"MCP for Web Search" matching MCP servers:

Code Mode MCP server for the OVH API. Two tools (search + execute) give LLMs access to all OVH endpoints via sandboxed JavaScript.

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.

A reusable MCP server for QA automation testing that enables running tests across web apps, APIs, CLI tools, and more directly from Claude Desktop.

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.

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 Claude to retrieve BIN (Bank Identification Number) data for payment cards, with options for basic or enhanced insights through the Pagos API.

MCP server for Akamai APIs. 198 tools covering Property Manager, Edge DNS, CPS, WAF, and reporting. Built with TypeScript, featuring modular architecture, comprehensive testing, and multi-account support. Make Akamai accessible to AI assistants.

Exposes Hono API endpoints as Model Context Protocol tools, allowing LLMs to interact with your API routes through a dedicated MCP endpoint. It provides helpers to describe routes and includes a codemode for dynamic API interaction via search and execute tools.

Enables AI assistants to interact with Magic-API development environment, supporting script syntax query, API management, debugging, and knowledge search for efficient development.

Enables AI assistants to interact with the Post For Me API, allowing them to explore endpoints, make test requests, and use documentation to help integrate this SDK into your application.

MCP server for loading and exploring OpenAPI/Swagger specifications, enabling AI assistants to dynamically browse API contracts by loading specs, searching endpoints, inspecting schemas, and retrieving operations.

A TypeScript-based MCP server that provides backend API handling and facilitates communication between microservices. Features an organized structure with controllers, routes, and models for easy extensibility and maintenance.

Enables AI assistants to discover, search, and interact with REST APIs by parsing OpenAPI/Swagger specifications with intelligent fuzzy search across endpoints, supporting both local and remote API sources.

Provides a structured HTTP client tool for making web requests with full HTTP method support, detailed response metadata, and error handling. Enables AI assistants to interact with any web API or endpoint through the curl_request tool.

Loads and queries OpenAPI/Swagger documents, providing tools to list APIs, get details, search endpoints, and manage schemas for efficient API exploration.

Converts OpenAPI documents into MCP services with generated tools, prompts, and resources, supporting HTTP and STDIO transports plus an admin Web UI.

Enables AI agents to discover, search, and call any REST API described by an OpenAPI or Swagger document. Supports multiple API endpoints with authentication and parameter handling.

MCP server that checks the Baseline status using Web Platform APIs.

Exposes Docusaurus documentation and OpenAPI specs as an MCP server, enabling AI agents to search docs and inspect API endpoints.

A Model Context Protocol server for YApi that enables developers to search, view, create, and update API definitions directly from MCP-compatible IDEs.