"Finding the best Minecraft plugin compatible with the Cursor tool" matching MCP servers:

Middleware that converts a serverless handler with OpenAPI spec into an MCP endpoint following stateless MCP principles.

Exposes Docusaurus documentation and OpenAPI specs as an MCP server, enabling AI agents to search docs and inspect API endpoints.

An MCP server that generates AI agent tools from Postman collections and requests. This server integrates with the Postman API to convert API endpoints into type-safe code that can be used with various AI frameworks.

Implements a secure MCP server with API Key and JWT authentication, providing tools like echo, login, secure_action, and admin_action. Includes MCP Inspector integration for testing and debugging.

A Bun-based MCP server that allows AI models to query Swagger/OpenAPI documentation from local files or remote URLs. It enables users to search for APIs, retrieve detailed endpoint definitions, and fetch schemas to facilitate code generation and API integration.

Integrates XAPIHub API services with the Cursor IDE to enable user authentication, real-time data fetching, and connection diagnostics. It allows developers to interact with their XAPIHub organization and manage user details directly through natural language commands.

Enables AI agents to create webhook URLs, wait for incoming deliveries, inspect payloads, and replay or send signed webhook events to a local handler.

A Python-based MCP server that dynamically fetches plugin definitions from SuperiorAPIs and auto-generates tool functions based on OpenAPI schemas, enabling seamless integration with API services.

A versatile tool that converts Web API interfaces into MCP tools for AI assistants, allowing them to access various web services through simple configuration and API key management.

An MCP server that integrates EVE Online's ESI API with AI assistants to enable natural language interaction with character data, market information, and assets. It provides 22 tools for managing skills, wallet balances, ship fittings, and more directly through AI-powered clients.

Converts Dify tools' API to MCP (Model Control Protocol) compatible API, allowing tools created in Dify to be accessed from MCP clients like Cherry Studio.

An open standard server implementation that enables AI assistants to directly access APIs and services through Model Context Protocol, built using Cloudflare Workers for scalability.

Enables AI assistants to interact with Dev Proxy for creating configurations, finding documentation, and discovering best practices via the MCP standard.

This server facilitates scalable discovery and execution of OpenAPI endpoints using semantic search and high-performance processing, overcoming limitations of large spec handling for streamlined API interactions.

MCP server that exposes Strapi v5 content management, visual layout configuration, schema authoring, media uploads, and GraphQL testing to LLM clients via native Strapi API tokens with security hardening.

Lets AI assistants safely explore a Matrix42 instance by discovering web services and the data model, running validated ASQL queries, searching the service desk, and previewing ticket actions — read-only by default and without exposing credentials.

Enables AI assistants to query API documentation from Eolink Apikit instances via the Eolink Open API, supporting listing projects, groups, searching APIs by keyword/path, and retrieving detailed API definitions.

Enables agents to interact with the Logflare API by writing JavaScript functions that run in a Vercel Sandbox, using three tools: search, execute_read, and execute_write.

Enables AI assistants to discover API endpoints, inspect required parameters, and make authorized API calls through the Just One API platform.

Run the requests in a Postman collection folder and get structured, assertion-level results back straight from your AI assistant.