Customer Thermometer MCP by usefulapi for LangChain
io.usefulapi/customer-thermometer
Read Thermometers, scores, response rates, survey responses and comments in Customer Thermometer.
client:LangChain
transport:streamable-http
tools:10
Install Customer Thermometer MCP by usefulapi in LangChain
pip install langchain-mcp-adapters
from langchain_mcp_adapters.client import MultiServerMCPClient
client = MultiServerMCPClient({
"customer-thermometer": {
"transport": "streamable_http",
"url": "https://customer-thermometer.usefulapi.io/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
- customerthermometer_list_thermometers
- customerthermometer_list_recipient_lists
- customerthermometer_get_send_quota
- customerthermometer_get_happiness_value
- customerthermometer_get_nps_value
- customerthermometer_get_temperature_rating
- customerthermometer_get_response_rate
- customerthermometer_count_responses
- customerthermometer_get_blast_results
- customerthermometer_get_comments