"author:{result['url']}" matching MCP servers:

Enables LLMs to make HTTP requests using structured cURL commands with support for multiple authentication methods, custom headers, and comprehensive request/response control.

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.

Precisely filter and fetch API documentation from Apifox or any OpenAPI URL, reducing context bloat by fetching only needed endpoints.

A comprehensive suite of HTTP and API testing tools that enables AI agents to perform requests, check endpoint health, and decode JWTs. It also provides utilities for URL parsing and detailed security analysis of HTTP response headers.

Enables running Postman collections using Newman for conducting API tests and obtaining detailed result analysis via a standardized interface.

A Model Context Protocol (MCP) server that enables AI assistants to download files from URLs to the local filesystem.

A Model Context Protocol server that provides tools for fetching and posting HTTP data, with built-in prompts for URL summarization and API analysis.

Enables AI agents to discover and read Typeship API documentation and execute API operations through schema-validated MCP tools, with optional read-only mode and configurable result limits.

Exposes an MCP server over HTTP that allows searching and executing OpenAPI operations from any OpenAPI spec URL, with session variable storage.

Enables users to convert any OpenAPI or Swagger spec URL into a hosted MCP server on the Agentic Tools Platform, with tools for analyzing, trimming, and managing OpenAPI specifications.

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.

Enables uploading and managing Postman collections, environments, and data files for API testing. Integrates with AI hosts via Model Context Protocol for test execution and result management.

An MCP server that gives Claude a full HTTP client — make requests, compare environments, infer TypeScript types from live responses, and work directly with your existing Postman collections and environments.

A minimal tool server demonstrating Model Context Protocol (MCP) interactions via local CLI and WebSocket transports. It provides tools for simple greeting responses and making external HTTP API calls using a configurable base URL.

Turns any OpenAPI spec into a Model Context Protocol server, generating tools from paths and schemas with support for auth headers, method allowlists, and base URL overrides.

Enables admins to author and manage persistent mock MCP servers and OpenAI-compatible endpoints through a browser UI and admin API, with REST mocks, shared datasets, and traffic logging for demos and training.

Enables AI models to load and inspect OpenAPI specifications, generate Hurl test scripts, and access API documentation for automated testing and API interaction through natural language.

Enables fetching content from any URL with support for different HTTP methods, custom headers, and request bodies. Designed to work with ChatGPT and other AI assistants for web scraping and API interactions.

Enables full curl functionality within the Model Context Protocol, allowing users to execute network requests with support for custom headers and host networking. It facilitates interaction with local and external APIs, including those using self-signed certificates, directly through Docker.

Live OpenAPI runtime proxy that enables calling any REST API from MCP clients without writing wrapper code, by pointing at any OpenAPI spec URL.