Jarvis
Click on "Install Server".
Wait a few minutes for the server to deploy. Once ready, it will show a "Started" state.
In the chat, type
@followed by the MCP server name and your instructions, e.g., "@JarvisDiseña un dron para carga de 2 kg con autonomía de 30 minutos."
That's it! The server will respond to your query, and you can continue using it as needed.
Here is a step-by-step guide with screenshots.
Jarvis
v0.1 prototype
Deterministic engineering engine for designing physical systems with AI-assisted natural language.
Jarvis is aerial-first (drones and related vehicles): you describe goals and components in Spanish; calculation and simulation stay rule-based and auditable. The model may interpret — it does not invent the physics.
Read the one-page contract: VISION.md.
Quick start
git clone https://github.com/mcuestamunoz/Jarvis.git
cd Jarvis
python3 -m venv .venv
source .venv/bin/activate # Windows: .venv\Scripts\activate
pip install -e ".[dev,mcp]"CLI chat (optional: local Ollama for analyze / free-form interpret):
python -m jarvis.main --chat
# or
jarvis --chatTests:
pytestMCP server (Cursor / MCP clients):
python -m jarvis.adapters.mcp.serverWorkspace projects live under workspace/ (override with JARVIS_WORKSPACE_ROOT).
Ollama defaults: JARVIS_OLLAMA_BASE_URL, JARVIS_OLLAMA_MODEL (see src/jarvis/config.py).
Related MCP server: COMSOL MCP Server
What v0.1 includes
Guided / direct
create_projectComponent definition in natural language (motors, frame, battery, propellers, …)
Deterministic
calculateandsimulatewith history + Markdown viewsControlled
iterateand design-space explore / apply (DSE)CLI and MCP adapters
Curated material & motor library (small; matching by KV — see debt D8)
Docs
Doc | Role |
Product contract (non-technical) | |
How the system is built | |
Roadmap, gaps, technical debt | |
Deeper product / flow reference |
Tag
v0.1.0-prototype — first functional cut. Not a production CAD/FEM tool.
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