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Demonstrates the integration of AI capabilities within Spring Boot applications using the Spring AI framework.
Integrates hundreds of tools and diverse biomedical databases into an advanced server platform for comprehensive multi-dimensional information retrieval.
Enables reading and writing of Microsoft Word (docx) files through a Model Context Protocol (MCP) server.
Integrates Anthropic's Claude AI model with custom tool servers within a Laravel application, extending Claude's capabilities.
Enables LLM agents to interact with GitHub repositories, issues, and pull requests through the Model Context Protocol.
Develops and orchestrates large language model (LLM)-based HTTP and Model Context Protocol (MCP) services with ease.
Provides ready-to-run templates for quickly building MCP servers in Python and TypeScript.
Integrates Model Context Protocol (MCP) server capabilities into ElysiaJS applications with HTTP transport.
Enables interaction with debuggers using the Model Context Protocol to enhance debugging workflows.
Perform offline IP Whois lookups and keyword-based IP range searches to gather target asset information.
Enables querying and retrieving threat intelligence data from an OpenCTI platform through a standardized Model Context Protocol (MCP) interface.
Provides secure and controlled cloud access capabilities for large AI models on Huawei Cloud services.
Assists in finding components for JLCPCB PCBA by providing an MCP server.
Provides access to the AlphaFold Protein Structure Database through a comprehensive Model Context Protocol (MCP) server.
Bridges large language models with the APISIX Admin API, enabling natural language interaction with APISIX resources.
Enables AI agents to access Microsoft Entra data by translating natural language queries into Microsoft Graph API calls.
Provides access to Jewish texts from Sefaria.org's library for Large Language Models via the Model Context Protocol.
Provides a Model Context Protocol (MCP) server implementation based on the Cephalon Cloud Flux model API.
Runs a Model Context Protocol (MCP) server in a web browser using WebAssembly.
Automates code reviews by leveraging Large Language Models to identify issues and provide recommendations.
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