"C# Azure .NET development assistance" matching MCP servers:

Enables developers to access kintone API specifications, field type documentation, and development best practices through natural language queries. Supports API request validation and provides comprehensive development guidance for kintone customizations.

Exposes backend APIs through Azure API Management as an MCP server to enable AI assistants to interact with product catalogs and order systems. It provides standardized tools for searching products, retrieving details, and managing orders via the Model Context Protocol.

Automated QA for .NET microservice backends and React frontends, enabling API contract testing, UI crawling, YAML flows, and run diffing against a stage environment.

A TypeScript-based MCP server that enables testing of REST APIs through Cline. This tool allows you to test and interact with any REST API endpoints directly from your development environment.

Enables LLMs to send HTTP requests to a local development server, allowing interaction with APIs running on localhost.

Enables AI assistants to fetch and understand API endpoint definitions from Apifox projects in real-time. Supports retrieving complete API specifications including request methods, parameters, headers, and response schemas to improve development efficiency and code generation quality.

Enables AI agents to create disposable webhook URLs, capture incoming HTTP requests, inspect headers and bodies, and replay them against local or remote endpoints, streamlining the webhook handler development loop.

Manages project standards, configurations, and API debugging for AI-assisted development, ensuring unified development practices across teams and machines.

Integrates Postman with Cursor IDE to manage collections and requests through natural language. It features specialized tools for automatically migrating API endpoints and metadata directly from .NET controller code into Postman collections.

Exposes the Hookbase webhook relay API as tools for AI assistants to manage sources, destinations, routes, and events through natural language. It enables monitoring webhook success rates, replaying failed deliveries, and managing localhost tunnels for development.

Enables AI assistants to manage API endpoints, environments, and testing workflows through the GASSAPI backend. Provides semantic documentation tools for endpoint cataloging and automated flow creation for backend-to-frontend development workflows.

Enables AI assistants to configure and manage session-based REST and WebSocket mock servers for application development and testing. It allows for dynamic endpoint setup, request history inspection, and real-time WebSocket communication through natural language commands.

Comprehensive API development and testing MCP server for Claude Code. Integrates OpenAPI parsing, testing, SDK generation, and documentation generation into Claude workflows.

An MCP server for checking OWASP Top 10 vulnerabilities during API development testing. It analyzes API information and returns security assessment results to help developers identify potential security issues.

A Model Context Protocol server that loads multiple OpenAPI specifications and exposes them to LLM-powered IDE integrations, enabling AI to understand and work with your APIs directly in development tools like Cursor.

A Model Context Protocol server that allows AI development tools like Cursor and Claude Desktop to retrieve detailed YAPI interface information by interface ID.

This is an MCP server that facilitates building tools for interacting with various APIs and workflows, supporting Python-based development with potential for customizable prompts and user configurations.

A microservice control plane server that integrates with Windsurf IDE by fetching API information from Eolink OpenAPI and exposing it as MCP resources, enabling seamless API integration and management in the development environment.

A microservice control plane server that fetches API information from Feishu OpenAPI and provides it to Windsurf IDE, enabling seamless API integration and management within your development environment.

A Model Context Protocol server that generates and runs mock API servers from API documentation like OpenAPI/Swagger specs, enabling developers and AI assistants to quickly spin up mock backends for development and testing.

Enables agents to scaffold, build, run, and verify libuvcpp-powered C++ web services end to end, driving real HTTP/1.1, HTTP/2, WebSocket, SOAP, and load requests over live sockets. Returns verification bundles that clearly separate what was observed, what was derived, and what could not be established.

Enables AI assistants to interact with Magic-API development environment, supporting script syntax query, API management, debugging, and knowledge search for efficient development.

Enables testing and interacting with any REST API endpoints directly from development environments through MCP clients, including support for multiple HTTP methods, authentication methods, custom headers, SSL verification control, and response size limiting.

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.

Enables AI agents to develop SAP Cloud Integration content by editing iFlows, Groovy scripts, and XSLT locally, validating and checking them, then pushing, deploying, and testing on development tenants. It supports package and artifact inspection, model-level diffs, script and XSLT runs, and tenant message testing with safety controls.

Connects external APIs like Open-Meteo and AgroMonitoring to your development environment through URI-like requests, allowing access to live data directly in MCP-compatible tools.

Enables users to test and interact with any REST API endpoints directly from their development environment through MCP clients such as Claude and Cline. Supports GET, POST, PUT, DELETE, and PATCH requests with configurable authentication, custom headers, SSL verification, and response size limits.

Provides comprehensive development tools for Magic-API including documentation lookup, API testing, resource management, debugging with breakpoints, backup operations, and code search capabilities. Enables developers to efficiently build, test, and maintain Magic-API projects through natural language interactions.

Provides HTTP/JSON access to all Privateness CLI functionality for cryptocurrency wallet management, transactions, and blockchain operations. Enables team development workflows by exposing 40+ privateness-cli commands through REST API endpoints.

Provides AI assistants with access to AegisX UI components, CRUD generator commands, development patterns, and API contract discovery tools. It enables developers to browse component documentation, build generation commands, and test authenticated API endpoints through the Model Context Protocol.