# AI integration

An MCP server that connects AI assistants with the Metabase analytics platform, providing functions such as data query and dashboard access, and supporting two authentication methods.

A minimalist MCP server example based on Java and Spring Boot, which implements weather query functions by calling the Gaode Weather API and supports AI clients to obtain weather data through the MCP protocol.

This is an MCP server that connects AI assistants with the Metabase analytics platform, providing functions such as data access, dashboard management, and query execution. It supports two authentication methods, facilitating direct interaction between AI and the data analytics platform.

This project demonstrates how to integrate MCP support of Spring AI in a Spring Boot application, including geocoding and time zone query services, and provides geographic location information through LLM interaction.

This project provides a guide for integrating AI chat functionality into Android Studio, enabling developers to interact with code and projects using natural language, including functions such as code Q&A, modification, explanation, and debugging.

MCP-Diagram is a server tool that quickly generates various types of diagrams (such as architecture diagrams, UML diagrams, etc.) from text descriptions. It supports integration with AI assistants like Claude.

Clo MCP is an integrated system that connects Clo3D with large language models, enabling AI-assisted fashion design and scene manipulation through the model context protocol.

An OAuth2 authorization server project based on Spring Boot 3 and Java 24, supporting GraalVM native images, CRaC checkpoint restoration, local AI model testing, and Docker deployment.

Hoverfly MCP Server is a Model Context Protocol (MCP) server based on Spring Boot that integrates the Hoverfly simulation tool into the AI assistant ecosystem, supporting dynamic simulation of third - party APIs to solve the problem of external service dependencies in development and testing.

An MCP Server connected to the Tesla Fleet API that allows controlling Tesla vehicles via AI assistants like Claude

Spring MCP Bridge is an automated tool that can convert REST endpoints of Spring Boot applications into MCP servers, enabling AI assistants to directly interact with APIs. It supports automatic endpoint scanning, model structure preservation, and document annotation extraction without modifying existing code.

The Azure DevOps MCP Server is a tool for interacting with Azure DevOps services through an AI assistant. It uses an entity - based architecture to organize operations, providing enhanced error handling, pagination functions, and detailed documentation.

A simple MCP server designed for x64dbg_automate, used to connect the debugger with the AI agent.

UML-MCP is a server that supports multiple diagram generations. It enables seamless integration with AI assistants through the MCP protocol and provides the function of generating multiple diagram types such as UML and Mermaid.

The GeoFS MCP server is a model context protocol server designed for the GeoFS flight simulator, which allows AI models to control the aircraft and obtain real-time flight data through HTTP and WebSocket interfaces.

This project enhances Claude's ability to handle complex reasoning tasks by integrating the inference engine of DeepSeek R1 and provides an efficient and accurate multi - step reasoning solution.

This project provides the basic code for building the Teradata MCP Server, supports the development of custom tools, and includes functions such as environment setup, testing, integration with proxies, and exposure of REST endpoints.

An MCP server built on Spring AI, providing query functions for SpringOne conference agendas and speaker information, and supporting AI models such as Claude to access real - time conference data.

falcon-mcp is a Model Context Protocol server that connects AI agents to the CrowdStrike Falcon platform, providing programmatic access to core security capabilities such as security detections, events, and behaviors, and supporting intelligent security analysis and automated workflows.

The Qwen MCP tool is a server based on the model context protocol that integrates Qwen CLI with AI assistants, providing functions such as large context window analysis, file processing, sandbox execution, and multi - model support.

The MCP Server for Fathom video conferences provides functions such as meeting transcription, summarization, and to - do item export, and supports direct access to meeting data in the Cursor IDE.

A high-performance MCP server implemented in Go language, providing AI agents and applications with the ability to query and access the Redfish API through natural language, enabling intelligent management and monitoring of data center infrastructure.

The Zotero MCP Server is a model context protocol service integrated with Zotero, allowing AI applications to access and operate on the Zotero literature library, supporting functions such as search, citation, and addition of entries.

The Integrator MCP Server is a legacy model context protocol server that can convert Integrator automated workflows into tools that can be called by AI assistants, enabling two-way interaction.

A PDF reading tool that supports the MCP protocol, providing the read_pdf function through the MCP server to read PDF documents, suitable for MCP - supported AI tools such as Claude Desktop.

The Integrator MCP service is a legacy system that can integrate Integrator automated workflows as tools into AI assistants to achieve two-way interaction.

A lightweight server for executing PowerShell scripts and returning results, supporting AI assistant integration

The JobSpy MCP server is a tool that provides cross - platform job search functionality for AI assistants through the Model Context Protocol (MCP), supporting job searches on multiple platforms and structured data output.

CodeRAG is a tool that transforms codebases into intelligent knowledge graphs. It builds a code structure diagram through Neo4J, supports multi - language analysis, provides code quality metrics and AI integration, and helps with code review, architecture analysis, and refactoring.

MCP URL2SNAP is a lightweight Model Context Protocol (MCP) server that allows LLMs to capture web page screenshots by specifying URLs and return image access links. This project simplifies the process of generating and sharing web page snapshots and is suitable for integration into AI applications such as Claude Desktop or automated workflows.