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    An MCP server that lets AI models run code in 31 languages, evaluate symbolic math and logic problems, and measure complexity—exposed as 48 tools for execution, session management, translation, optimization, and more.
    2
    51
    311 PyPI
    3
    Apache 2.0
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    quality
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    A Model Context Protocol (MCP) server that helps AI coding assistants identify critical design issues in code, rather than just focusing on cosmetic problems when asked to improve code.
    1
    8 npm
    27
    MIT
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    An MCP server that scans codebases to extract structural information (classes, functions, etc.) with flexible filtering options and outputs in LLM-friendly formats.
    1
    2
    GPL 3.0
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    Provides LLM Agents with AI-powered mentorship for code review, design critique, writing feedback, and brainstorming using the Deepseek API, enabling enhanced output in various development and strategic planning tasks.
    5
    31
    Apache 2.0
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    An MCP server that enables seamless communication between ABAP systems and MCP clients using the ABAP Development Tools (ADT) API. It provides tools for managing ABAP objects, handling transport requests, and performing code analysis directly through MCP-compatible interfaces.
    100
    MIT
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    An MCP bridge that enables Claude Code to consult the Kimi AI model in a structured challenge-loop for code review, debugging, and architecture evaluation.
    18 npm
    2
    MIT
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    C
    maintenance
    Enables coding agents to audit a Next.js codebase read-only, checking routes, Prisma models, environment variables, and locale consistency via MCP tools.
    MIT
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    C
    maintenance
    An MCP server that provides semantic Ada language features like navigation, diagnostics, and code intelligence to AI coding agents by wrapping the Ada Language Server.
    1
    MIT
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    Integrates Google Gemini AI into Warp terminal workflows through three focused tools: single-turn chat for quick questions, multi-turn conversations with context preservation, and AI-powered code analysis with bug detection and optimization suggestions.
    65 npm
    8
    MIT
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    maintenance
    Send requests to OpenAI, MistralAI, Anthropic, xAI, or Google AI using MCP protocol via tool or predefined prompts. Vendor API key required. Both STDIO and SSE transport mechanisms are supported via arguments.
    11 npm
    11
    MIT