Workyard MCP by usefulapi for LangChain
io.usefulapi/workyard
Read Workyard employees, projects, time cards and geofences; approve time cards and add notes.
client:LangChain
transport:streamable-http
tools:12
Install Workyard MCP by usefulapi in LangChain
pip install langchain-mcp-adapters
from langchain_mcp_adapters.client import MultiServerMCPClient
client = MultiServerMCPClient({
"workyard": {
"transport": "streamable_http",
"url": "https://workyard.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
- workyard_get_organization
- workyard_list_employees
- workyard_list_projects
- workyard_get_project
- workyard_list_time_cards
- workyard_get_time_card
- workyard_list_time_card_activity_segments
- workyard_list_geofences
- workyard_list_active_geofences
- workyard_list_geofence_projects
- workyard_approve_time_card
- workyard_add_time_card_note