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Trading Signals MCP

Trading Signals MCP

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    • A
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    • A
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      MCP server that provides AI agents with pay-per-call access to a suite of tools (honeypot check, token market, DeFi yields, etc.) via USDC on Base using the x402 protocol.
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    • A
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      Enables AI agents to access crypto market data such as prices, extreme funding rates, and briefs through MCP tools, with paid calls settled in USDC on Base via x402.
      MIT
    • A
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      Enables MCP clients to call pay-per-use tools for search, PDF processing, web reading, extraction, summarization, fact-checking, translation, jobs, and discovery, with each call paid in USDC on Base via x402 and no API key or account required.
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    • F
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      quality
      C
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      Enables AI agents to access 11 paid x402 endpoints as standard MCP tools, paying per call in USDC on Base without API keys, covering chat, code, vision, embeddings, crypto prices, weather, geolocation, forex, and WHOIS data.
      -

    TDQS

    A3.8/5.0

    Scored across 10 tools

    Disambiguation4/5

    Each tool has a distinct role, but pre_trade_check deliberately bundles event_gate, session_brief, insider activity, and token_verdict, so an agent may wonder whether to call the composite or its components. The descriptions largely resolve this by scoping pre_trade_check to a single futures pre-trade verdict and the others to focused data products.

    Naming Consistency4/5

    All names are lowercase snake_case and mostly descriptive noun phrases, which is readable and consistent in style. The main deviation is that a few are verb-led (backtest_opening_range_breakout) and the set does not follow a uniform verb_noun action pattern.

    Tool Count5/5

    10 tools is well within the 3-15 range and each maps to a distinct signal or check. The composite pre_trade_check is justified as a convenience wrapper, and there is no obvious bloat.

    Completeness4/5

    The surface covers event risk, session context, insider activity, token safety, several technical indicators, and a backtest, so core trading-signal workflows are represented. Minor gaps remain for broader market data or portfolio-level risk, but agents can work around them with supplied OHLCV bars.

    Maintenance

    ActivityMaintained
    ResponsivenessNo recent community issues