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API Testing

Tools for testing, validating, and documenting APIs. Enables creation and execution of API requests, validation of responses, and management of API collections.

MCP ServersBrowse all →

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    MCP server for mockzilla. Lets coding agents (Claude Desktop, Cursor, etc.) install the mockzilla CLI, stand up API mocks from an OpenAPI spec or a single endpoint, and — with an account — deploy hosted mocks on mockzilla.org.
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    Turn any OpenAPI 3.x spec into a runnable, stateful API environment for AI agents. Test real integration flows — multi-step workflows, persistent state, webhook delivery, retries, and edge cases — instead of guessing from docs or mocking endpoints. Generate committable markdown reports directly from Claude/Cursor. Includes 50+ pre-validated APIs like Stripe, GitHub, Twilio, OpenAI, and more.
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    Mercado Pago's Official MCP Server offers tools so that developers can easily interact with our API using natural language, which simplifies tasks and product integration. Remotely hosted by Mercadolibre supporting Streamable HTTP Transport. Details on how to connect: https://mcp.mercadopago.com/
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    Apache 2.0
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    A Model Context Protocol server enabling AI assistants to interact with Kong Konnect's API Gateway, providing tools to query analytics data, inspect configurations, and manage control planes through natural language.
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    Apache 2.0
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    Postman’s remote MCP server connects AI agents, assistants, and chatbots directly to your APIs on Postman. Use natural language to prompt AI to automate work across your Postman collections, environments, workspaces, and more.
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    Apache 2.0
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    The API layer for AI agents. World's biggest API index with 22,000+ APIs and growing. Agents discover and call APIs at runtime with semantic search, structured metadata, and 18 Direct Call APIs including AI providers.
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    MCP server for API test case generation from Swagger/OpenAPI specs. Parses Swagger 2.0 and OpenAPI 3.x, generates test cases across 8 categories (positive, negative, boundary, auth, security, idempotency, pagination, business logic), and exports to Postman, TestRail, Allure, k6, pytest, Gherkin, and CSV. Supports internal corporate APIs with auth headers. Auto-saves export files to your working di
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    Provides Model Context Protocol tools for interacting with eToro's public API endpoints, allowing users to fetch portfolios, look up instrument details, and search for instruments while handling CORS restrictions.
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    Exposes ProxyPin's local network capture history to MCP-capable clients for searching, analyzing, and detailing captured HTTP traffic. It enables users to perform API structure analysis and generate client-side code directly from captured requests.
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    A Model Context Protocol (MCP) server for interacting with Atlassian Jira. Connect AI assistants like Claude, Cursor AI, and others directly to your Jira projects, issues, and workflows.
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    🚀 Active Fork of executeautomation/mcp-playwright This repository is an actively maintained continuation of the original MCP Playwright server: >👉 https://github.com/executeautomation/mcp-playwright A Model Context Protocol server that provides browser automation capabilities using Playwright.
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    Enables interaction with Webhook.site to create, manage, and monitor endpoints for capturing HTTP requests, emails, and DNS lookups. It provides 16 tools for testing webhooks and inspecting incoming data through the Model Context Protocol.
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    Enables querying sleep, readiness, and resilience data from the Oura API via the Model Context Protocol (MCP), allowing natural language interaction and seamless integration with tools like Claude.
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    A Model Context Protocol server that enables LLMs to interact with all MonkeyType API endpoints, providing access to typing test data, user profiles, leaderboards, and statistics through natural language.
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    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
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    Enables AI assistants to automatically manage Apifox API documentation by importing OpenAPI/Swagger specifications and exporting existing API structures. Supports batch operations, intelligent deprecation marking, and smart scope detection for partial module imports.
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