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    license
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    A simple MCP server implementation in TypeScript that communicates over stdio, allowing users to ask questions that end with 'yes or no' to trigger the MCP tool in Cursor.
    1
    9
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  • A
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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
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    Integrates ElevenLabs Text-to-Speech capabilities with Cursor through the Model Context Protocol, allowing users to convert text to speech with selectable voices within the Cursor editor.
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    Ephemeral MicroVM-isolated code execution for AI agents. Run Python, Node, or bash β€” fresh hardware-isolated VM per call, hard-purged after. No state persists between calls.
    1
    67
    MIT
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    Enables execution of TypeScript code to call MCP tools instead of direct tool calls, reducing token usage by up to 98% while orchestrating complex multi-tool workflows through secure sandboxed code execution.
    1
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  • A
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    quality
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    Enables MCP-compatible AI agents to access Polymarket prediction-market data and run Python 3.12 in an isolated sandbox, with each call paid automatically in USDC on Base.
    2
    389
    MIT
  • A
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    quality
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    A template for building Model Context Protocol servers that allow AI assistants to interact with custom data and services through queryable resources and specialized tools.
    6
    MIT
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    quality
    A
    maintenance
    Enables AI agents and scripts to inspect objects, call functions, and run Lua in a running UE4SS game via MCP, with no sockets or admin rights required.
    14
    MIT
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    A code-first MCP server that provides a single tool to execute JavaScript or TypeScript with authenticated access to Google Workspace APIs. It enables flexible interactions with services like Calendar and Drive by running user-provided scripts through a built-in runtime environment.
    1
    7
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    A best-effort universal logic and numerical solver interface using MCP that implements the 'LLM sandwich' model to process queries, call dedicated solvers (ortools, cvxpy, z3), and verbalize results.
    7
    65
    Apache 2.0