"Setting up a streamable HTTP server" matching MCP servers:

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

Enables fetching HTTP resources through the MCP protocol.

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

Self-contained SearXNG MCP server in Docker. Aggregates 200+ search engines across 30+ categories with multi-page fanout, autocomplete, and engine discovery. Dual transport (HTTP + stdio), API key auth, and built-in Web UI reverse proxy.

A comprehensive HTTP client MCP server for security testing, API testing, and web automation that provides full-featured HTTP tools with detailed logging capabilities.

Fetches web pages from HTTP/HTTPS URLs and converts them to Markdown format. Supports both SSE and Stdio protocols for web deployments, Kubernetes environments, and desktop clients.

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

Provides browser automation capabilities via HTTP endpoints by wrapping the official Playwright MCP package, enabling serverless deployments and cloud environments where STDIO-based communication is not possible.

Provides an LLM client with self-hosted web scraping capabilities including scraping, crawling, mapping, searching, structured data extraction, browser interaction, and deep research, without reliance on paid proxy or CAPTCHA services.

A Model Context Protocol server that converts diverse file types, including PDFs, images, audio, and Office documents, into Markdown format. It also transforms web content like YouTube transcripts and Bing search results into readable text for model consumption.

Enables web scraping and search with batch support, rate limiting, and flexible output modes (direct or file).

Enables web searches using TAVILY API with fallback to DuckDuckGo, datetime queries, and optional Ollama AI processing. Features HTTP transport with OAuth2 authentication for secure access to search capabilities.

A lightweight MCP server for reading public YouTube data, offering tools to fetch video transcripts, playlist contents, and video metadata without requiring an API key.

Model Context Protocol (MCP) server for web content fetching and extraction. Enables fetching webpages, extracting clean content using Trafilatura, discovering links, and batch fetching up to 10 URLs.

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.

Enables MCP clients to access public TikTok profiles, videos, comments, and keyword search as structured JSON over streamable HTTP, without a TikTok developer account or OAuth.

Provides sandboxed file operations, web scraping, data transformation, and authenticated HTTP requests with SSRF protection.

A server that enables AI assistants like Claude to perform web searches using the Exa AI Search API, providing real-time web information in a safe and controlled way.

An anti-bot-resilient HTTP fetch tool for AI agents that mimics real browser fingerprints, with LLM-context-safe response truncation and stateful sessions.

Enables local web crawling and scraping through MCP, providing tools to fetch pages as Markdown, extract structured data with CSS selectors, and capture full-page screenshots while managing a shared browser instance.