# AI integration

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.

Gossiphs is a zero-configuration, high-performance general code file relationship analysis tool that supports multiple programming languages. It is based on tree-sitter and git analysis, provides support for Python SDK and MCP protocol, and is convenient for integration with AI.

The KubeBlocks Cloud MCP Server is a service based on the Model Context Protocol (MCP) that provides seamless integration with the KubeBlocks Cloud API, enabling AI assistants to manage cloud resources through standardized tools by calling interfaces.

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.

The n8n MCP server is a service based on the Model Context Protocol that allows direct management of n8n workflows through AI agents, providing functions such as workflow listing, execution, and monitoring.

A server implementing the MCP protocol for integrating Deepseek models in Claude Desktop

Shell MCP Server is a tool that provides secure Shell command execution capabilities for AI applications, supports multiple Shell environments, and has security features such as directory isolation and timeout control.

A server that provides Steam game data through the MCP protocol

An MCP server tool that allows Claude AI to directly interact with MySQL databases

An MCP server for querying Erick Wendel's cross - platform contribution content, supporting natural language queries for talks, blogs, and videos.

XTQuantAI is a server based on the MCP protocol that integrates the Xuntou Quantitative Platform with an AI assistant, enabling the AI to directly access and operate quantitative trading data.

The Payman AI Documentation MCP Server provides convenient document access and integration support for developers

The Alibaba Cloud Supabase MCP Server project connects Supabase projects with AI assistants through the Model Context Protocol standard, providing tools such as project management and database querying, and supporting the deployment and operation of Supabase services on the Alibaba Cloud platform.

MCP-ANY-REST is a REST API connector based on the Model Context Protocol standard. It enables secure and efficient connection between AI models and business systems through the ZML configuration language, supporting service orchestration and token authentication.

This is an MCP server that connects AI assistants with real-time cryptocurrency market data, providing functions such as price, volatility, anomaly detection, correlation analysis, and mining risk monitoring.

The Miro MCP Server is a high-performance tool developed in Go language, providing 77 tools to control Miro whiteboards, supporting AI integration, chart generation, bulk operations, etc. It runs through a single binary file and is compatible with all major AI tools and platforms.

This is an MCP server for Autodesk Revit, which enables the interaction between AI agents and Revit software through natural language control. It provides more than 100 API tools, supporting functions such as document management, model creation, and view operations.

The OpenSentry MCP server is a read-only model context protocol service used to connect to the OpenSentry security command center, enabling AI assistants to query camera status, detection alerts with location data, video records, and system health information.

An MCP server implementation based on the MySSL API that provides domain name and IP security check functions and supports integration with AI clients.

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 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.

The Figma MCP Server is a Model Context Protocol service that connects to the Figma API, allowing AI tools and LLMs to access and process Figma design files. It supports functions such as design data extraction, design system analysis, UI content management, and development documentation generation.

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.

The Canvas LMS MCP server is a bridge connecting an AI system and the Canvas Learning Management System, providing access to educational data such as courses, assignments, and quizzes.

The Maya MCP Server project implements the Model Context Protocol (MCP), allowing AI assistants to control Autodesk Maya through natural language. This project features a lightweight design, does not require installing plugins in Maya, communicates via Maya's default MEL script port, and supports dynamically adding new tool functions.

The MCP protocol enables standardized interaction between LLMs and the openGauss database, and builds an AI Agent application framework

Awesome MCP FastAPI is an enhanced Model Context Protocol (MCP) service implemented based on the FastAPI framework. It provides powerful tool registration functionality and automatic documentation generation, leveraging the mature FastAPI ecosystem to achieve high-performance AI tool integration.

A profile analysis tool based on the LinkedIn API that interacts with Claude AI through the MCP protocol to achieve the functions of obtaining, analyzing, and searching LinkedIn post data.

The Amplitude MCP Server is a Model Context Protocol (MCP) server for integrating Amplitude analytics into AI workflows, supporting functions such as event tracking, page views, user registration, setting user properties, and revenue tracking.