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    Enables searching and reading AVEVA Customer Support Portal knowledge base articles, including tech notes, known issues, and error-message diagnostics, to ground AI answers in support content not found in public documentation.
    3
    MIT
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    Enables AI agents to browse, search, and read a curated library of 198 UI/UX and animation design skills across 17 categories, distilled from 10 open-source projects, with a progressive 5-step workflow for guidance.
    5
    665 npm
    MIT
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    Enables natural-language queries across Actian product documentation, GA4 content analytics, and Jenkins CI build status.
    5
    1
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    An MCP server that provides indexed, searchable access to Anthropic Claude and Google Gemini documentation, with full-text search, page fetching, and section listing capabilities.
    4
    MIT
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    A smart documentation system that helps AI assistants understand and follow your project's conventions by automatically discovering, routing, and managing AI_README.md guide files.
    6
    38 npm
    3
    MIT
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    A Model Context Protocol (MCP) server that gives AI assistants direct access to live AVEVA PI System documentation, eliminating hallucination on PI-specific topics.
    3
    MIT
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    Provides a compressed knowledge graph of the NVIDIA AI developer stack for deterministic traversal, enabling agents to answer questions about dependencies and prerequisites with minimal tokens.
    8
    MIT
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    MCP server that recommends which npm/PyPI libraries to use or avoid, with concise verdicts, alternatives, and code snippets, keeping responses under 500 tokens.
    5
    41 npm
    1
    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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    It lets AI coding agents look up design tokens, component specifications, and prohibition rules on demand, then validate generated HTML or JSX with the same lint logic used by CI and editor hooks so violations are caught and corrected immediately. It also exposes the design constitution and rule sets as resources for reference during generation.
    6
    272 npm
    202
    MIT
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    Enables offline, fully local lookups and validations tuned for Chinese development work: statutory holiday and adjusted-workday checks, workday arithmetic, ID card/USCC/mobile format validation, Chinese-to-pinyin conversion, lunar-solar date conversion, and administrative region queries. It also provides searchable summaries of common uni-app, mini program, Element Plus, and Vant APIs, so assistants can answer these questions without any network calls or third-party services.
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    1
    MIT
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    Enables AI agents to query a structured local knowledge base of an Android repository, covering architecture, Gradle, tests, UI selectors, CI/CD, and other context, so they can retrieve needed information with supporting evidence without rediscovering the project.
    6
    51 PyPI
    1
    MIT
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    Helps AI assistants access shadcn/ui component documentation and examples through a TypeScript-based MCP server that provides reference information for component details, usage examples, and search capabilities.
    4
    551 npm
    60
    MIT
  • A
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    Provides AI-powered search and documentation tools using Google Vertex AI or Gemini API with real-time web search grounding, enabling technical queries, code analysis, documentation retrieval, and architecture recommendations to overcome LLM knowledge gaps.
    7
    190 npm
    7
    MIT
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    Enables AI assistants to query accurate, up-to-date documentation for a React component library, including component lists, search, props, allowed values, defaults, and validated JSX usage examples over stdio.
    4
    MIT
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    Provides AI assistants with comprehensive access to shadcn/ui v4 components, blocks, demos, and metadata across React, Svelte, Vue, and React Native, enabling efficient component integration and code generation.
    10
    6,787 npm
    MIT
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    A TypeScript server that enhances AI assistants' capabilities when working with Starwind UI components, providing tools for project initialization, component installation, documentation access, and more.
    5
    181 npm
    35
    MIT
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    Provides semantic search and intelligent access to SAP AI Core documentation for AI assistants like Claude. It enables users to search across categories, retrieve full document content, and access topic-specific information from the SAP artificial intelligence repository.
    4
    MIT
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    Provides programmatic access to 30+ Basecoat CSS (HTML port of ShadCN UI) components with usage documentation, setup scripts, and theme switching code. Enables AI assistants to help developers build accessible HTML interfaces with forms, navigation, feedback, interactive, and layout components.
    7
    82 npm
    16
    MIT
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    Connects documentation, GA4 search analytics, Jenkins CI pipeline, and RAGAS-style evaluation to Claude for content gap analysis and documentation improvements.
    6
    2
    MIT
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    Provides AI assistants with comprehensive access to Grafana's React component library, including TypeScript source code, MDX documentation, Storybook examples, test files, and design system tokens for building Grafana-compatible interfaces.
    1
    327 npm
    9
    MIT
  • A
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    UK solar PV and heat pump calculators following the MCS standards, plus home energy guides, as a CLI and local MCP server.
    MIT
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    Provides AI assistants with comprehensive access to Taiga UI components, enabling retrieval of component documentation, code examples, and migration guides via four MCP tools.
    7,077 npm
    15
    Apache 2.0