auralogs / setup / langgraph
Setup guide
Set up Auralogs in LangGraph
communitystreamable_httpverifiedno verified config · noindex
Read-only access to Auralogs production logs: search logs, inspect errors, review AI analyses.
01Configuration
# Auralogs via LangGraph
# transport: streamable_http
# launch: https://mcp.auralogs.ai/mcp
LangGraph connects to MCP servers in code. Use its MCP client with the command/URL below; exact API varies by version.
02Steps
- Make sure LangGraph is installed and up to date.
- Wire the server into LangGraph using its MCP client API.
- Provide any required API keys/credentials as environment variables.
- Restart LangGraph and confirm Auralogs’s tools appear.
03Other runtimes
04Provenance
config_sourcegenerated from captured install method
last_checked2026-06-30 00:53Z
sourcesOfficial MCP Registry [p1]
Next step
Ship Auralogs to your agents as a governed Loadout — config, scopes, and approval rules in one place.
Build a LoadoutSee also: server page · is it safe? · alternatives