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    Enables AI agents to query OpenRouter model information including prices, ELO rankings, context, and perform comparisons.
    24 npm
    1
    MIT
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    Connects AI coding agents to the SkillsMP marketplace, allowing users to search, read, and install over 8,000 community-made skills. It enables agents to gain new capabilities either through on-the-spot instruction or permanent installation without requiring an API key.
    5
    19 npm
    10
    MIT
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    mcp-test-runner is an MCP server that lets your AI client (Claude / Cursor / Codex / Gemini) drive your entire QA loop end-to-end: * Run tests across pytest / Jest / Cypress / Go / Maestro — single MCP surface, one env var to switch * Analyze a URL (Web DOM probe) or a live mobile screen (Maestro hierarchy) to extract testable modules + candidate cases * Generate runna
    22
    40 PyPI
    36
    MIT
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    Enables driving any installed CODESYS 3.5 version (SP18–SP22) from a single MCP server, automatically selecting the right install from each project file's saved version. Exposes 127 tools covering project and POU authoring, compile, online/runtime control, devices and tasks, symbol configuration, multi-device projects, and a version plus git release pipeline.
    1
    MIT
  • F
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    This repository provides a template for creating MCP servers with Python, including installation instructions and tools for testing with the MCP Inspector.
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    An advanced MCP server for browser automation using Puppeteer, specifically optimized for token efficiency through minimal data returns and progressive enhancement. It enables agents to navigate pages, capture LLM-optimized screenshots, extract structured content, and perform batch interactions.
    3
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    Enables safe, structured control of Blender on Windows via a standalone STDIO MCP server, providing seven tools to inspect scenes, list and edit materials, transform objects, add modifiers, set smooth shading, and export assets without arbitrary code execution.
    7
    Apache 2.0
  • F
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    Automatically analyzes project dependencies to discover and download the most relevant documentation, enabling developers to quickly set up comprehensive project context.
    11
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    Transforms Claude into a GSAP animation expert with AI-powered natural language animation creation, complete API coverage, and production-ready patterns for all GSAP features and plugins.
    142 npm
    122
    MIT
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    MCP-ORTools integrates Google's OR-Tools constraint programming solver with Large Language Models through the MCP, enabling AI models to: Submit and validate constraint models Set model parameters Solve constraint satisfaction and optimization problems Retrieve and analyze solution
    21
    MIT
  • F
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    Multi-stack scaffolding engine for generating production-ready module structures (NestJS, Java Spring, Python FastAPI) directly from an MCP-compatible AI client, reducing token usage for boilerplate code.
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    Aggregates multiple MCP servers behind a single, secure endpoint with unified tool/resource discovery, OAuth authentication, and resilient request routing. Enables users to manage and interact with multiple MCP backends through one centralized interface with load balancing and circuit breakers.
    2
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  • A
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    MCP server that exposes tools to route natural language queries to typed IDs, describe catalog entries, and list repository verification commands for the m-dev-tools organization.
    3
    1
    AGPL 3.0
  • A
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    Enables generating JSON Schema from sample data, generating TypeScript types, validating data against schemas, creating mock data from schemas, and comparing schemas for differences.
    5
    32 npm
    MIT
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    Provides AI agents with data validation, transformation, and normalization capabilities, including JSON schema validation, CSV processing, data normalization, text cleaning, and dataset merging.
    5
    55 npm
    MIT
  • A
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    Search and resolve MCP server packages on the mpak registry, enabling agents to discover servers, inspect tools, and check credential requirements before installation.
    2
    MIT
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    Enables validating JSON/JSONC, getting/setting values with jq-like paths, pretty-printing or minifying, validating against Ajv JSON Schema, and diffing local files or inline strings without network calls.
    8
    MIT