"Understanding HTTP Requests" matching MCP servers:

Enables LLMs to make HTTP requests with OAuth2, session cookies, retry logic, and cURL command generation, while providing security features like SSRF protection and TLS enforcement.

A minimal MCP server that exposes Gemini's web and multimodal understanding (video, audio, document, image) through five dedicated tools.

Enables AI agents to send HTTP requests to any endpoint with full control over methods, headers, query parameters, and request bodies.

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.

Enables generating webhook endpoints for testing, inspecting and comparing HTTP request payloads, replaying requests from history, and forwarding requests to localhost.

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 users to analyze HTTP response headers of any URL for security and configuration, returning a 0-100 security score, HSTS/CSP and header checks, server detection, caching details, and recommendations. Supports pay-per-call access via x402 micropayments.

A bridge server that converts stdio protocol to streamable-http protocol, allowing clients to interact with MCP services over HTTP.

Enables Grok to send arbitrary HTTP requests with cookie session persistence and redirect tracking, designed for web/CTF scenarios.

Mock HTTP server implementing MCP (Model Context Protocol) with streamable HTTP transport, health endpoint, and example tools like echo and time.

Echoes GET and POST requests for testing HTTP APIs via MCP.

Exposes LLM Wiki desktop capabilities via Streamable HTTP transport for MCP clients, enabling project listing, file reading, search, and knowledge graph queries through a secure API.

An HTTP-based Model Context Protocol server for RiotPlan that exposes comprehensive planning tools, resources, and prompts for AI agents. It enables full plan lifecycle management, including ideation, shaping, execution tracking, and retrospective generation.

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

An MCP server that enables AI agents to intercept, inspect, and modify HTTP traffic, with tools for searching, filtering, and managing captured requests and interceptors.

Docker-deployable server that enables interaction with Supabase databases via HTTP streaming, allowing n8n workflows, AI agents, and automation tools to execute SQL queries, manage database migrations, deploy edge functions, and search documentation.

Exposes any stdio-based MCP server to the internet via HTTP/SSE transport, enabling remote agents to access MCP tools over a network.

Enables integration with QR Agent Studio via MCP Streamable HTTP and Agent Skills, forwarding authenticated requests to manage QR records.

Enables AI agents to maintain persistent, inspectable understanding through typed, revisable updates, and to coordinate multi-agent work via shared graph-based stigmergy.

First HTTP-native MCP server for Obsidian that solves stdio transport bugs, enabling AI assistants to manage Obsidian notes without crashes.