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":"iflow-mcp-toolfront","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 align="center"> <a href="https://github.com/statespace-tech/toolfront"> <img src="https://raw.githubusercontent.com/statespace-tech/toolfront/main/docs/assets/images/favicon.svg" width="150" alt="ToolFront"> </a> </p> <div align="center"> # ToolFront **Build and deploy AI apps in minutes. All in pure Markdown. Zero boilerplate.** [](https://github.com/statespace-tech/toolfront/actions/workflows/test.yml) [](https://pypi.org/project/toolfront/) [](https://discord.gg/rRyM7zkZTf) [](https://x.com/statespace_tech) </div> --- **Documentation: [docs.toolfront.ai](http://docs.toolfront.ai/)** **Source code: [https://github.com/statespace-tech/toolfront](https://github.com/statespace-tech/toolfront)** --- ## Quickstart ToolFront is a declarative framework for building modular AI applications in Markdown. Write tools and instructions in `.md` files and get a live AI application. ### Create it Start with one file: `README.md` ```yaml --- tools: - [curl, -X, GET, "https://httpbin.org/status/200"] --- # Instructions - Use `curl` to check if the service is up ``` ### Serve it Run your app on your machine: ```bash toolfront serve . ``` > Runs at `http://127.0.0.1:8000` ### Ask it Export your `OPENAI_API_KEY` and query your app: <details open> <summary><b>Python SDK</b></summary> ```python from toolfront import Application app = Application(url="http://127.0.0.1:8000") result = app.ask("Is the service up?", model="openai:gpt-5") ``` </details> <details> <summary><b>MCP Server</b></summary> ```json { "mcpServers": { "toolfront": { "…
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