#semantic

MCP Server for querying DBT Semantic Layer

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MCP Server for Interacting with Cube Semantic Layers

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MCPSharp is a .NET library that helps you build Model Context Protocol (MCP) servers and clients - the standardized API protocol used by AI assistants and models.

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🔍 A Model Context Protocol (MCP) server that provides semantic search capabilities for GitHub repository issues using FAISS and OpenAI embeddings. Perfect for developers who want to quickly find relevant issues, bug reports, and discussions across GitHub repositories using natural language queries.

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MCP server for semantic search with Qdrant vector database

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 searches over video content—all without relying on the official API. By integrating with a vector database, this server streamlines content discovery.

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A MCP server that enables Claude to discover and call any API endpoint through semantic search. Intelligently chunks OpenAPI specifications to handle large API documentation, with built-in request execution capabilities. Perfect for integrating private APIs with Claude Desktop.

A FastMCP server implementation for the Semantic Scholar API, providing comprehensive access to academic paper data, author information, and citation networks.

A PostgreSQL MCP server with semantic search capabilities for AI chatbots

Showing a super simple implementation of an c# MCP server hosted with Aspire and consumed by Semantic Kernel

🤖 The Semantic Engine for Model Context Protocol(MCP) Clients and AI Agents 🔥

Branch-Thinking MCP Tool A TypeScript-powered MCP server for managing parallel branches of thought, semantic cross-references, and persistent tasks. Features dynamic scoring, AI-generated insights, batch operations, and visual graph navigation for advanced agentic workflows.

Semantic Kernel with MCP server/client sample using SSE transport protocal

Integrate Model Context Protocol (MCP) tools with Microsoft Semantic Kernel to build AI-driven workflows. This C# project connects MCP servers to Semantic Kernel, enabling LLMs to call external tools seamlessly. Features example code for developers exploring AI orchestration with .NET.

The semantic layer for software engineering: Connect code to meaning, build on understanding

Intugle’s GenAI-powered open-source Python library builds a semantic data model over your existing data systems. At its core, it discovers meaningful links and relationships across data assets — enriching them with profiles, classifications, and business glossaries. With this connected knowledge layer, you can enable semantic search and auto-generate queries to create unified data products, making data integration and exploration faster, more accurate, and far less manual.

Self-hosted MCP Japanese text indexing & search—chunking+embeddings with BM25×vector rerank

Kollektiv enables anyone to setup 'RAG over your data' in 2 clicks to get access and semantic search directly from any IDEs / MCP clients. No RAG infra, no config to manage. Users can build their private knowledgebases. It's one of the first MCP servers in the world to support Oauth 2.1 for user authentication.

Building Semantic Kernel Agents with Model Context Protocol (MCP) Plugins in Python

A Model Context Protocol (MCP) server that enables AI assistants to interact with HubSpot CRM data, providing built-in vector storage and caching mechanisms help overcome HubSpot API limitations while improving response times.

Persistent codebase intelligence that gives agents memory across sessions.

Gres is a minimalist AI command server for agents and developers. Snap pages, grab sites, source docs, and ask anything. One interface, zero fluff.

Enterprise-ready vector database toolkit for building searchable knowledge bases from multiple data sources. Supports multi-project management, automatic ingestion from Confluence/JIRA/Git, intelligent file conversion (PDF/Office/images), and semantic search. Includes MCP server for seamless AI assistant integration in development environments.

🦀 Prevents outdated Rust code suggestions from AI assistants. This MCP server fetches current crate docs, uses embeddings/LLMs, and provides accurate context via a tool call.

Using Azure OpenAI perform series of tasks using mcp server

MCP server providing semantic memory and persistent storage capabilities for Claude using ChromaDB and sentence transformers.

Memorious-MCP is a minimal Model Context Protocol (MCP) server that provides a persistent key-value memory store with vector-similarity lookup using ChromaDB.

Let AI agents like ChatGPT & Claude use real-world local/remote tools you approve via browser extension + optional MCP server

An MCP Server that's also an MCP Client. Useful for letting Claude develop and test MCPs without needing to reset the application.

A lightweight MCP server that lets AI assistants query the arXiv API. It provides two powerful search approaches: - **Semantic Search**: Uses vector embeddings to understand the meaning of your query, powered by [ArxivSearch](https://hub.arxiv-search.cn) > **Note**: Currently, semantic search only supports papers in Computer Science (cs.*) categories - **Keyword Search**: Supports structured queries with multiple filters including categories, date ranges, and field-specific searches > Note: Supports papers from all arXiv categories

MCP server for OWL applications

Transform your AI agents into Apple development experts! Apple RAG MCP gives you instant access to official Swift docs, design guidelines, and comprehensive Apple platform knowledge through cutting-edge RAG technology. With professional AI reranking and hybrid search across iOS, macOS, watchOS, tvOS, and visionOS documentation plus Apple Developer YouTube content, you'll get precise, contextual answers every time. Compatible with Cursor, Claude Desktop, and all MCP tools - start building smarter Apple apps today!

An official Qdrant Model Context Protocol (MCP) server implementation

Persistent memory for AI coding assistants. Works across Cursor, Claude, Windsurf, VS Code and any MCP client. Remember decisions, search semantically, analyze code dependencies — 60+ tools. Your AI's permanent brain.

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 searches over video content—all without relying on the official API. By integrating with a vector database, this server streamlines content discovery.

eShopLite is a set of reference .NET applications implementing an eCommerce site with features like Semantic Search, MCP, Reasoning models and more.

MCP server for OWL applications

An open-source Text2SQL tool that transforms natural language into SQL using graph-powered schema understanding. Ask your database questions in plain English, QueryWeaver handles the weaving.

High-performance XML file comparison with semantic analysis capabilities. Features StAX streaming parser for memory-efficient processing of large XML files (60MB+ tested), order-agnostic semantic comparison, and multiple output formats (text, JSON, Excel). Includes 5 MCP tools for comprehensive XML analysis and comparison.

A MCP (Model Context Protocol) server providing long-term memory for LLMs

100% Rust implementation of code graphRAG with blazing fast AST+FastML parsing, surrealDB backend and advanced agentic code analysis tools through MCP for efficient code agent context management