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  • F
    license
    A
    quality
    C
    maintenance
    Provides local, deterministic Chinese and Western divination chart calculations with traceable, evidence-grounded interpretation through MCP tools.
    9
    -
  • A
    license
    Not graded
    quality
    D
    maintenance
    A persistent long-term memory system that enables AI clients to store and recall notes, code, and research via semantic search. It utilizes Google Gemini embeddings and Supabase pgvector to provide a secure, searchable 'Second Brain' for MCP-compatible applications.
    4 npm
    MIT
  • A
    license
    Not graded
    quality
    B
    maintenance
    Builds a local-first digital twin of your microservice ecosystem, enabling natural-language questions about project code, architecture, incidents, and more via hybrid search and a knowledge graph.
    Apache 2.0
  • F
    license
    Not graded
    quality
    D
    maintenance
    Enables users to search and interact with Binal's professional knowledge base through Claude Desktop using RAG technology. Users can ask natural language questions about Binal's technical skills, education, projects, and experience.
    -
  • F
    license
    Not graded
    quality
    C
    maintenance
    MCP server exposing a medical knowledge graph (289 Western drugs, 204 TCM drugs, diseases, symptoms) as MCP tools. Enables AI agents to search drugs, check drug compatibility, and query symptoms-to-medication recommendations locally.
    -
  • A
    license
    A
    quality
    A
    maintenance
    Provides access to 61 public digital libraries through a single unified interface, enabling users to search and retrieve information from academic papers, books, legal records, and more using natural language.
    4
    11
    312 npm
    2
    MIT
  • A
    license
    A
    quality
    C
    maintenance
    An MCP server that provides AI agents free access to NVIDIA's hosted AI models (100+ models) with automatic model routing for tasks like reasoning, coding, vision, embeddings, and translation.
    10
    2
    MIT
  • F
    license
    B
    quality
    D
    maintenance
    A nested MCP system that demonstrates server composition by using an orchestrator to manage an internal vector store for semantic search. It enables complex, multi-hop retrieval and reasoning over a knowledge base through an agentic reasoning loop.
    1
    -
  • A
    license
    Not graded
    quality
    B
    maintenance
    Enables local knowledge base management with retrieval-augmented generation (RAG), providing semantic search, document reading, listing, and Q&A via MCP tools and REST endpoints, all running locally without cloud dependencies.
    MIT
  • A
    license
    Not graded
    quality
    A
    maintenance
    Personal digital memory: a desktop app that indexes your mail, chats, and documents into a local SQLite corpus on your machine — parsing and OCR run on-device via llama.cpp — and serves them to any MCP client. Local server on 127.0.0.1, plus an optional per-user remote endpoint (you.localkiagent.com) whose TLS terminates on your own device.
    7
    MIT
  • A
    license
    Not graded
    quality
    D
    maintenance
    A demonstration server for the Model Context Protocol (MCP) that exposes calculator and Yahoo Finance tools, allowing LLMs to interpret natural language requests and make tool calls via the MCP standard.
    1
    Apache 2.0
  • F
    license
    Not graded
    quality
    B
    maintenance
    MCP server that turns any scanned or digital PDF into a private knowledge expert, letting you ask questions and get cited answers with page-level sources. Provides tools for semantic search, page retrieval, torque spec lookup, and section navigation.
    -
  • F
    license
    Not graded
    quality
    C
    maintenance
    A self-hostable, MCP-native RAG pipeline that ingests, indexes, and serves data, enabling AI agents to scan codebases for prioritized findings and integrate with CI workflows.
    -
  • F
    license
    Not graded
    quality
    C
    maintenance
    Exposes read-only knowledge base articles on returns, warranty and shipping policies alongside tools that search, retrieve and create real support tickets. This lets an LLM agent ground its answers in store policy without inventing information, and act on actual ticket data rather than simulated records.
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