"Methods to Test API Endpoints" matching MCP servers:

Converts REST API code (like NestJS controllers or FastAPI endpoints) to Postman collections and environments, helping developers automatically sync their API endpoints with Postman.

Acts as a bridge between standard REST/OpenAPI web APIs and the Model Context Protocol, dynamically converting REST endpoints into MCP tools for LLM clients like Cursor, Claude Desktop, and n8n.

An MCP server that automates Playwright-based UI and API testing, supporting test case generation from requirements or API specs, and execution with detailed reports.

Dynamically converts any API with an OpenAPI v3 specification into MCP tools for AI assistants. It supports multiple authentication methods including OAuth2, Bearer tokens, and API keys for flexible integration.

Enables discovery, registration, and management of external API endpoints through natural language, supporting multiple authentication methods (public, API key, bearer token) with automatic endpoint testing and documentation parsing.

Automatically converts any OpenAPI specification into an MCP server, exposing all HTTP endpoints as callable tools with support for various authentication methods and request types.

A unified local API gateway providing caching, rate limiting, and full Model Context Protocol compatibility for AI agent integration. It enables users to aggregate multiple API endpoints into a single gateway with built-in observability and customizable eviction strategies.

Enables agents to convert Markdown into WhatsApp-compatible formatting, including styled text, lists, and tables that fit a phone's monospace width.

Enables LLMs to make HTTP requests using structured cURL commands with support for multiple authentication methods, custom headers, and comprehensive request/response control.

Enables AI agents and scripts to read and manage events on your account — guest lists with questionnaire answers, CSV export, check-in, approvals, invites and Text Blasts — through your own signed-in Chrome session, with no public API or official integration required. Runs locally over stdio, streamable HTTP, a REST API with OpenAPI docs, and a Python client.

Real-time last-minute tour and activity booking across 18 suppliers in 15 countries via the OCTO open standard. Search available slots, create Stripe checkout sessions, and check booking status.

Enables MCP clients to turn Make blueprints and Zapier exports into n8n workflow files, with a per-step report of what converted, what to review, and what must be finished by hand. Also lists zaps, explains how individual steps are handled, checks workflow files for broken links or placeholders, and can upload the result to an n8n instance as an inactive workflow.

Enables AI agents to create callback endpoints, wait for async webhook results, and verify signatures, eliminating the need for polling.

MCP server exposing autobrr's full API as tools, enabling LLMs to read and manage filters, indexers, feeds, clients, actions, releases, and system config. It wraps approximately 104 endpoints into 13 resource-scoped tools for comprehensive autobrr instance management.

AI-driven mobile app testing via MCP, enabling AI coding agents to test Android apps without test frameworks or testIDs.

Minimal MCP server for sending messages to Poke via the inbound webhook.

A generic MCP server that dynamically exposes any OpenAPI-documented REST API to LLMs by auto-discovering endpoints. It provides tools for exploring API capabilities and making authenticated requests directly through natural language interfaces.

Enables loading, reviewing, and redacting sensitive content in PDF documents through text-based or area-based redaction methods. Supports customizable redaction appearance and saves redacted PDFs with comprehensive error handling.

Converts any OpenAPI/REST API into MCP tools with dynamic server switching, variable substitution, and runtime configuration. Enables seamless interaction with multiple API environments through natural language without pre-configuration.

Kontur Diadoc API for AI assistants: legally significant document exchange, signing, counteragents, machine-readable powers of attorney and docflow status. 114 methods, each with a read/write/destructive safety class.

A TypeScript-based MCP server that enables AI assistants to execute HTTP requests with full control over methods, headers, and body content. It facilitates seamless interaction with web APIs and endpoints through a versatile tool that handles automatic JSON formatting and response truncation.

Create disposable email inboxes, extract OTP codes in 15 languages, and receive webhooks — all from your AI agent. One call: create inbox → wait for email → get the verification code. Supports 7 domains, email forwarding, and HMAC-signed webhooks with OTP included in payload. Free tier available.

Point Claude at any API. JitAPI figures out which endpoints to call and in what order — automatically. Register any OpenAPI spec, search endpoints in plain English, and orchestrate multi-step workflows across multiple APIs. No API keys required — works out of the box with local embeddings.

noname API for AI assistants: vacancy search and publishing, applications, resumes, dictionaries and salary statistics. 133 methods from the official OpenAPI spec, each with a read/write/destructive safety class.

Gryzzly time tracking: log time in plain language (project names, "2h30", "yesterday"), weekly timesheets with missing-day detection, and all 50 Gryzzly v1 API endpoints.

Enables AI agents to programmatically inspect, test, and validate other MCP servers by exposing MCP Workbench capabilities as structured tools. It supports automated test spec generation, execution, and detailed failure analysis to ensure server reliability.

The best free social media publishing and scheduling API. Publish to 11 platforms from a single API call. Schedule posts, upload media, track analytics, and automate your social media workflow.

A specialized testing harness that enables AI assistants to thoroughly test other MCP servers by connecting to them, discovering their tools/resources/prompts, executing test calls, and performing end-to-end validation with LLM integration.

An MCP server that enables Claude Code to visually test and control iOS simulators, Android emulators, and real devices through 22 automation tools. It automatically generates test reports with screenshots for mobile app testing directly from the terminal.

An MCP server that exposes the QMetry Test Management for Jira Cloud REST API as tools for MCP-compatible clients. It enables users to manage test cases, test cycles, test executions, test plans, folders, and automation rules through natural language interactions.