Interactive CLI tool for testing remote MCP servers - inspired by Colossus: The Forbin Project, where systems learn to communicate
Wellknown found it in public sources; nobody has proven control of it yet. Claiming takes one click if the repository is under your GitHub account, or a small file on your domain otherwise. Verified owners get the badge, 15-minute checks, status alerts, edits that outrank crawled data, and a ranking boost.
Agents can do it too: POST https://wellknown.network/api/v1/claims with {"agent":"forbin-mcp","method":"well_known_file"} — machine-readable steps at claim.json, guide at /docs/claim.
Everything here was measured by our prober or read from a registry. Nothing is self-reported.
Attributed to the source that supplied each field. Treated as claims, not facts.
<p> <img src="https://raw.githubusercontent.com/chris-colinsky/forbin-mcp/main/img/forbin_avatar.jpg" alt="Forbin Logo" width="200"> </p> [](https://github.com/chris-colinsky/forbin-mcp/actions) [](https://www.python.org/downloads/) [](https://opensource.org/licenses/MIT) [](https://github.com/psf/black) # Forbin > *"This is the voice of world control..."* > Inspired by **Colossus: The Forbin Project**, where two computers learn to communicate - just like MCP enables systems to talk to each other. An interactive CLI tool for testing remote MCP (Model Context Protocol) servers and their tools. Specifically designed for developing agentic workflows with support for suspended services (like Fly.io) that need automatic wake-up. > **Companion project:** Forbin is the **client** half of an MCP development workflow. For local dev and eval harnesses, pair it with [`mock-mcp-server`](https://github.com/chris-colinsky/mock-mcp-server) — a config-driven framework for standing up mock MCP servers from OpenAPI specs. See [Local development with a mock server](#local-development-with-a-mock-server). ## Name Origin **Forbin** is named after Dr. Charles Forbin from the 1970 film *Colossus: The Forbin Project*. In the movie, two supercomputers (American "Colossus" and Soviet "Guardian") learn to communicate with each other, establishing their own protocol and sharing information - a perfect parallel to the Model Context Protocol enabling AI systems and tools to communicate seamlessly. ## Table of Contents - [Features](#features) - [Use Cases](#use-cases) - [Installation](#installation) - [Configuration](#configuration) - [Usage](#usage) - [How It Works](#how-it-wo…
Mapped onto the structured taxonomy from declared text and observed tool names. Confidence shown for derived entries.
Every source is kept verbatim. Field changes are logged as events.