You'd reach for this when you need to put guardrails around AI systems in production. It handles policy enforcement to prevent unwanted model behavior, tracks and caps spending across API calls, and gives you visibility into what your AI is actually doing. The specifics of what APIs it exposes aren't detailed in the source, but the governance angle suggests rule definition, budget thresholds, and logging hooks. If you're running Claude or other LLMs at scale and need to control costs or ensure compliance, this sits between your application and the model to enforce those constraints.
FULCRUM_API_ENDPOINTThe Fulcrum gRPC API endpoint (e.g., localhost:50051)
FULCRUM_TENANT_IDYour Fulcrum tenant identifier
FULCRUM_API_KEYAPI key for authentication (optional for local development)
io.github.infoinlet-marketplace/mcp-observability
betterdb-inc/monitor
com.mcparmory/datadog
thotischner/observability-mcp
io.github.tantiope/datadog-mcp
io.github.us-all/datadog