Hyperhuman for LangChain
cc.hyperhuman/hyperhuman
Create, personalize and deliver branded workouts and programs from any AI assistant.
client:LangChain
transport:streamable-http
tools:45
Install Hyperhuman in LangChain
pip install langchain-mcp-adapters
from langchain_mcp_adapters.client import MultiServerMCPClient
client = MultiServerMCPClient({
"hyperhuman": {
"transport": "streamable_http",
"url": "https://mcp.hyperhuman.cc/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
- get_integration_plan
- list_sample_workouts
- get_workout_details
- get_workout_playlist
- get_embed_code_samples
- list_team_workouts
- get_team_workout
- list_team_programs
- get_team_program
- list_team_goals
- list_workout_categories
- list_muscle_groups
- list_equipment
- get_team_usage
- get_session_summary
- get_api_usage_stats
- list_team_drops
- get_dashboard_summary
- create_drop
- regenerate_drop_copy
- regenerate_drop_cover
- export_drop
- generate_program
- create_workout