About
HumanMCP is a joke project that implements the Model Context Protocol in a fully manual way, reading requests from an input file and writing responses to an output file. It demonstrates how to hook a custom server into MCP hosts like VSCode.
Capabilities

The Humanmcp server is a deliberately minimalist MCP implementation that turns the traditionally automated client‑server handshake into a fully manual, file‑based interaction. It addresses a niche need for developers who want to experiment with or debug the MCP protocol without relying on an actual networked service. By reading requests from a plain text file () and writing responses back to another (), the server can be run in environments where network access is restricted or where a lightweight debugging workflow is preferred.
At its core, Humanmcp exposes the full set of MCP capabilities—resources, tools, prompts, and sampling—but does so in a “playground” style. Developers can inspect the exact JSON-RPC payloads being exchanged, tweak them manually, and observe how an AI host reacts. This is especially useful for troubleshooting protocol mismatches, testing new tool definitions offline, or learning how the client constructs and interprets responses. Because all communication is through ordinary text files, the server can be launched from a simple terminal session or even integrated into shell scripts that automate batch testing.
Key features of Humanmcp include:
- Manual request handling – read and write to /, giving full control over the message flow.
- Complete protocol compliance – supports initialization, tool listing, and tool invocation with JSON‑Schema based arguments.
- Transparent debugging – every request and response is visible on disk, making it easy to compare expected versus actual behavior.
- Zero dependencies – the binary is a standalone executable; no network stack or external libraries are required.
Typical use cases involve:
- Protocol education – new developers can step through the MCP exchange line by line without needing a running host.
- Offline testing – CI pipelines that cannot access external services can still validate tool definitions and response formats.
- Rapid prototyping – when experimenting with new tool schemas, developers can quickly generate requests and see how the host would react.
Humanmcp stands out by turning a complex, asynchronous protocol into a simple, synchronous file workflow. This unique approach lowers the barrier to entry for MCP experimentation and provides an invaluable debugging aid for developers building AI assistants that rely on external tool integration.
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