Workflow

io.github.Jonnyton由 GitHub 账号 Jonnyton 发布v0.1.0更新于 Oct 24, 2026

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

已验证Streamable HTTP可网页运行效率与工作流AI 与机器学习

概览

AI 生成的概览

托管式 TinyAssets 连接器，让助手创建、浏览、混编、协作并运行可持久化的 AI 工作流节点。

可以做什么
  • 在 MCP 宿主中创建并运行可持久化的 AI 工作流节点
  • 浏览并混编已有的工作流节点
  • 与他人协作编辑工作流节点
  • 作为 TinyAssets 智能体的统一 MCP 入口，该智能体由可编辑的文件、技能和包组成
适用场景
适合希望让助手在托管版 TinyAssets 平台上搭建并运行可复用 AI 工作流节点，或在 Claude、ChatGPT 中通过自定义连接器接入 TinyAssets 智能体的场景。
运行要求
需要把 tinyassets.io 的远程 MCP 端点添加为自定义连接器，无需安装软件包。需自行连接模型订阅或 API 密钥，因为项目本身不提供模型。官方支持的方式是使用托管应用并拥有 TinyAssets 账号。
安装前请注意
模型订阅或密钥由你自行提供，费用由该模型服务商计费。工作流节点可被创建、运行并与协作者共享，会改动托管服务上的数据。官方明确不支持自行部署生产服务器。

安装

在 SourceWeft 中

  1. 打开 控制台中的 Workflow，将其添加到工作区。
  2. 为需要使用其工具的对话启用该服务。

Web executable，通过 Streamable HTTP。 远程服务在工作区中配置后即可从网页运行时运行。

交给智能体安装

把这段提示词粘贴到 Claude Code、Codex、Cursor 等智能体，或 SourceWeft 对话中。智能体会读取该服务器的安装指南，先向你展示发布者、端点和登录方式，经你同意后再把它添加到你的客户端。密钥不会写进任何命令。

阅读 https://sourceweft.com/mcp/io.github.Jonnyton%2Fworkflow-universe-server/install.md，并按其中说明把这个 MCP 服务器接入我的客户端。修改任何配置之前，先告诉我它的发布者、端点和登录方式，等我确认。不要把 API 密钥写进命令或我会提交的文件；问我密钥应从哪里获取。

查看智能体所依据的安装指南

其他 MCP 客户端

把它添加到你客户端的 mcpServers 配置中。

{
  "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.

来源：README.md，提交 331b414

工具

0
SourceWeft 尚未读取此服务器的工具。

版本历史

1
  1. v0.1.0最新Sep 16, 2026

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