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    MCP server connecting Claude/Cursor to Codex CLI, enabling code analysis via @ file references, multi-turn conversations, sandboxed edits, and structured change mode.
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    95 npm
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    MIT
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    Enables AI assistants to search, list, and retrieve documentation from the Slice.js official GitHub repository. It provides full-text search capabilities and can deliver individual doc pages or a complete documentation bundle for comprehensive LLM context.
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    217 npm
    5
    MIT
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    Enables AI agents to directly control Figma Desktop via MCP, supporting UI creation, editing, prototyping, and variable management with over 60 tools.
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    1,406 npm
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    MIT
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    Provides AI assistants with direct access to Jamf official documentation, enabling them to answer Jamf-related questions by searching, retrieving articles, and browsing product documentation.
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    407 npm
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    MIT
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    Provides local, offline searchable access to Roku and BrightScript development documentation via MCP tools and resources, including full-text search, sectioned reading of large docs, and background syncing from the upstream repo.
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    Enables AI agents to access and utilize GovBR Design System documentation, including component details, accessibility guidance, and search functionality via Model Context Protocol.
    3
    9 npm
    MIT
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    Provides AI coding assistants with access to AccelByte Gaming Services (AGS) Extend SDK functions and models through searchable symbols and detailed documentation. Helps generate SDK code by exposing context about available functions, models, and templates for creating Extend app projects across multiple languages (Go, C#, Java, Python).
    2
    Apache 2.0
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    Provides comprehensive documentation for MAX Platform, including Bot API endpoints, guides, Bridge API, and UI components, via MCP tools and resources for AI coding agents.
    8
    MIT
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    Enables AI agents to prepare, preview, quote, and send approved faxes, track delivery and evidence, read inbound faxes, extract data, and request human approvals through a fax API.
    15
    MIT
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    Provides programmatic access to Material Web documentation and components for AI agents, enabling documentation search, template generation, and HTML validation.
    7
    98 npm
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    MIT
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    Provides access to PatternFly React documentation, development rules, and component schemas through MCP tools, enabling AI assistants to help developers build applications with PatternFly components following best practices.
    2
    424 npm
    5
    MIT
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    An MCP server that gives AI assistants access to the AsyncAPI specification - search, explore and retrieve any version of the spec directly from your coding tool.
    5
    Apache 2.0
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    A Model Context Protocol server that provides real-time access to Effect ecosystem documentation, enabling AI assistants to retrieve accurate and up-to-date docs for Effect packages.
    2
    34 npm
    45
    MIT
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    A CLI-based Model Context Protocol server that exposes PubNub SDK documentation and Functions resources to LLM-powered tools like Cursor IDE, enabling users to fetch documentation and interact with PubNub channels via natural language prompts.
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    280 npm
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    A production-ready MCP server that enables interaction with the AroFlo API to manage quotes, projects, and labor reporting. It features secure request signing and exposes API documentation as resources for enhanced context and tool surface.
    51
    2
    ISC
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    Enables coding agents to compose, tune, render, mix, and audit native VOCALOID3/4 projects from scratch, acting as a production bridge between intent and finished song.
    22
    13
    MIT
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    An MCP server for RSS feed aggregation and article content extraction, allowing users to subscribe to feeds and extract full article content as Markdown.
    2
    203 npm
    5
    MIT
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    Provides complete access to Model Context Protocol documentation through an MCP server, allowing LLMs to query specific sections like 'Tools', 'Resources', and 'Authorization' to retrieve comprehensive protocol specifications.
    1
    9 npm
    9
    MIT