"Methods to Test API Endpoints" matching MCP servers:

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 management of TestMu AI test projects, test cases, test runs, and integration with Jira, HyperExecute, and AI insights through natural language.

Enables AI agents to call real API endpoints and verify responses against OpenAPI specs, supporting contract testing, auth presets, spec diffing, and health checks.

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

Enables interaction with Frappe and ERPNext sites through their REST API endpoints. It supports standard HTTP methods for performing CRUD operations and managing site data using natural language.

Enables users to convert text into high-quality audio by accessing the OpenAI Text-to-Speech API. It supports customizable model selection and voice options for synthesized speech generation via the MCP protocol.

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 provides standardized tools for AI agents to interact with the Test MCP Feb4 API. It enables LLMs to access API endpoints through asynchronous operations and standardized Model Context Protocol tools.

Converts any REST API endpoints into MCP tools, enabling AI clients like Cursor and Claude Desktop to call internal services directly.

MyChart MCP Server

Serves the Pancake API documentation to AI assistants, enabling them to search endpoints, retrieve full API contracts, webhook payloads, and guides without live API access.

Parses Swagger 2.0 and OpenAPI 3.x specifications, exposing API endpoints, schemas, and authentication through MCP tools with local caching to reduce token usage.

Exposes OpenAPI/Swagger API documentation as MCP tools, enabling AI agents to search, inspect, and call API endpoints through natural language.

Enables AI clients like Claude to read and manage Microsoft To Do task lists and tasks via the Microsoft Graph API, running locally over stdio with secure token storage.

Code Mode MCP server for the OVH API. Two tools (search + execute) give LLMs access to all OVH endpoints via sandboxed JavaScript.

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.

MCP server for GoHighLevel documentation, enabling agents to search docs, list endpoints, and fetch focused API details without loading large files.

Test coverage intelligence MCP server for TypeScript and JavaScript projects. Analyzes coverage reports to find untested functions, computes cyclomatic complexity, and suggests test cases locally.

Text-to-speech MCP server that enables AI assistants to read text aloud on the user's computer using Windows SAPI, with no API key or cloud service required.

Auto-generates and manages test cases for any project from feature descriptions, with tools for adding, listing, updating, and exporting test cases via Claude.