Jarvis
MCP server for designing drones and related physical systems through natural language in Spanish, with deterministic calculation and simulation.
README
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 --chat
Tests:
pytest
MCP server (Cursor / MCP clients):
python -m jarvis.adapters.mcp.server
Workspace projects live under workspace/ (override with JARVIS_WORKSPACE_ROOT).
Ollama defaults: JARVIS_OLLAMA_BASE_URL, JARVIS_OLLAMA_MODEL (see src/jarvis/config.py).
What v0.1 includes
- Guided / direct
create_project - Component definition in natural language (motors, frame, battery, propellers, …)
- Deterministic
calculateandsimulatewith history + Markdown views - Controlled
iterateand design-space explore / apply (DSE) - CLI and MCP adapters
- Curated material & motor library (small; matching by KV — see debt D8)
Docs
| Doc | Role |
|---|---|
| VISION.md | Product contract (non-technical) |
| docs/ARCHITECTURE.md | How the system is built |
| docs/IMPLEMENTATION_TASKS.md | Roadmap, gaps, technical debt |
| src/jarvis/README.md | Deeper product / flow reference |
Tag
v0.1.0-prototype — first functional cut. Not a production CAD/FEM tool.
Recommended Servers
playwright-mcp
A Model Context Protocol server that enables LLMs to interact with web pages through structured accessibility snapshots without requiring vision models or screenshots.
Magic Component Platform (MCP)
An AI-powered tool that generates modern UI components from natural language descriptions, integrating with popular IDEs to streamline UI development workflow.
Audiense Insights MCP Server
Enables interaction with Audiense Insights accounts via the Model Context Protocol, facilitating the extraction and analysis of marketing insights and audience data including demographics, behavior, and influencer engagement.
VeyraX MCP
Single MCP tool to connect all your favorite tools: Gmail, Calendar and 40 more.
graphlit-mcp-server
The Model Context Protocol (MCP) Server enables integration between MCP clients and the Graphlit service. Ingest anything from Slack to Gmail to podcast feeds, in addition to web crawling, into a Graphlit project - and then retrieve relevant contents from the MCP client.
Kagi MCP Server
An MCP server that integrates Kagi search capabilities with Claude AI, enabling Claude to perform real-time web searches when answering questions that require up-to-date information.
E2B
Using MCP to run code via e2b.
Neon Database
MCP server for interacting with Neon Management API and databases
Exa Search
A Model Context Protocol (MCP) server lets AI assistants like Claude use the Exa AI Search API for web searches. This setup allows AI models to get real-time web information in a safe and controlled way.
Qdrant Server
This repository is an example of how to create a MCP server for Qdrant, a vector search engine.