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    Exposes an MCP server that routes every agent tool call through deterministic policy gates, budget escrow with clawback, authenticated approvals, and a hash-chained audit trail, enabling agents to safely perform money-related operations while receiving actionable denial reasons.
    13
    114 PyPI
    2
    Apache 2.0
  • A
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    An MCP server that implements the 'think' tool, providing Claude with a dedicated space for structured thinking during complex problem-solving tasks to improve reasoning capabilities.
    130
    MIT
  • A
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    Enables MCP apps to manage durable, model-defined goal phases with persistent state, checkpointed progress, and safe resumption after interruptions or lost turns, ensuring elapsed time never implies completed business work.
    1
    MIT
  • A
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    Enables AI agents to use paid MCP tools within a human-approved budget by holding a PayPal sandbox authorization, checking each call against policy, recording usage in a durable ledger, and capturing or voiding the authorization at session close.
    11 npm
    MIT
  • A
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    Enables AI agents to propose changes, obtain human or policy approval, and safely apply them with drift checks, idempotency, verified completion, compensation, and a tamper-evident ledger.
    651 npm
    MIT
  • A
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    Enables non-custodial guarding of autonomous Base USDC payments by checking an exact owner-mandated transaction immediately before a customer-owned AWS KMS signer can sign it.
    MIT
  • A
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    Pay-per-call tools for AI agents via x402 (USDC on Base): web-to-Markdown, PDF, provenance (human vs synthetic), trusted lookup with citations, a 3.9M-business global directory, LatAm ID validators, agent-forged tools and 2,000+ proxied x402 services. No API keys, charged only on success, free trial without a wallet. Remote: https://toll402.dev/mcp · Local: npx -y toll402-mcp
    MIT
  • A
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    Stateful backend for AI agents providing memory, watch, render, execute, and board primitives via remote MCP. Enables agents to persist facts, track page changes, render JS pages, run code, and coordinate on shared boards.
    11 npm
    MIT
  • A
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    Implements Anthropic's 'think' tool for Claude, providing a dedicated space for structured reasoning during complex problem-solving tasks that improves performance in reasoning chains and policy adherence.
    4
    88 npm
    38
    MIT
  • A
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    Official implementation of Anthropic's 'think' tool that provides Claude with a dedicated space for structured reasoning, improving performance by up to 54% on complex tasks requiring multi-step problem solving.
    1
    34 npm
    125
    MIT
  • A
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    An MCP server implementation of Anthropic's Think Tool prompt engineering technique that enables Claude to break down complex problems and enhance its reasoning capabilities by providing a simple tool that echoes back thoughts.
    1
    2
    ISC
  • A
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    quality
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    An MCP server that provides a "think" tool enabling structured reasoning for AI agents, allowing them to pause and record explicit thoughts during complex tasks or multi-step tool use.
    1
    15 PyPI
    107
    MIT
  • A
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    This is a powerful Model Context Protocol (MCP) server that integrates multiple AI coding agents—Anthropic Claude Code, OpenAI Codex, and Google Gemini—directly into your workflow. It enables seamless cross-provider analysis, leveraging Gemini's massive token window, Codex's specialized coding capabilities, and Claude's advanced reasoning.
    10
    13 npm
    MIT
  • A
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    MCP server that builds itself by creating new tools as needed based on user requests (Requires restart of Claude Desktop to use newly created tools).
    4
    25
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  • A
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    quality
    C
    maintenance
    A Model Context Protocol server that enables AI assistants to interact with Google Gemini CLI, allowing them to leverage Gemini's large token window for analyzing files and codebases using natural language commands.
    5
    3,123 npm
    2,297
    MIT
  • A
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    Enables agents to synthesize typed MCP tool schemas at runtime, validate Python ASTs for unsafe imports, compile sandboxed callable handlers, and hot-plug them into an active MCP runtime. It provides a zero-dependency, standard-library-only MCP server for safe just-in-time tool creation and execution.
    7
    MIT
  • A
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    B
    maintenance
    Enables coding agents to claim, work, and submit tasks on SerenEdge projects by exposing the platform's agent API as MCP tools.
    MIT
  • A
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    Enables AI assistants to interact with multiple AI models through the OpenCode CLI with a unified interface. Supports plan mode for structured analysis, flexible model selection, and natural language queries with file references.
    11
    MIT