TuneWorks for LangChain
io.github.chrismore/tuneworks
Motorsports workspace for vehicles, setups, sessions, logs, maintenance, and race engineering.
client:LangChain
transport:streamable-http
tools:96
Install TuneWorks in LangChain
pip install langchain-mcp-adapters
from langchain_mcp_adapters.client import MultiServerMCPClient
client = MultiServerMCPClient({
"tuneworks": {
"transport": "streamable_http",
"url": "https://tuneworks.ai/mcp",
}
})
tools = await client.get_tools()
get_tools() returns the server's tools as LangChain tools, ready for an agent. LangChain docs
What LangChain can do once it is connected
- calculate_race_fuel_and_weight
- calculate_gear_ratio_speed
- calculate_tire_pressure_adjustment
- calculate_corner_balance
- calculate_spring_wheel_rate
- calculate_fuel_injector_size
- convert_afr_lambda
- calculate_brake_bias
- compare_tire_sizes
- check_race_alignment
- calculate_lap_time_delta
- calculate_ethanol_blend
- diagnose_handling_issue
- analyze_tire_temperatures
- recommend_autocross_damper_adjustment
- find_autocross_sites
- get_tuneworks_app_capabilities
- create_vehicle
- update_vehicle
- list_vehicle_modifications
- get_vehicle_modification
- create_vehicle_modification
- update_vehicle_modification
- archive_vehicle_modification