Engagedly MCP by usefulapi for LangChain
io.usefulapi/engagedly
Read employees, learning progress, certificates and recognition in Engagedly.
client:LangChain
transport:streamable-http
tools:20
Install Engagedly MCP by usefulapi in LangChain
pip install langchain-mcp-adapters
from langchain_mcp_adapters.client import MultiServerMCPClient
client = MultiServerMCPClient({
"engagedly": {
"transport": "streamable_http",
"url": "https://engagedly.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
- engagedly_list_users
- engagedly_get_user
- engagedly_get_user_permissions
- engagedly_list_user_attributes
- engagedly_list_block_reason_codes
- engagedly_list_departments
- engagedly_get_department
- engagedly_list_businesses
- engagedly_get_business
- engagedly_list_locations
- engagedly_get_location
- engagedly_list_job_titles
- engagedly_get_job_title
- engagedly_list_permissions
- engagedly_list_praises
- engagedly_list_learning_resources
- engagedly_get_learning_resource_contents
- engagedly_get_learner_report
- engagedly_list_certificates
- engagedly_get_certificate