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    Enables safe math expression evaluation, unit conversion, statistical analysis, number formatting, and percentage calculations for AI agents via MCP.
    5
    24 npm
    MIT
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    A FastAPI-integrated MCP server that provides mathematical operations like addition and multiplication using Pandas for data manipulation. It serves as a comprehensive example for implementing different tool registration patterns and real-time communication via Server-Sent Events.
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    A wrapper for mcp-remote that provides secure authentication for protected MCP servers using Adobe IMS or Okta OAuth flows. It features automated token management, validation, and background refreshing for seamless access to remote resources.
    32 npm
    2
    MIT
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    MCP server that exposes GDB debugging as tools. An AI assistant can set breakpoints, run programs, step through code, inspect variables and memory, and examine registers — all via structured tool calls. Reverse debugging with rr is also supported.
    34
    3
    MIT
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    Provides emergency coding assistance by querying three AI coding models simultaneously through OpenRouter, with automatic premium fallback on rate limits, returning multiple expert opinions with cost and latency telemetry for debugging and problem-solving.
    1
    12 npm
    MIT
  • F
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    Provides basic mathematical operations like addition, subtraction, multiplication, and division via the Model Context Protocol using stdio transport. This project serves as a complete reference implementation for a functional MCP server and client setup.
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    Enables document conversion between PDF, DOCX, and Markdown formats to facilitate reading and editing complex files in AI tools like Claude Desktop or Cursor. It utilizes marker-pdf and pandoc to provide structured text versions of documents, helping to manage context and support unsupported file types.
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    Provides LLMs with deterministic math tools for sandboxed expression evaluation, descriptive statistics, primality testing, prime factorization, GCD/LCM, quadratic solving, and base conversion. Every operation runs real code rather than relying on the model's arithmetic, with expression parsing restricted to a whitelist of operators, constants, and functions.
    21
    MIT
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    A CDP-native MCP server that lets AI agents drive a real Chrome browser with deep network/console inspection, robust page interaction, and the ability to reverse-engineer a site's API flow into runnable code with dependency chaining and replay verification.
    52
    11 npm
    3
    MIT
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    An MCP server that allows users to run and visualize systems models using the lethain:systems library, including capabilities to run model specifications and load systems documentation into the context window.
    2
    14
    MIT
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    MCP server that launches Mesen/MesenCE headlessly and exposes the emulator's debugger-face Lua API over MCP JSON-RPC, enabling AI agents to load ROMs, step frames, inspect memory/registers, manage breakpoints/watches, trace execution, and export Code/Data Logger maps for SNES, NES, PC Engine, and Game Boy Advance.
    22
    GPL 3.0
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    An MCP server that gives AI coding assistants QA superpowers, enabling users to report bugs by pointing, clicking, or typing while automatically capturing diagnostic data for AI-driven test-feedback-fix loops.
    8 npm
    4
    MIT
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    Turns a codebase into a persistent knowledge graph so AI coding agents can answer structural questions about functions, call chains, routes, and cross-service links through graph queries instead of reading files one by one.
    MIT