A
licenseC
qualityB
maintenanceIntegrates AI assistants with the Unity Editor for scene manipulation, asset management, and testing, plus Unity documentation search via RAG.
84
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MIT
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"Setting up a server for Unity development work" matching MCP servers:
- Alicense-qualityCmaintenanceAn MCP Server that provides Retrieval-Augmented Generation (RAG) capabilities to surface the latest Unity API documentation (currently v6.x).1MIT
- Alicense-qualityBmaintenanceA local-first MCP server that lets AI assistants search and retrieve context from indexed projects, Git state, decisions, and tasks without sending data to the cloud.MIT
- Alicense-qualityCmaintenanceA proof of concept MCP server for Apache OFBiz7Apache 2.0
- Flicense-qualityBmaintenanceEnables any MCP-compatible AI assistant to search, filter, and retrieve information from a local document collection using a hybrid search pipeline with vector, BM25, reranking, and LLM enrichment.4
- Flicense-qualityDmaintenanceProvides an intelligent, graph-based memory system for LLM agents using the Zettelkasten principle, enabling automatic note construction, semantic linking, memory evolution, and autonomous graph maintenance with background optimization processes.10
- AlicenseAqualityAmaintenanceAn Operit-compatible adapter of the Exa MCP server, enabling web search, code search, and company research capabilities in AI assistants. It fixes MCP handshake compatibility issues, allowing tools like web_search_exa and web_fetch_exa to load and run reliably.227,145MIT
- AlicenseBqualityAmaintenanceMCP for Azure DevOps Boards is a MCP server that lets your favourite AI browse, query and update Azure DevOps work items as if it were a project manager. Written in Rust and optimized for tokens usagem, It runs via stdio or HTTP mode and uses standard Azure authentication with az login.246MIT
- Alicense-qualityAmaintenanceProduction-ready MCP server providing RAG, hierarchical memory, and 8+ tools for AI agents via the Model Context Protocol.41Apache 2.0
- Alicense-qualityCmaintenanceEnables asking questions and performing semantic searches against an Inkeep knowledge base. Deployable to Vercel with Next.js.1MIT
- Alicense-qualityDmaintenanceTurns any static website into an MCP-searchable knowledge base by deploying a Cloudflare Worker that provides full-text search tools, enabling AI assistants to search and retrieve content from your site.1MIT
- Flicense-qualityCmaintenanceEnables users to ingest PDF/DOCX/TXT/MD documents and ask natural language questions about them, using local embeddings and Groq-powered retrieval-augmented generation.
- AlicenseAqualityAmaintenanceA TypeScript-based server to interact with ArangoDB using the Model Context Protocol, enabling database operations and integration with tools like Claude and VSCode extensions for streamlined data management.73947MIT
- AlicenseBqualityBmaintenanceA lightweight, dependency-free MCP server that answers cited queries over a Tero corpus index.json via stdio JSON-RPC 2.0, with honest refusal semantics and no silent empty results.9MIT
- FlicenseCqualityCmaintenanceA Python server implementing the Model Context Protocol to provide customizable prompt templates, resources, and tools that enhance LLM interactions in the continue.dev environment.19
- Alicense-qualityBmaintenanceEnables querying PDF documents using natural language with grounded answers and source citations via a local RAG pipeline.MIT
- Alicense-qualityDmaintenanceA Model Context Protocol server that connects AI agents to Apache Jena, enabling them to execute SPARQL queries and updates against RDF data stored in Jena Fuseki.8MIT
- Alicense-qualityAmaintenanceNatural Language Analytics MCP server for Apache Druid. With this enterprise ready server in Java, one can query Apache Druid by natural language queries. Furthermore, the complete management like data loading of the Time Series Database Druid can be done with natural language commands.16Apache 2.0
- Alicense-qualityDmaintenanceA Python-based MCP server that enables document-based question answering by processing PDF, TXT, and Markdown files through OpenAI's API. It provides hallucination-free responses based strictly on document content using semantic search and includes a web interface for management.MIT
- Alicense-qualityDmaintenanceEnables document-based question answering using OpenAI's GPT-4 with semantic search and embeddings. Upload PDF, TXT, or Markdown files and get answers strictly based on document content with source attribution and confidence scores.MIT