TalentLyft MCP by usefulapi for LangChain
io.usefulapi/talentlyft
Read jobs, candidates and applications; add candidate notes and move applications in TalentLyft.
client:LangChain
transport:streamable-http
tools:14
Install TalentLyft MCP by usefulapi in LangChain
pip install langchain-mcp-adapters
from langchain_mcp_adapters.client import MultiServerMCPClient
client = MultiServerMCPClient({
"talentlyft": {
"transport": "streamable_http",
"url": "https://talentlyft.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
- talentlyft_list_jobs
- talentlyft_get_job
- talentlyft_list_job_stages
- talentlyft_list_candidates
- talentlyft_get_candidate
- talentlyft_list_candidate_activities
- talentlyft_get_application
- talentlyft_list_pipelines
- talentlyft_list_departments
- talentlyft_list_members
- talentlyft_list_rejection_reasons
- talentlyft_list_events
- talentlyft_add_candidate_note
- talentlyft_move_application_to_stage