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    Enables AI agents to access and manage project guidelines, documentation, and context through a structured content system with template support and workflow management.
    37
    MIT
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    A high-performance, enterprise-grade Model Context Protocol (MCP) server connecting WordPress sites directly to modern AI agents (Claude Code, Cursor, Google Antigravity, Windsurf, etc.). Designed with a Dual-Engine Architecture and Zero-Trust Security Guard, it allows AI agents to inspect site health, query posts and pages, explore ACF & custom post types, optimize SEO, and manage content safely
    36 npm
    1
    MIT
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    Enables AI assistants to discover, retrieve, and compare official international development indicators from sources such as the World Bank, FAOSTAT, WHO, UNICEF, and IMF, while preserving source identifiers, units, and citations.
    10
    1
    MIT
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    A Node.js server that wraps the WordPress REST API with the Model Context Protocol, enabling AI agents to manage posts through standard CRUD operations. It supports both STDIO and SSE transport modes for compatibility with various MCP clients like Claude Desktop.
    14 npm
    MIT
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    Facilitates spec-driven development workflows by providing structured prompts for generating requirements in EARS format, design documents, and implementation code following a systematic approach.
    39 npm
    437
    MIT
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    Enables LLMs to query documents using semantic search, supporting PDFs, Word, Excel, and more. Organizes documents by topics from folder structure and provides advanced search features like phrase matching and date filtering.
    2
    MIT
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    Enables existing Express routers to be exposed as MCP tools, dispatching tool calls through the Express middleware stack in-process without a network hop.
    MIT
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    MCP server for WordPress content management that provides a secure interface for AI assistants to interact with WordPress sites, enabling content creation, editing, and media management without destructive operations.
    MIT
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    A standalone proxy that transforms any OpenAPI or Swagger-described REST API into an MCP server by mapping API operations to executable MCP tools. It enables AI clients to interact with existing web services through automated HTTP requests based on their official documentation.
    23 npm
    16
    MIT
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    Enables AI assistants to convert CSS-animated SVGs into videos (MP4/WebM/MKV/MOV) and animated images (aPNG/GIF) with frame-accurate rendering and transparency support.
    1,545 npm
    4
    MIT