"Android Studio Development Platform" matching MCP servers:

Enables AI agents to create, edit, read, and run Bruno API collections (both .bru and .yml formats) with byte-parity to Bruno's own reader, without requiring the Bruno CLI.

An MCP server that demonstrates converting a safe OpenAPI subset into MCP tools and interactive apps, using the GitHub API as an example. It provides three GitHub tools with summary, table, and ranking views.

Enables AI agents to securely list, retrieve, and search Freshdesk support tickets through typed read-only MCP tools. It supports API-key authentication, rate-limit handling, safe logging, and an offline fictional demo mode.

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.

An LLM-driven API testing platform exposed over MCP, enabling declarative test definition and DAG-based execution.

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.

Enables an MCP client to control Android emulators and iOS simulators, capture app traffic through a proxy, mark journey steps, and generate validated, correlated, parameterised JMeter scripts from the recordings.

yop-mcp 是一个专为易宝支付开放平台(YOP)设计的 MCP (Model Context Protocol) Server，提供了一套完整的工具函数，帮助开发者通过AI助手（如Claude、Cursor等）更便捷地获取YOP平台的相关信息、生成密钥对、下载证书等操作。

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

MCP server for integrating with Hilo, the WhatsApp messaging platform. It provides API contracts, verification tools, and a guided plan for agents to build the integration.

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.

An MCP server that enables Claude to interact with Tembo Cloud platform API, allowing users to manage Tembo Cloud resources through natural language.

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.

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

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 direct integration with YApi API documentation platform in MCP-compatible editors like Cursor, allowing users to query API details, list interfaces, and search endpoints by simply pasting YApi URLs.

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.

Provides implementation guidance, code validation, and troubleshooting tools for Searchspring's e-commerce APIs including search, autocomplete, recommendations, and tracking. Helps developers properly integrate Searchspring functionality with platform-specific code examples and best practices.

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 (MCP) server for YAPI API Platform integration. Enable AI assistants to interact with YAPI seamlessly.

An MCP server for the YAPI interface management platform that enables users to manage projects, categories, and API interfaces. It supports querying project details, listing interfaces, and creating or modifying API documentation through natural language.

Goodday‑MCP is a lightweight Model Context Protocol (MCP) server designed to seamlessly integrate with the Goodday project management platform via its API v2. It enables querying of projects, tasks, and users—without altering any data—making it ideal for secure context-aware applications

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.

Provides basic diagnostic and information tools for Apifox API management platform, including token validation, project access checks, and explanations of API limitations due to Apifox's restricted Open API.

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.

A Model Context Protocol server that enables AI assistants like Cursor to interact with Testomatio test management platform, allowing users to query test cases, runs, and plans through natural language.

All-in-one automation platform for AI agents, providing browser automation, API testing, debugging, and testing tools via the MCP protocol.

Lets AI agents search 170 Bilibili open-platform docs and 100 endpoints, then build 2.0 HMAC-SHA256 signatures, run OAuth2 flows, plan video uploads, verify webhooks, and call live-room WebSocket protocols. Also handles cookie-based web requests with automatic csrf and wbi signing, plus code generation, error-code lookup, and sandbox mocks.

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

Enables AI assistants to describe, configure, and invoke structured-output LLM endpoints on the ShapeShyft platform, managing entities, projects, keys, analytics, and usage.

Enables users to convert any OpenAPI or Swagger spec URL into a hosted MCP server on the Agentic Tools Platform, with tools for analyzing, trimming, and managing OpenAPI specifications.

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.