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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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    Apache 2.0
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    Enables AI agents to perform low-level Windows process memory research, including process attachment, memory scanning, reading/writing, pointer chasing, remote code execution, and inline hooking via MCP tools and Lua scripting.
    MIT
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    CCR gives MCP-capable AI agents persistent project memory, strategy playbooks, and a sandboxed Python REPL.
    Apache 2.0
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    Enables AI agents to run arbitrary Python scripts on Modal's serverless infrastructure with on-demand CPU, memory, and GPU resources, providing scalable compute without maintaining always-on servers.
    MIT
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    Enables Claude Code to build, flash, and communicate with STM32 hardware over SWD and serial, including multi-board management, live memory monitoring, and hardware sequences.
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    MIT
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    Connects LLMs like Claude Desktop with Volatility3 forensics framework, enabling users to analyze memory dumps, detect malware, and perform memory forensics tasks through natural language conversation.
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    A multi-agent system that connects a math server and weather server, allowing users to perform mathematical operations and retrieve weather information based on the numerical results.
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    A starter template for building Model Context Protocol (MCP) servers using TypeScript and Zod for schema validation. It provides a foundational structure and examples for implementing custom tools and resources, such as calculators and system information endpoints.
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    Implements a Model Context Protocol server that connects with Zerodha Kite API, allowing users to buy/sell stocks and retrieve holdings and positions information.
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    A starter template for quickly developing Model Context Protocol (MCP) servers using the TypeScript SDK and Zod for schema validation. It includes example implementations for custom tools and resources like calculators, weather services, and system information.
    112
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    Enables AI assistants to control Houdini by executing Python code, querying scene information, and creating nodes via the Model Context Protocol.
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    A boilerplate project for quickly developing Model Context Protocol servers using TypeScript SDK, with example calculator and greeting tools, and server information resources.