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"Understanding HTTP Requests" matching MCP servers:

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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.
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    MIT
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    HTTP-4-MCP configuration tool allows you to easily convert HTTP API into MCP tool, writing the code written. Through simple interface operation, you can quickly configure an mcp-server.
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    16
    Mulan Permissive Software , Version 2
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    A minimal MCP server that enables HTTP requests with any method, headers, and body types, supporting large responses through chunked transfers with disk-backed caching.
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    MIT
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    Enables AI coding assistants to access the internet through VPN exit nodes to bypass geo-restrictions and avoid rate limits. It allows users to route HTTP requests through various global regions and manage VPN connections directly within MCP-compatible clients.
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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.
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    MIT
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    MCP server fronting a self-hosted coordination-bus HTTP API: post/read/claim/release/heartbeat.
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    MIT
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    Enables hosts and couples to plan event music using Vibo by browsing events, managing song requests, and exporting selections to Spotify/Apple Music via natural language.
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    MIT
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    Built-in MCP server in the FluxDown download manager: a Streamable HTTP endpoint (POST /mcp, JSON-RPC 2.0, Bearer auth) exposing 9 tools to add, list, pause, resume, and remove HTTP/FTP/BitTorrent/HLS downloads and manage queues.
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    820
    AGPL 3.0
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    A lightweight, local-first MCP server for executing HTTP requests and managing API collections and environments without cloud dependencies. It enables testing APIs, handling authentication, and importing OpenAPI specifications directly within MCP-compatible workflows.
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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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    Enables interaction with any REST API through token or login authentication, with automatic Swagger/OpenAPI documentation integration for endpoint discovery and comprehensive HTTP request support.
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    A Model Context Protocol server that enables AI assistants to make HTTP requests (GET, POST, PUT, DELETE) to external APIs through standardized MCP tools.
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    MIT