering ability

A UK parliamentary data service project based on FastMCP, providing query and semantic search functions for data such as parliamentary members, constituencies, election results, government positions, parliamentary Q&A, and debate records, supporting access through MCP clients such as Claude.

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.

The Mem0 MCP server is a model context protocol service that provides persistent memory capabilities for LLMs. It supports both cloud and local storage modes, enabling cross - session information storage and retrieval.

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.

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

An MCP memory server based on the Qdrant vector database, providing knowledge graph and semantic search capabilities.

The Pippa MCP Memory Manager is an AI memory system designed for Cursor IDE, which implements cross - session persistent memory functions based on the MCP protocol.

A lightweight MCP server project for loading local PDF files, extracting and chunking content, building semantic search indexes, and sending relevant paragraphs to Claude Desktop for document-based Q&A.

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.

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

The OpenRouter Agents MCP Server is a research agent server based on the Model Context Protocol (MCP). It uses Claude 3.7 Sonnet as the planning agent to coordinate multiple OpenRouter models to decompose and execute complex research tasks, providing efficient and reliable AI research services.

An MCP server project based on the mcp-framework, aiming to enhance the semantic search capabilities of Claude Desktop, including user guides, developer documentation, and tool extension support.

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.

This project provides a set of tools for crawling website content and generating Markdown documents. It also implements semantic search for documents through the MCP server and supports integration with tools such as Cursor.

A scalable OpenAPI endpoint discovery and API request tool that quickly finds relevant API endpoints through semantic search and executes requests.

An MCP server that enhances the functionality of the Qdrant vector database, providing functions such as collection management, document addition, and semantic search.

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

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.

An MCP service for semantic search and memory management based on txtai, providing context memory capabilities for AI assistants

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.

A local code indexing and semantic search tool

A semantic search service for retrieving MCP servers

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