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Create, browse, remix, collaborate on, and run durable AI workflow nodes from MCP hosts.
Create, browse, remix, collaborate on, and run durable AI workflow nodes from MCP hosts.
Remote endpoints: streamable-http: https://tinyassets.io/mcp-directory
This MCP server implements a goal-engine daemon orchestrator with substantial file I/O, environment variable access, and subprocess integration. While core authentication is absent (appropriate for self-hosted systems), the codebase exhibits moderate security concerns: unrestricted path operations without validation in critical read/write paths, dangerous subprocess patterns in undisclosed modules, and broad filesystem access that could enable information disclosure. Input validation exists but is inconsistently applied across the 27+ action handlers. Supply chain analysis found 26 known vulnerabilities in dependencies (1 critical, 8 high severity).
4 files analyzed · 37 issues found
Security scores are indicators to help you make informed decisions, not guarantees. Always review permissions before connecting any MCP server.
This plugin requests these system permissions. Most are normal for its category.
Available as Local & Remote
This plugin can run on your machine or connect to a hosted endpoint. during install.
From the project's GitHub README.
A global goals engine. Fully self-hostable, open-source (MIT platform / CC0 catalog), runs on your own infrastructure. Humanity declares shared Goals — research breakthroughs, great novels, successful prosecutions, cures, open datasets, whatever people actually want done — and a legion of diverse AI-augmented workflows pursues each Goal in parallel. Branches evolve, cross-pollinate, and get ranked by how far their outputs advance up each Goal's real-world outcome-gate ladder. fantasy_daemon/ is the first benchmark branch; the system is built for everything people collectively care about next.
This repo already contains substantial architecture and implementation work. These starter surfaces exist to make that work easier to navigate, extend, and connect in Obsidian.
Clone-to-green-tests in ~5 minutes on a clean machine:
git clone https://github.com/your-org/Workflow.git
cd Workflow
python -m venv .venv && source .venv/bin/activate # Windows: .venv\Scripts\activate
pip install -e .[dev]
pytest -q # full suite — no API keys needed (tests mock providers)
ruff check # lints clean on a fresh clone
All tests run offline with _FORCE_MOCK=True set in tests/conftest.py. No ANTHROPIC_API_KEY or similar required for CI or local dev. If any test fails on a clean clone, file an issue — that's a TEST-1 regression.
Cross-platform notes:
pathlib.Path — backslashes don't leak into tests.pyproject.toml).workflow/workflow_tray.py) is Windows-first; macOS/Linux support is work-in-progress. Platform code is cross-platform.python scripts/docview.py for large Markdown, text, and JSON files
before any raw whole-file read.python scripts/capture_idea.py "Idea summary".knowledge/ docs complement knowledge.db; they do not replace it.docs/exec-plans/ surface complements existing planning docs like
BUILD_PREP.md and RESTRUCTURE_PLAN.md; it does not invalidate them.Be the first to review this server!
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