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    An MCP server that lets Claude Code or any MCP client drive a running CoppeliaSim 4.10 simulation--building scenes, moving objects, creating joints and proximity sensors, running simulations, and reading sensors--without exposing arbitrary Lua execution.
    31
    MIT
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    Enables AI agents to perform low-level Windows process memory research, including process attachment, memory scanning, reading/writing, pointer chasing, remote code execution, and inline hooking via MCP tools and Lua scripting.
    2
    MIT
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    MCP server that executes Blueprint workflows (flow.ir) with swarm operations, dispatching agent steps to backends like Lua, Rust, processes, or interactive Operator sessions.
    1
    Apache 2.0
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    ESP32-based Streamable HTTP MCP server with embedded Lua scripting engine. Bridges Claude AI to physical devices — telescopes (INDI protocol), sensors, BLE peripherals, and TCP devices. Flash-and-run binary distribution, no build required.
    13
    MIT
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    Enables agents to store and recall long-term memories by semantic relevance rather than exact keywords, with writes gated by verbatim evidence and separate memory stores per agent mode.
    6
    50
    MIT
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    Autonomous LLM-powered web crawler with 17 browser tools and goal-driven agent. Single Rust binary with stealth browsing, provider-agnostic LLM support, and built-in MCP server.
    39
    12
    MIT
  • A
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    An MCP server that gives AI agents local Linux desktop control through tools for screenshots, accessibility, mouse, keyboard, and reliable text input.
    36
    MIT
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    Provides a local MCP bridge for AI assistants to control a Mac by observing screen state and performing actions like mouse movement, clicking, typing, and opening URLs.
    12
    MIT
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    Provides AI agents with institutional-grade quantitative finance tools including real-time market data, paper trading via Alpaca, risk analysis with Monte Carlo simulations, backtesting, and multi-source news sentiment analysis for portfolio management and trading strategy development.
    31
    5
    MIT
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    Provides tools to evaluate an AI agent's step before execution, returning signed ALLOW/DENY receipts, and to verify receipt chain integrity.
    Apache 2.0
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    Enables agents to maintain persistent emotional and subjective states, adapt reply behavior across interactions based on relationship dynamics, all without extra LLM calls.
    87 npm
    11
    MIT