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    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.
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    Sleepycat
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    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
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    MIT
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    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.
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    MIT
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    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.
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    MIT
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    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.
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    MIT
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    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.
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    MIT
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    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.
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    MIT
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    An MCP server that automatically converts OpenAPI specifications into MCP tools by scanning a folder for spec files, requiring no configuration files or separate servers.
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    MIT
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    Enables uploading and managing Postman collections, environments, and data files for API testing. Integrates with AI hosts via Model Context Protocol for test execution and result management.
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    MIT
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    An MCP server for calling gRPC methods from AI agents, enabling them to inspect gRPC APIs and invoke unary RPCs using server reflection or local .proto files.
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    MIT
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    A Bun-based MCP server that allows AI models to query Swagger/OpenAPI documentation from local files or remote URLs. It enables users to search for APIs, retrieve detailed endpoint definitions, and fetch schemas to facilitate code generation and API integration.
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    MIT
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    Provides tools for AI assistants to access the Agent Web Protocol (AWP) specification, validate agent.json files, and generate protocol-compliant configurations. It enables developers to integrate the AWP standard into their websites through natural language prompts and automated validation.
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    2
    MIT