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"Biology and Medical Information Search" matching MCP servers:

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    Enables integration of Perplexity's AI API with LLMs, delivering advanced chat completion by utilizing specialized prompt templates for tasks like technical documentation, code review, and API documentation.
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    MIT
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    A lightweight and fast MCP server that enables AI agents to efficiently discover and execute tools through progressive disclosure, minimizing context consumption while supporting safe code execution in external environments.
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    An advanced MCP server that provides an agentic interface to Google's Gemini 3.1 models via Vertex AI, combining real-time Google Search, URL analysis, and Python code execution to solve complex multi-step research and data tasks.
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    MIT
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    A production-ready foundation template for building Model Context Protocol (MCP) servers with FastAPI, featuring modular tools, comprehensive testing, and OpenShift deployment configurations. Includes automated transformation scripts to create custom domain-specific MCP servers.
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    Apache 2.0
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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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    Connects PyMOL to Claude AI through the Model Context Protocol, allowing for conversational structural biology and molecular visualization through natural language commands.
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    MIT
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    A Model Context Protocol server that enables Claude AI to interact with Paybyrd's payment processing API, allowing for creating payment links, processing refunds, and retrieving order information.
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    MIT
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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.
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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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