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    Enables AI assistants to search and read the full Ray Peat corpus and WikiPeatia wiki, including articles, books, interviews, newsletters, and forum posts, with full-text, semantic, and LLM-powered Q&A tools, plus access to Ray Peat's original articles.
    32
    MIT
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    quality
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    MCP server for analyzing OpenTelemetry traces with performance and error diagnosis, supporting loading from files, AWS X-Ray, and CloudWatch.
    8
    MIT
  • F
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    Exposes NVIDIA Sionna RT ray-tracing as 15 structured tools for AI agents, enabling wireless channel simulation (scene loading, antenna array setup, ray tracing, CSI extraction) through MCP.
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  • F
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    Prototype of a Model Context Protocol (MCP) server that provides access to X-ray properties of elements via the XrayDB library.
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  • F
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    Exposes global market breadth, volume, RSI, volatility, and sentiment for 12 major equity indices (US + Asia) via 5 tools.
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  • A
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    Local RAG system for Claude Code with hybrid search (semantic + BM25), cross-encoder reranking, markdown-aware chunking, and 12 MCP tools. Zero external servers, pure ONNX in-process.
    13
    438 PyPI
    296
    MIT
  • A
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    quality
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    MCP server for business-day arithmetic with country-aware holiday calendars. It offers tools to check, calculate, and list business days and holidays for over 60 countries.
    9
    MIT
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    Exposes hybrid retrieval (dense embeddings + BM25 + RRF) and document operations (search, fetch, rerank) as MCP tools, using Qdrant and OpenAI embeddings for local or server mode.
    3
    MIT
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    MCP server that integrates with LM Studio to provide a search_notes tool, allowing the chat model to retrieve and answer from a local Obsidian vault.
    1
    1
    MIT
  • A
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    A multi-agent Retrieval-Augmented Generation system exposed as an MCP server. Ask a question and a LangGraph pipeline plans the retrieval, pulls evidence from a pgvector knowledge base, optionally augments it with live web research, drafts a cited answer, and then self-critiques it for grounding — revising until the answer is supported by the sources.
    3
    1
    MIT
  • A
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    A local MCP server that enables LLMs to securely search and read files within designated Google Drive folders. Supports Google Docs, Google Sheets, PDFs, and plain text with strict folder-scoping via service account authentication.
    4
    MIT
  • A
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    MCP server that integrates Apache Ranger authorization with RAG, enforcing Ranger policies to control access to knowledge bases before forwarding queries to RAG Studio.
    4
    Apache 2.0
  • A
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    A
    quality
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    maintenance
    Enables AI assistants to understand and navigate codebases through structural analysis. Provides code mapping, symbol search, and impact analysis using ast-grep for accurate parsing of Python, JavaScript, TypeScript, and Go projects.
    4
    53
    MIT
  • F
    license
    A
    quality
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    maintenance
    Enables indexing local documents (PDF, Markdown, text, code) into a knowledge base and querying them via semantic search using local embeddings, all running privately on your machine.
    4
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  • A
    license
    A
    quality
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    maintenance
    Enables users to search and access digital collections from the Swedish National Archives (Riksarkivet) through multiple APIs. Supports searching records by keywords, exploring collections, and downloading historical images and documents.
    2
    27
    Apache 2.0
  • A
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    MCP server that enables AI agents to search the entire TouchDesigner wiki documentation with real citations, using a local index built from the official wiki.
    3
    7
    MIT
  • A
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    Enables local-first hybrid knowledge retrieval from authorized Markdown and plain-text files, combining full-text and vector search with reranking and traceable source references via a single search tool.
    1
    MIT
  • F
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    A stateless MCP server that normalizes strength training logs into a deterministic canonical schema, enabling consumers to build analytics downstream without storing data server-side.
    3
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  • F
    license
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    quality
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    maintenance
    Gives an LLM client BM25 keyword search over a local corpus of Markdown and text files, letting it find ranked passages, fetch exact chunks with source offsets, read whole documents, and list what was indexed. It runs entirely locally over stdio with an in-memory index, calling no model and requiring no API key.
    4
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