MCP HTTP Client, developed by Ferprieto, is a server tool built with Kotlin that enables Large Language Models to interact with external services. It acts as a crucial bridge, allowing AI clients like Cursor and Claude to make real-world connections. This free program is categorized as an MCP server, designed to extend LLM capabilities by interfacing with various external endpoints. It supports diverse connection types, transforming natural language instructions into actionable requests against the internet.

What does MCP HTTP Client connect to?

MCP HTTP Client serves as a versatile connector for external services. It establishes connections to a variety of endpoints, including standard HTTP/HTTPS web APIs. Beyond typical web requests, it also interfaces with GraphQL APIs, allowing LLMs to execute complex queries and mutations. Furthermore, the client supports direct interaction with TCP/Telnet services, extending LLM capabilities to lower-level network protocols. This broad connectivity enables LLMs to retrieve or send data across diverse internet services.

Core features and tools

MCP HTTP Client allows Large Language Models to perform several key operations. It enables LLMs to make HTTP/HTTPS requests for retrieving or sending web data. The client also provides tools to run GraphQL queries against GraphQL endpoints, facilitating structured data interactions. Additionally, it supports functionalities to establish TCP/Telnet connections, allowing LLMs to interact with these types of services. These implied tools empower LLMs to extend their reach beyond their internal knowledge base into the wider digital landscape.

Who is it for?

This program targets developers who are building applications that integrate Large Language Models with external services. It is specifically designed for LLMs to extend their intrinsic capabilities by interacting with real-world APIs and network protocols. The MCP HTTP Client bridges the gap between LLM reasoning and external data or actions. Developers can use it to empower AI clients like Cursor and Claude with operational access to the internet. Skip this if your application does not involve LLMs interacting with external web or network services.

How to get started

The MCP server authenticates using a standard OAuth authorization flow for remote deployments, where access tokens are attached to each request via the Authorization header for Streamable HTTP transport. For local servers, authentication may involve environment variables or system credentials, typically over stdio transport.

Use cases

• An LLM making an HTTP/HTTPS request to retrieve or send data to a web API, extending its ability to interact with online services.
• An LLM executing a GraphQL query against a GraphQL endpoint, enabling structured data fetching and manipulation.
• An LLM establishing and interacting over a TCP/Telnet connection, providing access to various network services.

MCP HTTP Client provides a vital bridge for LLMs to engage with the external world through HTTP, GraphQL, and TCP/Telnet services. It empowers AI clients to perform actions and gather information beyond their training data, making them more dynamic and useful. This free tool extends the functional reach of LLM applications significantly.