Algenta MCP Server for LangChain
io.github.thyn-ai/algenta
Governed data discovery, exact queries, decisions, simulations, and runtime utilities over MCP.
client:LangChain
transport:streamable-http
runtime:pypi
tools:140
Install Algenta MCP Server in LangChain
pip install langchain-mcp-adapters
from langchain_mcp_adapters.client import MultiServerMCPClient
client = MultiServerMCPClient({
"algenta": {
"transport": "streamable_http",
"url": "https://api.algenta.ai/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
- onboard_dataset
- list_datasets
- get_dataset_status
- retrain_dataset
- connect_data
- list_data
- get_data_summary
- get_data_schema
- refresh_data
- disconnect_data
- register_source
- list_sources
- get_source_schema
- list_connectors
- create_connector
- get_connector
- update_connector
- test_connector
- browse_connector
- preview_test_connector
- preview_browse_connector
- delete_connector
- get_repository_intelligence_capabilities
- create_repository_snapshot