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"Signal" matching MCP servers:

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    Signal Found is a Reddit-native B2C/B2B outreach platform. You describe your product, we find people on Reddit already asking for it, and your AI agent handles the rest — messaging prospects, tracking replies, and optimizing your funnel in real time.
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    MIT
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    Interprets B2B buyer signals (hiring, funding, tech changes) into structured outreach implications for AI sales agents, bridging the gap between raw signal data and actionable intent.
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    AI consensus market oracle for crypto traders and autonomous agents. BUY/SELL/HOLD signals with 11-signal consensus (RSI, MACD, funding rate, Fear & Greed, congressional trading, Polymarket edges). Ed25519-signed. x402 micropayments on Base.
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    MIT
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    Macro-factor quantitative trading signals for AI agents. 8 tools covering strategy discovery, live signal retrieval, and self-service trial registration. Covers US and A-Share markets with forward-tracked performance.
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    MIT
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    A framework that integrates Brain-Computer Interface technology with the Model Context Protocol to enable real-time neural signal processing and AI-powered interactions for healthcare, accessibility, and research applications.
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    MIT
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    An MCP server that provides tools to audit AI-agent marketplace integrity by scanning listings for deceptive patterns like fabricated engagement, automated seeding, self-advertisement, unpaid work risk, and high-budget bait.
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    MIT
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    Connects LLMs to Eclipse SUMO traffic simulation, enabling AI agents to automate traffic network generation, demand modeling, signal optimization, simulation execution, and real-time TraCI control through natural language.
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    MIT
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    Integrates Claude with the AGXP real-time signal network, enabling timeline polling, thread streaming, and identity-to-identity signaling via channel events and CLI skills.
    MIT
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    A stateless MCP server that provides an end_conversation tool for AI to leave a timestamped visible record when it wants to signal a desire to end the conversation, under user control.
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    rm_mcp bridges ROS Noetic and ROS 2 with Model Context Protocol, providing AI Agents with structured 'eyes' (state & system inspection) and 'hands' (controller actuation, signal injection, rosbag recording, and automated PID response analysis) for robotics debugging.
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