"Understanding HTTP Requests" matching MCP servers:

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.

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

Enables LLMs to send HTTP requests to a local development server, allowing interaction with APIs running on localhost.

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

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.

Provides secure, read-only database queries, HTTP GET requests with anti-SSRF protection, and file reading within a restricted directory.

An MCP server that provides HTTP client capabilities with support for full HTTP methods, custom headers, query parameters, request bodies, and configurable timeouts.

Enables executing HTTP requests with automatic browser-based authentication, supporting OAuth, form login, and cookie/session management.

MCP server for multimodal understanding and object grounding (bounding boxes) across images, videos, and documents, with support for multiple AI providers (Zhipu GLM-V, OpenAI GPT-4o, Anthropic Claude, or any OpenAI-compatible endpoint).

Enables AI assistants to execute Python functions and system commands via Streamable HTTP, including bash, Python code execution, file operations, and text searching.

This server bridges a stdio MCP server to HTTP, allowing MCP clients that communicate over HTTP to use the server's tools. It includes a per-tool allow/deny filter for security.

Provides a standardized MCP interface for interacting with HTTP tools and services, enabling unified API access and management.

A server that translates Model Context Protocol (MCP) tool callings to traditional HTTP API requests, allowing existing HTTP APIs to be integrated into MCP territory through configurable mappings.

A MCP server that provides HTTP-based access to Tushare financial data, enabling AI assistants to query stocks, indices, funds, and more.

HTTP Inspector MCP Server enables sending arbitrary HTTP requests, viewing history via a web panel, and taking screenshots of the panel for AI penetration testing workflows.

Provides HTTP client capabilities to AI agents with 9 tools for REST API testing, including GET, POST, PUT, PATCH, DELETE, batch requests, and URL health checks, using pure Python stdlib.

Provides basic arithmetic calculation tools through an HTTP-accessible MCP server. Supports mathematical operations like addition with streamable responses for integration with MCP clients.

An HTTP-based MCP server that provides filesystem tools and code analysis, enabling LLMs to read, write, list files, and analyze code securely.