# AI integration

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.

OmniFocus MCP Enhanced is an AI-driven productivity tool that provides native custom view access, hierarchical task management, intelligent filtering, etc., and deeply integrates Claude AI to achieve intelligent workflows.

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 Linear MCP Server is a server that implements the Model Context Protocol, used to connect AI assistants to the GraphQL API of the Linear project management system, providing functions such as issue tracking and project management.

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 MCP server officially provided by LAPRAS is used to access and operate job - seeking, work experience and other information on the LAPRAS platform through AI tools. It supports rapid deployment through npm or Docker and provides multiple functions such as job search and work experience management.

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

This project demonstrates how to set up a remote MCP server on Cloudflare Workers and implement OAuth login functionality, supporting connection and tool invocation through the MCP inspector and the Claude desktop application.

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.

Redshift MCP Server is a Python-based implementation of the MCP protocol that enables AI assistants to interact with Amazon Redshift databases.

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.

The DeepSource MCP Server is a service that implements the Model Context Protocol, used to connect the DeepSource code quality analysis platform with an AI assistant, providing functions for querying code quality indicators, issues, and accessing analysis results.

A tool for getting and reading Trade Companion column articles on Substack, which needs to be used with Claude AI.

The ActiveCampaign MCP server is a Model Context Protocol server for integrating with the ActiveCampaign API, providing contact management and tracking analysis functions, and supporting friendly queries from AI tools.

The Uptime Agent MCP Server is a service that connects the Uptime Agent monitoring system to an AI assistant (such as Claude) via the Model Context Protocol (MCP), supporting functions such as real - time monitoring access, incident management, and monitoring creation.

A generative AI support plugin for Unreal Engine that integrates multiple cutting - edge LLM/GenAI model APIs, providing AI integration layer support in game development, including chat and structured output functions for models such as OpenAI, Claude, and Deepseek, and supporting the Model Control Protocol (MCP) to achieve advanced functions such as scene object control and blueprint generation.

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.

DeepClaude MCP is a server application that integrates the capabilities of DeepSeek and Claude AI, providing more powerful AI response services through the collaboration of two models.

A Model Context Protocol (MCP) server designed for Taskfile/go-task, supporting the running of development tasks through AI agents.

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.

OpenAPI-MCP is a proxy server that can dynamically convert OpenAPI specifications into standardized MCP tools, resources, and prompts, simplifying the integration process between AI agents and external APIs.

Build a remote MCP server on Cloudflare Workers, support OAuth login, and provide integration with the MCP Inspector and Claude Desktop.

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 Kong Konnect MCP server is a Model Context Protocol service for interacting with Kong Konnect APIs, enabling AI assistants to query and analyze Kong gateway configuration, traffic, and statistics data.

The Razorpay MCP Server is a middleware connecting the Razorpay payment gateway and AI assistants. Through the standardized Model Context Protocol, AI assistants can directly access Razorpay account data.

View Control MCP Server is a server that implements the Model Context Protocol (MCP), allowing AI assistants to control the mouse, keyboard operations, and screen capture of a local PC through the JSON - RPC 2.0 protocol. It supports integration with MCP clients such as Claude Desktop and Cursor.

A Postman-based AI tool generation server that can convert Postman collections into type-safe code and support the integration of multiple AI frameworks.

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