"A server for testing APIs" matching MCP servers:

An MCP Server for Node.js API documentation

Provides AI assistants with specialized tools to interact with NIST's Open Security Controls Assessment Language (OSCAL) framework. It enables agents to retrieve schemas, explore models, and generate valid OSCAL documentation for security compliance automation.

A comprehensive MCP server providing arithmetic tools, dynamic file resources for frontend/backend documentation, reusable prompt templates for code review/debugging/testing, and complete development workflow management from requirements to deployment.

MCP server that provides tools for exploring and testing APIs through Swagger/OpenAPI documentation.

A Model Context Protocol (MCP) server that provides comprehensive documentation and usage examples for the AutoFixture testing library.

Enables querying documents through a Langflow backend using natural language questions, providing an interface to interact with Langflow document Q\&A flows.

Helps migrate projects from AI SDK 4.x to 5.0 by generating a migration checklist and searching the official migration guide for code and data changes.

A tool that helps users conduct comprehensive research on complex topics by exploring questions in depth, finding relevant sources, and generating structured, well-cited research reports.

A Python-based MCP server that enables document-based question answering by processing PDF, TXT, and Markdown files through OpenAI's API. It provides hallucination-free responses based strictly on document content using semantic search and includes a web interface for management.

Fetches and parses Swagger/OpenAPI documentation from URLs, cleans and optimizes it to reduce token consumption, and provides standardized API descriptions to intelligent IDEs for suggestions, auto-completion, and code generation.

Provides comprehensive development tools for Magic-API including documentation lookup, API testing, resource management, debugging with breakpoints, backup operations, and code search capabilities. Enables developers to efficiently build, test, and maintain Magic-API projects through natural language interactions.

A Model Context Protocol server that fetches detailed API documentation from a local platform using a document ID. It enables language models to retrieve specific endpoint specifications to assist with tasks like code generation and API integration.

Keyless directory of 2,500+ public APIs and their OpenAPI specs, enabling AI agents to discover and interact with APIs.

A comprehensive reference implementation demonstrating all features of the Model Context Protocol (MCP) specification, serving as documentation, learning resource, and testing tool for MCP implementations.

Enables AI assistants to interact with OpenAPI documents for analysis, validation, and management through structured interfaces.

Provides AI assistants with live, searchable documentation for any programming library, eliminating hallucinated APIs by returning current, structured API references.

An MCP server that retrieves and cleans official documentation for popular AI/Python libraries via web search and LLM processing, exposing a get_docs tool.

A collection of MCP servers for Slack, Jira, Confluence, and release coordination to automate QA workflows and daily release status reporting.

A read-only MCP server for ServiceNow that provides deep visibility across multiple instances via query, schema inspection, identity, workflow, and code search tools.

Exposes Xiaofenshen's public read-only APIs as MCP tools, enabling agents to read shared content, list image prompt templates, and fetch product documentation.