Klarefi for LangChain
com.klarefi/mcp
Complete regulated intake work and retrieve cited case files without deciding the case.
client:LangChain
transport:streamable-http
runtime:npm
tools:20
Install Klarefi in LangChain
pip install langchain-mcp-adapters
from langchain_mcp_adapters.client import MultiServerMCPClient
client = MultiServerMCPClient({
"mcp": {
"transport": "streamable_http",
"url": "https://www.klarefi.com/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
- create_connector_from_openapi
- create_connector
- delete_connector
- create_intake_session
- get_case
- list_operator_queue
- get_case_workspace
- get_case_package
- submit_case_review
- get_review_command
- list_workflows
- save_workflow_draft
- open_intake
- get_intake_state
- answer_question
- answer_fields
- upload_document
- submit_intake
- save_intake_draft
- wait_for_next_action