jsbsim-mcp
Provides the JSBSim flight-dynamics engine as an MCP service, enabling AI agents to control and simulate aircraft in real-time through natural language.
README
title: jsbsim-mcp emoji: ✈️ colorFrom: blue colorTo: indigo sdk: docker app_port: 7860 app_file: app.py pinned: false license: apache-2.0 short_description: JSBSim flight-dynamics engine as a self-hosted MCP service
jsbsim-mcp — Self-Hosted MCP Service
JSBSim flight dynamics, exposed as an MCP service you run locally. Bring your own compute —
pip installordocker run, plug into any MCP-aware agent.
This is the Self-Hosted distribution of jsbsim-mcp. It is not a hosted endpoint — you deploy it locally and bind it as an MCP stdio server to Claude Desktop / Claude Code / Cursor / Codex.
For the deployed hosted version, see the HF Space mirror (separate project).
1. Install
Option A — pip (recommended for Claude Desktop / Cursor / Codex)
pip install -e .
# or:
# pip install git+https://github.com/flyintothesky/jsbsim-mcp.git
Requires Python ≥ 3.10 and jsbsim == 1.3.1.
Option B — Docker (recommended for sandboxing)
docker build -t jsbsim-mcp .
docker run --rm -it jsbsim-mcp stdio
Option C — From this repo
git clone https://github.com/flyintothesky/jsbsim-mcp
cd jsbsim-mcp
pip install -r requirements.txt
python -m scripts.slim_data # optional, ~24 MB → saves MB
python run_stdio.py
2. Wire into Claude Desktop / Cursor / Codex
claude_desktop_config.json (or its equivalent for your client):
{
"mcpServers": {
"jsbsim-fdm-local": {
"command": "python",
"args": ["/abs/path/to/jsbsim-mcp/run_stdio.py"]
}
}
}
Restart Claude. Tools list appears:
list_aircraft create_session close_session
set_initial_conditions trim step
get_property set_property get_telemetry
execute_script
3. (Optional) Run the bundled web dashboard
Want a browser UI for the simulation? Run the same code as an HTTP server:
python app.py # → http://localhost:7860/
- Live PFD
- 3D attitude indicator
- Time-series charts (altitude / speed / alpha / thrust)
- WebSocket telemetry at ~20 Hz
- Browser-side MCP JSON-RPC console
Works inside Docker as well:
docker run --rm -p 7860:7860 jsbsim-mcp
# then visit http://localhost:7860/
4. Tool reference (10 tools)
| Tool | Summary |
|---|---|
list_aircraft |
List 60+ bundled aircraft names |
create_session |
Spin up a session, return session_id |
close_session |
Tear it down |
set_initial_conditions |
Apply altitude / airspeed / heading etc. |
trim |
Iteratively balances elevator for level flight |
step |
Advance N simulated seconds |
get_property |
Read any JSBSim property by path |
set_property |
Write any JSBSim property |
get_telemetry |
One-shot 40+ scalar frame |
execute_script |
Load a <run> JSBSim script |
Full schema: docs/API.md.
5. Architecture
src/engine/ JSBSim wrapper + session pool + telemetry
src/server/ MCP protocol adapter (FastMCP, stdio + HTTP)
src/dashboard/ FastAPI dashboard + WebSocket broadcaster
app.py Combined ASGI dispatcher (HTTP + WS + MCP)
run_stdio.py Stdio entry for local Claude clients
LGPL-2.1 boundary preserved (JSBSim is dynamically linked). See
THIRD_PARTY_NOTICES.md.
Why Self-Hosted?
JSBSim's open-source license permits redistribution, but the model files (60 aircraft, ~30 MB) and C++ simulator itself are heavy. The practical way to consume this in agents is:
pip installonce.- Run per-developer as an MCP server via stdio.
- Optionally start the dashboard for human-in-the-loop.
This avoids round-tripping 60 aircraft over a public MCP endpoint and keeps your proprietary IC files local.
If you want a centrally hosted version for a team, see the
self-hosted Docker recipe in docs/DEPLOY_MODELSCOPE.md — point your
own HF Space / Render / Fly.io at the same source.
License
- This project: Apache-2.0
- JSBSim dependency: LGPL-2.1
See LICENSE and THIRD_PARTY_NOTICES.md.
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