"Understanding HTTP Requests" matching MCP servers:

Enables MCP clients to perform HTTP GET requests to arbitrary URLs and receive response details.

Integrates Xiaomi MiMo's multimodal API to enable understanding of images, audio, and video through natural language prompts.

Web Content Retrieval (full webpage, filtered content, or Markdown-converted), Custom User-Agent, Multi-HTTP Method Support (GET/POST/PUT/DELETE/PATCH), LLM-Controlled Request Headers, LLM-Accessible Response Headers, and more.

Provides a generic HTTP client tool allowing AI agents to make arbitrary HTTP requests from their environment, with support for environment-variable placeholders for secrets.

Read-only MCP server for self-hosted Confluence that lets AI agents search pages, fetch content, and navigate page trees via the REST API.

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.

Universal HTTP client tool for LLM agents. Enables Claude and other MCP-compatible agents to perform GET, POST, PUT, DELETE, and other HTTP requests to any URL, including localhost and internal network addresses.

MCP server for Wiki.js that exposes 29 tools for managing pages, comments, tags, assets, users, navigation, and more via HTTP/SSE with built-in mutation safety.

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 enables AI assistants to make HTTP requests (GET, POST, PUT, DELETE) to external APIs through standardized MCP tools.

Enables interaction with Jenkins servers through HTTP APIs, allowing users to list jobs, trigger builds, view logs, and manage configurations without requiring plugins or admin access.

A demonstration MCP server that provides example tools for weather queries, time retrieval, and request handling, along with advice prompts. Supports both HTTP and stdio modes for testing MCP client integrations.

Enables automatic HTTP requests (GET, POST, PUT, DELETE, etc.) with JSON validation and proxy support. Supports custom headers, request bodies, and environment variable configuration for seamless API integration.

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.

Enables AI agents to route HTTP requests through millions of real residential IPs, bypassing anti-bot systems and geo-targeting by country or city.

MCP server enabling AI agents to interact with the Kobra API through authenticated HTTP requests, including partner, bearer, and session auth.

MCP server generated from an OpenAPI Specification, exposing tools via HTTP. It allows clients to invoke API operations using JSON-RPC 2.0 requests.

Enables MCP clients to connect over HTTP/SSE, call simple echo, arithmetic, uppercasing, and time tools, and run asynchronous tasks with approval elicitations via the Tasks extension.

A reference implementation for creating an MCP server supporting Streamable HTTP & SSE Transports with OAuth authorization, allowing developers to build OAuth-authorized MCP servers with minimal configuration.

Enables fetching HTTP resources through the MCP protocol.