"curl" matching MCP servers:

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.

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.

A comprehensive HTTP/HTTPS tool server using curl, supporting various authentication methods, file uploads, downloads, and custom curl commands.

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

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.

Turns any curl command into an MCP tool server by extracting placeholders and serving the request over stdio.

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.

MCP server for executing MySQL SQL, managing Apifox API documentation, and parsing/executing curl commands.

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

Enables AI agents to create, manage, and execute API collections, requests, and environments in Insomnia-compatible formats. It supports direct synchronization with the local Insomnia app database and importing from OpenAPI, Postman, and cURL.

Converts existing HTTP operations and cURL commands into structured, local-first MCP tools that AI agents can call safely.

Enables AI agents to drive API testing from YAML definitions, executing and chaining requests without hand-written curl, while keeping credentials out of the conversation and responses token-cheap, plus a VANDER-based QA review of endpoints.

Bridges Torna API documentation system with AI assistants, enabling natural language search, API discovery, detailed documentation retrieval, and curl command generation for your Torna-managed APIs.

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 AI agents to locally parse and analyze HAR files through read-only MCP tools, including searching requests, discovering endpoints, tracing values, detecting auth and API patterns, comparing requests, and exporting redacted cURL commands.

Brings OpenAPI/Swagger documentation into AI assistants, enabling endpoint discovery, deep inspection, cURL generation, and TypeScript type generation.