tlly for LangChain
dev.tlly/tlly
Hosted dashboards and scheduled data jobs for AI agents, with thresholds, alerts and share links.
client:LangChain
transport:streamable-http
tools:30
Install tlly in LangChain
pip install langchain-mcp-adapters
from langchain_mcp_adapters.client import MultiServerMCPClient
client = MultiServerMCPClient({
"tlly": {
"transport": "streamable_http",
"url": "https://tlly.dev/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_dashboard
- update_dashboard
- list_dashboard_versions
- publish_dashboard_version
- rotate_dashboard_url
- list_dashboards
- delete_dashboard
- push_points
- get_series
- list_series
- delete_series
- define_derived
- list_secrets
- test_job
- create_job
- import_once
- update_job
- list_jobs
- run_job_now
- delete_job
- get_status
- get_usage
- add_annotations
- list_annotations