Workflow

io.github.JonnytonPublished by GitHub account Jonnytonv0.1.0Updated Oct 24, 2026

Create, browse, remix, collaborate on, and run durable AI workflow nodes from MCP hosts.

VerifiedStreamable HTTPWeb executableProductivity & WorkflowAI & ML

Overview

AI-generated overview

Hosted TinyAssets connector that lets an assistant create, browse, remix, collaborate on and run durable AI workflow nodes.

What you can do
  • Create and run durable AI workflow nodes from an MCP host
  • Browse and remix existing workflow nodes
  • Collaborate with others on workflow nodes
  • Act as the single MCP door to a TinyAssets agent built from editable files, skills and packages
When to use it
Useful if you want an assistant to build and run reusable AI workflow nodes on the hosted TinyAssets platform, or to reach a TinyAssets agent from Claude or ChatGPT as a custom connector.
Requirements
A remote MCP endpoint at tinyassets.io added as a custom connector; no package install. You must connect your own model subscription or API key, since the project does not supply a model. A TinyAssets account on the hosted app is the supported path.
Before you install
You supply your own model provider subscription or key, so usage is billed by that provider. Workflow nodes can be created, run and shared with collaborators, which changes data on the hosted service. Self-hosting the production server is explicitly unsupported.

Installation

In SourceWeft

  1. Open Workflow in the dashboard and add it to a workspace.
  2. Enable the server for the chats that should use its tools.

Web executable via Streamable HTTP. Remote servers run from the web runtime once configured in a workspace.

Use with an agent

Paste this prompt into Claude Code, Codex, Cursor or another agent — or into SourceWeft chat. The agent reads this server's install guide, shows you its publisher, endpoint and sign-in, and adds it to your client once you agree. Keys never go into a command.

Read https://sourceweft.com/mcp/io.github.Jonnyton%2Fworkflow-universe-server/install.md and connect the MCP server it describes to my client. Before changing any config, show me its publisher, endpoint and sign-in method and wait for my OK. Never put an API key in a command or in a file I would commit; ask me where it should come from.

Read the install guide the agent follows

Other MCP clients

Add this to your client's mcpServers config.

{
  "mcpServers": {
    "workflow": {
      "type": "http",
      "url": "https://tinyassets.io/mcp-directory"
    }
  }
}

README

TinyAssets

An agent of your own in the chat bubble: connect any model source, then build what you need from there.

Try it

The hosted app is the supported way in. Android is in a closed Google Play test, not a public store listing. The steps, what to expect, and how to report a bug are in docs/getting-started/testers.md.

You connect your own model subscription. This project does not supply a model. What is free, and what is not built yet, is on https://tinyassets.io/fine-print/.

Running the production server on your own machine is not a supported install. Status: docs/getting-started/self-hosting.md.

Direction

The founder owns this section. To re-steer, replace a line; never add one beside it. python scripts/sync_direction.py copies it verbatim into AGENTS.md.

  1. Product: a default bubble agent that continuously matches and beats the industry-leading main agents (Grok Bot, Muse, ChatGPT dots, Claude Duet), shipped as a starter package of agent files that runs on the user's own engine: their provider's unmodified CLI on their subscription or key, or their own main agent; users customize the agent's files and interface to build anything.
  2. Plumbing: an agent is files (AGENTS.md, skills, MCP config, hooks) plus TinyAssets state, run by an unmodified engine (a provider's CLI in the user's sandbox, the user's main agent over MCP, or pi's CLI); TinyAssets is everything around the engine and reaches every engine through one MCP door; one agent definition for every engine; no provider-specific code: engine differences are data.
  3. The agent's abilities are editable files, skills and packages. The platform does not build feature editors or pre-built features.
  4. Users connect any model source; default to their strongest connected source.
  5. Foundational patches are brought FORWARD, so pre-migration band-aids never delay positive architectural moves. Weigh the totality of pending work, so each module is always pursuing or maintaining its best architecture, and refactor and reorder the remaining work to get there. (Today that foundation is per-owner isolation, as one clean cutover: the isolated path is the only path, one migration in a short maintenance window after a full backup, and cross-owner app checks the OS now enforces are deleted in the same change.)
  6. Ship live fast and verify live. LESS process: delete stale docs, tests and notes rather than adding more.
  7. Long-term goal: in both the Google Play and Apple App Store, and listed in the major agents' connector directories (Meta Muse, ChatGPT, Claude) so users find TinyAssets by search, not only as a custom connector, with growing downloads and positive reviews.
  8. 24/7 uptime with zero hosts online: every surface works with no host machine on.

No longer the direction: "a global goals engine", Goal ladders, and fantasy as the default domain. Where any older doc disagrees with this section, this section wins.

Links

Contributing

Python 3.11+. Tests run offline; providers are mocked, so no API keys are needed. How to contribute, and what this repo does not promise, is CONTRIBUTING.md.

bash
git clone https://github.com/TinyAssets/TinyAssets.gitcd TinyAssetspython -m venv .venv && source .venv/bin/activate   # Windows: .venv\Scripts\activatepip install -e ".[dev]"python -m scripts.ci_structural_guards               # the fast guards every PR runspytest -q tests/test_<area>.py                       # the tests your change touchesruff check <changed files>

CI runs the rest. How work is done here: AGENTS.md.

License

MIT — see LICENSE. Built by Jonathan Farnsworth ([email protected], @Jonnyton); the only co-authors are the project's own AI agents.

Source: README.md at commit 331b414

Tools

0
SourceWeft has not read this server's tools yet.

Version history

1
  1. v0.1.0LatestSep 16, 2026

Score

85% of the applicable checks met

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