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    A local MCP server that accumulates the business-domain knowledge of a software project — flows, integrations, decisions, nuances — and makes it available to any MCP-compatible agent (Claude Code, Cursor, Copilot, Gemini, OpenCode). The goal is to capture the why behind the code: the stuff a new developer would need six months from now to understand why a thing is built the way it is. The what is
    4
    Apache 2.0
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    MCP server that enables AI assistants to drive systematic literature review workflows, including screening, downloading, converting, and reviewing papers through natural language conversation.
    31
    AGPL 3.0
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    maintenance
    Lets an AI agent read and change on-premises Active Directory by writing short JavaScript scripts that run in a network-isolated sandbox against a chosen domain. Runs on Windows as the logged-on user, over Kerberos, with tools for executing scripts, searching the domain's schema catalogue, querying Microsoft Learn docs, and managing domain connections and Group Policy objects.
    6
    27 npm
    MIT
  • A
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    A
    quality
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    Enables AI coding assistants to write, validate, and troubleshoot Kenya Revenue Authority eTIMS integrations spanning OSCU cloud REST, VSCU, TIS, buyer-initiated invoicing, fuel station automation, and stock management. Exposes searchable knowledge, API schemas, KRA code tables, payload validation, ready-to-run sample payloads, QR code string formatting, and instant error-code diagnostics.
    7
    MIT
  • A
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    quality
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    maintenance
    Provides AI assistants with direct access to Laravel documentation, coding rules, and implementation templates stored locally. It enables searching documentation, retrieving design system guides, and accessing domain-specific code examples to streamline Laravel development.
    8
    MIT
  • A
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    A
    quality
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    maintenance
    Enables AI assistants to extract and document Mendix Studio Pro modules by interrogating local .mpr files. Generates comprehensive JSON documentation of domain models, pages, microflows, and enumerations without sending data to the cloud.
    1
    7 npm
    1
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  • A
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    Enables working with large documents of any size by intelligently segmenting them and using TF-IDF search to retrieve only relevant fragments, preventing context window saturation. Provides 31 domain-agnostic tools for document ingestion, semantic analysis, epistemological validation, and extraction verification across formats like PDF, EPUB, and HTML.
    31
    MIT
  • A
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    Enables searching and browsing public vendor trust center records, looking up vendors by domain, and auditing project dependencies against vendor security documentation.
    Apache 2.0
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    maintenance
    A lightweight, domain-agnostic hybrid search engine for markdown corpora, exposed via the Model Context Protocol (MCP), optimized for serving SDK documentation to AI coding agents.
    8
    AGPL 3.0
  • A
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    quality
    B
    maintenance
    Atlas helps AI agents understand and use information from the web without token bloat or hallucinations. It transforms messy web pages, SPAs, and documentation into clean, structured Markdown and JSON, providing powerful tools for deep compilation, fast scraping, multi-page crawling, and domain mapping.
    1
    MIT
  • A
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    quality
    A
    maintenance
    Enables AI agents to query version-aware, source-backed knowledge through MCP, using deterministic retrieval, durable research demands, and immutable validated revisions. It provides network and domain-specific guidance without connecting to devices or executing commands.
    3
    Apache 2.0