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"Kotlin RAG (Retrieval-Augmented Generation) implementation resources" matching MCP servers:

  • A
    license
    Not graded
    quality
    C
    maintenance
    A privacy-preserving local RAG system integrated with MCP, enabling natural language queries over ingested documents and a SQLite database through vector search and local database tools.
    MIT
  • A
    license
    Not graded
    quality
    B
    maintenance
    Connects to a PostgreSQL database (pgvector) to perform semantic retrieval via the search_documents tool, returning raw document snippets for LLM synthesis.
    1
    GPL 3.0
  • A
    license
    Not graded
    quality
    B
    maintenance
    Read-only MCP server that exposes ZAP's RAG search modes (plain, hybrid, hybrid_rerank) for agents to perform semantic code retrieval.
    Apache 2.0
  • A
    license
    Not graded
    quality
    B
    maintenance
    Agentic RAG Knowledge Assistant is a secure, tenant-isolated MCP server built with FastAPI, PostgreSQL, and pgvector that enables document ingestion, semantic retrieval, and vector search over PDF, DOCX, and text files through authenticated MCP tools.
    MIT
  • F
    license
    Not graded
    quality
    C
    maintenance
    Enables RAG (Retrieval-Augmented Generation) with tools for vector search, document access, and OpenAI integration, plus MySQL storage and file system operations via MCP.
  • F
    license
    Not graded
    quality
    D
    maintenance
    Enables semantic search and retrieval of code files using embeddings stored in PostgreSQL. Supports intelligent codebase exploration through natural language queries, file listing, and content retrieval.
    16
  • F
    license
    Not graded
    quality
    C
    maintenance
    A private MCP server that converts natural-language questions into embeddings and performs semantic retrieval over document chunks stored in BigQuery, returning structured passages with source and page metadata. It serves as the read-only retrieval layer for a document-grounded chatbot.
  • A
    license
    Not graded
    quality
    B
    maintenance
    Enables natural language queries to a company database through the Model Context Protocol, with read-only enforcement and agentic error recovery.
    MIT
  • A
    license
    Not graded
    quality
    D
    maintenance
    A powerful AI service platform that provides complete MCP tool calling capabilities and RAG knowledge base functionality, enabling users to connect to multiple MCP servers and perform intelligent document search.
    Apache 2.0
  • A
    license
    Not graded
    quality
    C
    maintenance
    MCP server platform enabling agents to self-register and access geo MCP tools (read-only geo_entities) plus hello ping services via a public MCP endpoint.
    MIT
  • F
    license
    Not graded
    quality
    B
    maintenance
    Enables querying a Neo4j knowledge graph about Wroclaw University of Science and Technology using natural language. Converts user questions into Cypher queries and retrieves contextual information through an intelligent RAG pipeline with LLM-powered query routing.
    5
  • F
    license
    Not graded
    quality
    D
    maintenance
    Enables AI copilots to understand and query Salesforce org configurations through intelligent metadata chunking and semantic search. Provides access to Apex classes, custom objects, flows, layouts, and other metadata with hybrid vector and keyword search capabilities.
  • A
    license
    A
    quality
    B
    maintenance
    MCP server for managing and retrieving reusable SQL templates with semantic search, enabling a workflow of generation, retrieval, and templating.
    8
    MIT
  • A
    license
    Not graded
    quality
    D
    maintenance
    A comprehensive Model Context Protocol server implementation that enables AI assistants to interact with file systems, databases, GitHub repositories, web resources, and system tools while maintaining security and control.
    49
    2
    MIT
  • A
    license
    Not graded
    quality
    D
    maintenance
    Integrates Snowflake Cortex AI features like Cortex Search and Analyst into the MCP ecosystem, enabling retrieval-augmented generation and structured data analysis. It also provides tools for chat completions and agentic orchestration using Snowflake-hosted large language models.
    Apache 2.0