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    Enables AI agents to create, run, and manage HTTP requests using the Invoker API client's .ivk format. It provides tools for scanning collections, executing requests, managing environments, and building documentation sites.
    9
    27 npm
    MIT
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    🚀 Active Fork of executeautomation/mcp-playwright This repository is an actively maintained continuation of the original MCP Playwright server: >👉 https://github.com/executeautomation/mcp-playwright A Model Context Protocol server that provides browser automation capabilities using Playwright.
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    Enables running Postman collections using Newman for conducting API tests and obtaining detailed result analysis via a standardized interface.
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    50 npm
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    MIT
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    This is an MCP server that facilitates building tools for interacting with various APIs and workflows, supporting Python-based development with potential for customizable prompts and user configurations.
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    Enables agents to discover and invoke operations from any OpenAPI service by managing deployments, authentication, and request building.
    MIT
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    An MCP server for validating JSON against schemas, checking email deliverability, verifying URLs, assessing data quality, and validating API responses using RFC-compliant checks and heuristic analysis.
    4 npm
    40 PyPI
    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.
    31 npm
    1
    MIT
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    Middleware that converts a serverless handler with OpenAPI spec into an MCP endpoint following stateless MCP principles.
    10 npm
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    MIT
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    Enables building and testing MCP-style tool servers by exposing list_tools and call_tool over stdio or HTTP with local stub tools such as echo, get_time, and fake_crm_lookup.
    MIT
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    Enables AI agents to dynamically discover and interact with APIs through Swagger/OpenAPI specifications and Postman collections using a strategic four-tool approach. It streamlines API integration by providing universal tools for endpoint discovery, detailed request information, and authenticated execution.
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    A template for building MCP servers from OpenAPI specifications, enabling automatic conversion of any REST API into LLM-accessible tools with built-in authentication and validation.
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    Production-ready API server template integrating FastAPI with Model Context Protocol (MCP) for LLM integration, structured logging, and comprehensive testing.
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    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.
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