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    A general-purpose MCP server providing web search, persistent memory storage, and secure code execution capabilities. It enables AI agents to search the web, store and retrieve data, and run Python/JavaScript code in sandboxed environments.
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    8
    MIT
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    A boilerplate project for quickly developing Model Context Protocol (MCP) servers using TypeScript SDK. Includes example tools for calculations and greetings, plus system information resources.
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    Provides comprehensive documentation about AWS AgentCore framework to GenAI tools, enabling users to build production-ready AI agents with enterprise-grade security, observability, and scalability. Offers guidance on identity management, API integration, monitoring, code execution, memory storage, and tool integration for AI agents.
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    7
    Apache 2.0
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    A Lightning-paid tool stack for autonomous agents — capital-scale-aware second-opinion /review (Sentinel mode auto-injects live trading state), reasoning, structured decisions, sandboxed code execution, paid agent-to-agent messaging, persistent memory, and signed audit proofs. Built and used daily by our own agent fleet who pay each other in sats. Pay-per-use via Bearer balance or L402.
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    4
    Apache 2.0
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    Async Python REPL + Shell execution for MCP. Provides persistent state, background jobs, interactive input() bridging, and crash isolation in a single server.
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    1
    Apache 2.0
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    ScriptFlow is a script workflow management system that transforms complex, repetitive AI interactions into persistent, executable scripts that can be managed, version-controlled, and reused across sessions.
    Last updated
    8
    8
    MIT
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    Provides a stateful Django shell environment that allows AI assistants to execute Python code directly against Django projects. Maintains persistent session state between calls, enabling iterative exploration of models, queries, and debugging.
    Last updated
    40
    MIT
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    A production-grade MCP server providing a persistent Python REPL with multi-session support, sandboxing, and timeout protection, enabling LLM agents to execute Python code across multiple turns with variables that persist between calls.
    Last updated
    MIT
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    Enables interactive Python execution with a persistent IPython kernel through MCP, retaining namespace state and providing structured output logs for agent and tool integrations.
    Last updated
    Apache 2.0
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    Enables creation and management of persistent REPL sessions for various languages and shells, with web-based monitoring and session recovery capabilities.
    Last updated
    18
    3
    MIT