"Advanced Engineering Fundamentals: Structural, Materials, Dynamics, and Thermodynamics" matching MCP servers:

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.

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.

A high-performance, multi-protocol API mock server with 18 built-in MCP tools for managing HTTP, GraphQL, gRPC, WebSocket, MQTT, SSE, and SOAP mocks, chaos engineering, stateful CRUD resources, and request verification.

Enables MCP clients to manage YApi projects and interfaces, including searching and creating APIs, editing mock response bodies and advanced mock scripts, managing mock expectations, and testing mock URLs.

Exposes add, subtract, multiply, and divide tools for performing arithmetic operations over stdio via the Model Context Protocol.

Exposes FastAPI routes as MCP tools with auto-discovery, Pydantic schema extraction, and built-in observability.

MCP server for loading and exploring OpenAPI/Swagger specifications, enabling AI assistants to dynamically browse API contracts by loading specs, searching endpoints, inspecting schemas, and retrieving operations.

A TypeScript-based MCP server that provides backend API handling and facilitates communication between microservices. Features an organized structure with controllers, routes, and models for easy extensibility and maintenance.

An Intelligent Model Context Protocol server that generates mock servers from OpenAPI specifications, featuring advanced logging, performance analytics, and server discovery for AI-assisted API development.

MCP server for REST API reverse engineering from HTTP traffic captures, wrapping mitmproxy for live capture and mitmproxy2swagger for spec derivation.

Introspects a Django REST API's OpenAPI schema and exposes each endpoint as an MCP tool, enabling Claude or any MCP client to interact with the API via natural language.

A utility tool that analyzes Next.js application routes and provides detailed information about API paths, HTTP methods, parameters, status codes, and request/response schemas.

A Model Context Protocol server that enables LLMs to interact with GraphQL APIs by providing schema introspection and query execution capabilities.

A server that provides direct connection to Wind API through MCP interface, allowing HTTP or SSE-based access to financial data functions like wsd, wss, and wsq without requiring additional socket servers.

Enables validating API responses against expected schemas/JSON and listing OpenAPI endpoints to enforce API contracts between services.

Turns any OpenAPI/Swagger spec into queryable tools for LLMs, enabling endpoint search, detail retrieval, and schema exploration.

Provides AI agents and LLMs access to the Tesy 56 API through standardized MCP tools for seamless integration and interaction with Tesy 56 endpoints.

An MCP server that provides AI agents and LLMs with standardized tool access to the ICON MCP v109 API. It supports asynchronous operations and simplifies deployment through Docker and Docker Compose.

Validates JSON payloads against JSON Schema deterministically, providing precise validation results and error paths.

Provides AI agents and LLMs access to the Nikola TEST MCP API through standardized MCP tools for seamless integration and interaction.