Integration MCP Servers
Discover Cursor MCP servers tagged with "Integration" to enhance your AI coding experience.
Comprehensive GraphQL API integration that automatically exposes each GraphQL query as a separate tool.
The KubeSphere MCP Server is a Model Context Protocol(MCP) server that provides integration with KubeSphere APIs, enabling to get resources from KubeSphere. Divided into four tools modules: Workspace Management, Cluster Management, User and Roles, Extensi
(by amornpan) - Implementation for LINE Bot integration that enables Language Models to read and analyze LINE conversations through a standardized interface. Features asynchronous operation, comprehensive logging, webhook event handling, and support for v
A Model Context Protocol (MCP) server implementation that integrates with Unleash Feature Toggle system. Provide a bridge between LLM applications and Unleash feature flag system
A Model Context Protocol (MCP) integration that provides Claude Desktop with autonomous browser automation capabilities.
Provides comprehensive integration with your VictoriaLogs instance APIs and documentation for working with logs, investigating and debugg
Atlassian Confluence Cloud integration. Enables AI systems to interact with Confluence spaces, pages, and content with automatic ADF to Markdown conversion.
Atlassian Jira Cloud integration. Enables AI systems to interact with Jira projects, issues, comments, and related development information in real time.
Integration with QA Sphere test management system, enabling LLMs to discover, summarize, and interact with test cases directly from AI-powered IDEs
Codex API integration for real-time enriched blockchain and market data on 60+ networks
A ledger-cli integration for managing financial transactions and generating reports.
Allows to read notes and tags for the Bear Note taking app, through a direct integration with Bear's sqlitedb.
An integration that allows Claude Desktop to interact with Spotify using the Model Context Protocol (MCP).