"files and folders" matching MCP servers:

MCP server that validates dashboardbase setup files and widget endpoint responses against the dashboardbase JSON contract, reporting errors and warnings before deployment.

Validates OpenAPI specs from files, inline content, or URLs, and generates prompts for agent developers based on the API analysis.

Enables local analysis of OpenAPI 3 and Swagger 2 JSON/YAML spec files on disk, with no remote fetching of specs or credentials. It groups endpoints by tag, flags operations that appear to lack security, lists deprecated operations, and produces short markdown cheat sheets for agents.

An MCP server for parsing and analyzing HAR files, enabling AI assistants to inspect network traffic with automatic redaction of sensitive authentication headers.

Enables AI agents to create, run, and save API requests and collections as local Gud API files, which are git-committable and viewable in VS Code-compatible editors.

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

Generates comprehensive API test plans (positive, negative, and boundary/edge cases) from endpoint metadata using LLMs, and exports them as Excel files.

Discovers, inspects, and executes requests against OpenAPI or Swagger APIs directly from documentation URLs or specification files. It enables users to trace parameter usage across an API and perform authenticated HTTP requests through a structured toolset.

A Model Context Protocol server that creates tools from API configurations defined in YAML files, allowing easy integration of external APIs into an MCP ecosystem without coding.

A Model Context Protocol (MCP) server that provides seamless integration with the Postman API, enabling AI assistants and applications to interact with Postman workspaces, collections, requests, environments, and folders programmatically.

Automatically converts Swagger 2.0 API specifications into MCP tools, enabling AI assistants to directly call REST APIs. Supports both local Swagger files and remote URLs with comprehensive parameter validation and error handling.

A configurable MCP server that adapts any HTTP API into an MCP toolset with generic HTTP tools (GET, POST, PUT, DELETE) and pluggable authentication. Includes API discovery scripts and supports dynamic tool generation from OpenAPI specs or wordlist scans.

A Model Context Protocol (MCP) server that enables AI assistants to download files from URLs to the local filesystem.

Generates API documentation in Confluence from Swagger/OpenAPI specs or NestJS controller files, including automatic Postman collection generation.

Implements a secure MCP server with API Key and JWT authentication, providing tools like echo, login, secure_action, and admin_action. Includes MCP Inspector integration for testing and debugging.

Integrate Claude with Any OpenAI SDK Compatible Chat Completion API - OpenAI, Perplexity, Groq, xAI, PyroPrompts and more.

An MCP server providing complete access to the RequestRepo toolset for managing HTTP requests, DNS configurations, files, and pings. It enables users to capture, inspect, and share web requests and DNS records directly through AI clients.

Exposes SOAP-based web services as MCP servers by parsing WSDL files. Enables AI assistants to interact with legacy SOAP/WS-\* web services through the Model Context Protocol.

An MCP server for Apidog that enables listing projects, inspecting API trees, creating modules and folders, and adding or updating requests without manual configuration.

Dynamically creates an MCP server from ServiceStack API metadata configuration files, exposing typed REST APIs as MCP tools with support for filtering by tags or specific operations.