"Using Jira MCP to comment on subtasks, read descriptions, and create a test plan" matching MCP servers:

An end-to-end test MCP server built with FastMCP that exposes a REST API as a set of tools for AI agents. It enables LLMs to perform CRUD operations on an upstream API by mapping HTTP methods to MCP tools.

A Model Context Protocol (MCP) server that enables interaction with JIRA APIs through Claude Desktop, allowing users to search, create, update, and manage JIRA issues using natural language commands.

Auto-generates MCP tools from your OpenAPI spec, allowing natural language interaction with any API via configurable headers and serverless deployment.

A bridge that enables any LLM to access and interact with documented REST APIs through the Model Context Protocol (MCP).

A minimal MCP server that auto-generates tools from your OpenAPI spec, optimized for Vercel.

基于fastmcp-ts开发的接口测试mcp工具，ai可以通过调用该工具对接口进行测试。

A standalone proxy that transforms any OpenAPI or Swagger-described REST API into an MCP server by mapping API operations to executable MCP tools. It enables AI clients to interact with existing web services through automated HTTP requests based on their official documentation.

Automatically converts Swagger/OpenAPI specifications into dynamic MCP tools, enabling interaction with any REST API through natural language by loading specs from local files or URLs.

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

Provides AI agents and LLMs access to the Nikola TEST MCP API through standardized MCP tools for seamless integration and interaction.

A Spring Boot REST API testing server that supports functional testing with assertions, database queries, and performance testing with configurable concurrency and stress testing.

An MCP server that mocks payments, third-party API responses, and test data to enable QA flows for donation, checkout, SIP, and subscription pages without depending on a live gateway.

Provides AI agents and LLMs access to the test 12 API (Petstore Swagger) through standardized MCP tools for seamless integration and interaction.

Enables AI agents and LLMs to interact with the TEST MCP USDT API through standardized tools using the Model Context Protocol. It provides a containerized environment for executing USDT-related API operations and asynchronous tool handling.

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

MCP server that fetches API responses and generates ready-to-use model/POJO classes in your configured language, with built-in login/refresh token handling.

A tool that creates MCP (Model Context Protocol) servers from OpenAPI/Swagger specifications, enabling AI assistants to interact with your APIs.

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.

A simple HTTP server to validate MCP infrastructure for the Wazza MCP client, exposing endpoints for tool discovery and calling.

An MCP server that enables AI agents and LLMs to interact with the Test MCP Server Feb6 USDT API through standardized tools. It provides features such as Docker support and async operations for efficient integration.