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360,877 tools. Last updated 2026-08-01 15:39

"An overview or explanation of 思维链 (Chain of Thought)" matching MCP tools:

  • Generate executable Python code for nonlinear programming, rootfinding, ODE/DAE simulation, and optimal control, with an explanation of the approach.
    MIT
  • Retrieve an overview of on-chain indicator alert subscriptions, including pricing, supported conditions, subscriber flow, and current subscription stats for each chain.
    MIT
  • Record chain-of-thought reasoning from networked AI agents into match replays, preserving LLM thought processes that would otherwise be lost from client-side TUI panels.
    Apache 2.0

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  • Performs chain-of-thought reasoning on problems using either internal knowledge or pre-gathered sources, with adjustable depth for thorough analysis.
    MIT
  • Retrieve an explanation for why a saved thought or connection exists in your project. Understand the rationale behind existing links.
    MIT
  • Record thought steps for agentic problem-solving: track reasoning, suggest next tools, and list remaining tasks to decompose complex workflows.
    MIT
  • Reconstructs the complete chain of reasoning for any governed session, agent, or time range, returning causally ordered links with hash-chain verification. Supports summary, full, DAG, or EU AI Act compliance export.
    MIT
  • Retrieve the thought history for the current session to review the reasoning chain or find context, with optional filtering by branch and capping results.
    MIT
  • Check the status of an async chain execution using the chain ID from call_api with async: true.
    MIT
  • Retrieve an overview of cards sorted newest first, with optional deck filter, regardless of due date.
    MIT
  • Retrieve an overview of the agent pool or detailed status for a specific agent. Monitor agent activity and health.
    MIT
  • Solves complex problems using structured chain-of-thought reasoning with adaptive parsing, retry logic, and token budget management.
    MIT
  • List built-in chain templates, run chain specification verification, and produce scoring reports for validating AI-generated code via automated browser testing.
    MIT