TinyAssets MCP server
Commit 15. Nov. 2026Connects any model source to build and run customizable agent files and skills through a single MCP interface.
Auch bekannt als Jonnyton/Workflow
- Stars
- 1
- Tools
- —
- Downloads, 30 Tage
- —
- Neueste Version
- 0.1.0
- Letzter Commit
- 15. Nov. 2026
- Lizenz
- MIT
Was ist TinyAssets MCP?
TinyAssets ist ein MCP server. Connects any model source to build and run customizable agent files and skills through a single MCP interface.
Zusammenfassung generiert aus dem README des Projekts
Über TinyAssets MCP server
TinyAssets provides a single MCP interface that allows users to connect their own model subscriptions to build and run customizable agent files and skills. Instead of providing a model itself, the platform acts as plumbing that reaches any engine through one door. This setup enables a consistent agent definition across different providers without requiring provider-specific code.
Users interact with the system via a web app, an Android app currently in closed testing, or by adding the MCP connector as a custom connector in Claude or ChatGPT. The agent's capabilities are defined by editable files, skills, and packages. Because the system relies on the user's own engine, such as a provider's CLI or an existing main agent, it functions as a layer around the engine to manage state and configuration.
Was du damit machen kannst
- 1Connect existing model subscriptionsA developer can link their own AI provider keys to use as the engine for custom agents.
- 2Create custom agent filesUsers can build unique agent behaviors by editing specific files and skills.
- 3Integrate with major AI platformsYou can add this server as a custom connector within Claude or ChatGPT interfaces.
- 4Standardize agent definitionsDevelopers can use one agent definition that works across various different engines.
Geschrieben aus dem README des Projekts. Jeder Use Case wurde gegen ein Zitat daraus geprüft.
So installierst du TinyAssets MCP
Formate geprüft am 10. Nov. 2026Zu Cursor hinzufügenZu Goose hinzufügenTinyAssets MCP in Claude Code installieren
$ claude mcp add --transport http workflow https://tinyassets.io/mcp-directoryTinyAssets MCP in Cursor installieren
~/.cursor/mcp.json
{
"mcpServers": {
"workflow": {
"url": "https://tinyassets.io/mcp-directory"
}
}
}TinyAssets MCP in VS Code installieren
.vscode/mcp.json
{
"servers": {
"workflow": {
"type": "http",
"url": "https://tinyassets.io/mcp-directory"
}
}
}TinyAssets MCP in VS Code CLI installieren
$ code --add-mcp '{"name":"workflow","type":"http","url":"https://tinyassets.io/mcp-directory"}'TinyAssets MCP in Codex installieren
$ codex mcp add workflow --url https://tinyassets.io/mcp-directoryTinyAssets MCP in Codex config.toml installieren
~/.codex/config.toml
[mcp_servers.workflow] url = "https://tinyassets.io/mcp-directory"
TinyAssets MCP in Gemini CLI installieren
$ gemini mcp add -s user --transport http workflow https://tinyassets.io/mcp-directoryTinyAssets MCP in Gemini settings.json installieren
~/.gemini/settings.json
{
"mcpServers": {
"workflow": {
"url": "https://tinyassets.io/mcp-directory",
"type": "http"
}
}
}Automatisierte Checks
Geluften am 14. Nov. 2026Vollständiger Bericht →Noch nicht verifiziert. Ein Server benötigt einen Score von 80, keine kritischen Befunde und genug Daten für unsere Prüfung. Wie die Checks funktionieren · Was du für mehr Punkte verbessern kannst
- Source Repository verknüpft und erreichbarjonnyton/workflow is public and reachablegithub.com/jonnyton/workflow ↗Bestanden
- Paket nennt dieses Repository als QuelleNicht geprüft
- Build-Provenienz (Sigstore-Attestierung)Nicht geprüft
- Open Source Lizenz (OSI)MITspdx.org/licenses/MIT.html ↗Bestanden
- Commit oder Release im letzten JahrLast commit or release 2026-11-12github.com/jonnyton/workflow ↗Bestanden
- OpenSSF ScorecardNicht geprüft
- Package-Name ähnelt keinem populären PackageNicht geprüft
- Keine kritischen Advisories im Paket oder seinen AbhängigkeitenNicht geprüft
- Keine versteckten Anweisungen an das Modell0 tool descriptions and the README read; no override phrases, credential paths or hidden charactersBestanden
- Destruktive Tools sind markiertNicht geprüft
- Remote-Endpoint beantwortet den MCP-HandshakeEndpoint did not answer initialize: HTTP 404Befund
README
Auf GitHub ansehenTinyAssets
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.
- Web app: https://tinyassets.io/app
- Start page (web, Claude or ChatGPT connector, Android, desktop): https://tinyassets.io/start/
- Android closed test: https://play.google.com/apps/testing/io.tinyassets.app
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.
- 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.
- 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. - The agent's abilities are editable files, skills and packages. The platform does not build feature editors or pre-built features.
- Users connect any model source; default to their strongest connected source.
- 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 the clean-sheet platform, as one clean cutover:
platform/is the only path, one migration in a short maintenance window after a full backup, and the old stack, with its docs, skills and rules, is deleted in the same change.) - Ship live fast and verify live. LESS process: delete stale docs, tests and notes rather than adding more.
- 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.
- 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
- App: https://tinyassets.io/app
- MCP connector (add it as a custom connector in Claude or ChatGPT): https://tinyassets.io/mcp
- Testers: docs/getting-started/testers.md
- Live status (deployed sha, canary, providers): https://tinyassets.io/fine-print
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.
git clone https://github.com/TinyAssets/TinyAssets.git
cd TinyAssets
python -m venv .venv && source .venv/bin/activate # Windows: .venv\Scripts\activate
pip install -e ".[dev]"
python -m scripts.ci_structural_guards # the fast guards every PR runs
pytest -q tests/test_<area>.py # the tests your change touches
ruff check <changed files>
CI runs the rest. How work is done here: AGENTS.md.
License
MIT — see LICENSE. Built by Jonathan Farnsworth (jonathan.m.farnsworth@gmail.com, @Jonnyton); the only co-authors are the project's own AI agents.
TinyAssets MCP Fragen
Wie füge ich TinyAssets MCP zu Claude Code hinzu?
Führe claude mcp add --transport http workflow https://tinyassets.io/mcp-directory in deinem Terminal aus. Füge --scope user hinzu, damit der Server in jedem Projekt verfügbar ist.
Wie füge ich TinyAssets MCP zu Cursor hinzu?
Öffne ~/.cursor/mcp.json und füge den Server unter mcpServers hinzu, mit der Cursor-Config aus dem Installationsabschnitt oben.
Do I need to pay for a model through TinyAssets?
No, you connect your own model subscription; the project does not supply a model.
Can I run the production server on my own computer?
Running the production server on your own machine is not a supported installation.
How do I use TinyAssets with Claude or ChatGPT?
You can add it as a custom connector in Claude or ChatGPT using the MCP connector.