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    A CLI chat application that enables interactive AI conversations with document retrieval and command-based prompts through the Google Gemini API, integrating MCP tooling for extensible server interactions.
    2
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    Enables local analysis of scientific papers including PDF parsing, mathematical formula extraction with AST generation, PyTorch code generation from methodology, and automated Markdown report generation with visualizations.
    15
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    An MCP server that provides AI assistants with real-time access to Inductive Automation Ignition documentation, enabling accurate answers on Ignition-specific topics by searching live docs and fetching full pages.
    3
    MIT
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    MCP server that gives AI assistants direct access to live AVEVA PI System documentation, eliminating hallucination on PI-specific topics by fetching real answers from the official docs.
    3
    MIT
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    Provides offline search and retrieval of Magento 2 GraphQL API documentation with 8 specialized tools for finding queries, mutations, types, tutorials, and code examples across 350+ locally indexed markdown files.
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    Assists organizations and developers with LGPD compliance by providing tools for legal basis validation, consent management, document templates, and data subject rights. Includes resources on ANPD, glossary, and legal foundations.
    9
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    1
    MIT
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    Provides AI assistants with accurate Flyte V2 knowledge, patterns, and plugin information to help developers write correct Flyte code. It enables tasks like learning the V2 API, finding examples, selecting plugins, and migrating V1 code to V2.
    17
    Apache 2.0
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    MCP server for searching and querying Aalto SciComp documentation (Triton HPC guides). Provides tools for finding pages, reading docs, and searching content, usable by any MCP client without an LLM API key.
    Apache 2.0
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    A 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
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    Creates and searches private, local RAG libraries from documentation to ground AI assistants in authoritative sources, reducing hallucinations by providing current, accurate context from your own docs instead of relying on outdated training data.
    20
    MIT
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    An MCP server that indexes WordPress hooks, filters, block registrations, and JS API calls to provide AI assistants with a verified source-code database. It enables models to search, validate, and retrieve code context for WordPress and its plugins to eliminate hook-name hallucinations.
    23
    71
    MIT