8 skills found
JetBrains / koogKoog is a JVM (Java and Kotlin) framework for building predictable, fault-tolerant and enterprise-ready AI agents across all platforms – from backend services to Android and iOS, JVM, and even in-browser environments. Koog is based on our AI products expertise and provides proven solutions for complex LLM and AI problems
qdrant / mcp-server-qdrantAn official Qdrant Model Context Protocol (MCP) server implementation
Azure-Samples / mcp-agent-langchainjsServerless AI agent using LangChain.js and Model Context Protocol (MCP) integration to order burgers from a burger restaurant
bilelmoussaoui / gnome-mcp-serverGrant the AI octopus access to a portion of your desktop
martin-papy / qdrant-loaderEnterprise-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.
rockywuest / qdrant-mcp-pi5Persistent semantic memory for AI agents on Raspberry Pi 5 — local Qdrant + MCP, no cloud, ~3s per query
cardea-mcp / agentic-searchA Model Context Protocol (MCP) server that provides agentic search capabilities with support for vector search using Qdrant, full-text search using TiDB, or both combined.
Knuckles-Team / vector-mcpVector MCP Server for AI Agents - Supports ChromaDB, Couchbase, MongoDB, Qdrant, and PGVector
