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    A TypeScript-based MCP server that enables AI assistants to execute HTTP requests with full control over methods, headers, and body content. It facilitates seamless interaction with web APIs and endpoints through a versatile tool that handles automatic JSON formatting and response truncation.
    1
    MIT
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    Integrates AppsFlyer analytics data with AI assistants, allowing users to fetch various aggregate data reports from AppsFlyer Pull API with secure authentication.
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    MIT
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    An MCP server that allows Copilot Studio and GitHub Copilot to generate different types of jokes (Chuck Norris, Dad jokes, etc.) on user request through Model Context Protocol integration.
    MIT
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    A secure middleware that intercepts AI agent tool calls to evaluate risks and manage human-in-the-loop approvals via durable Inngest workflows. It ensures compliance with standards like the EU AI Act by pausing high-risk actions until authorized by a human reviewer.
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    Triggers predefined functions based on specific usecases including data analysis, text processing, mathematical calculations, file operations, and web request simulations through natural language prompts.
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    A Human-in-the-Loop MCP server that enables AI assistants to request information or clarification from humans via Slack. It uses real-time, thread-based conversations with socket mode integration to bridge the gap between AI systems and human experts.
    6
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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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    An MCP server that implements a multi-stage employee access request and approval workflow, enabling employees to request system access and managers/IT admins to approve or reject requests through an interactive UI.
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    A server that integrates Claude AI with ServiceNow, enabling incident creation, service request management, email handling, and catalog browsing through natural language.
    7
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    Enables LLMs to make HTTP requests using structured cURL commands with support for multiple authentication methods, custom headers, and comprehensive request/response control.
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    13
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    MIT
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    Enables AI assistants to request human input through interactive GUI dialogs with quiz-style questions, supporting multiple choice and free-form responses for clarification, decisions, and knowledge extraction.
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    Connects Claude to OpenReview to facilitate conference reviewer and area chair workflows through the Model Context Protocol. It enables users to manage paper assignments, read submissions and reviews, and perform write actions like submitting reviews or comments using a preview-and-confirm system.
    13
    MIT