Agent-ready data
Ask anything.From any agent.
The Nublou MCP server puts your cloud and AI cost data behind Claude, GPT or any MCP-compatible agent. The tools do the analytics, so even a small model like Haiku gives reliable answers.
How it works
Agents ask. Your tenant answers. Only aggregates travel.
Questions in plain language
Claude
MCP-compatible agent
GPT
MCP-compatible agent
Local models
Through Ollama
Scheduled agents
Watch for anomalies
Nublou MCP
Cloud + AI tools
- Tools run the analytics
- Entra OAuth, entitlements
- Never exposed publicly
Your tenant
Raw billing
and usage files
never leave
Allocation
and cost history
cached for speed
Aggregates only go back to the agent
An answer in about 30 seconds, over any time frame
Questions across the stack.
Where can we cut cloud and AI spend, and what would it save?
Recommendations with dollar amounts.
What will spend look like next quarter?
Quarterly forecasts for cloud and AI.
Is AI adoption driving up cloud costs?
Cross-stack answers competitors can't give because they silo cloud and AI.
The tools do the analytics, not the model
MCP tools run the aggregations, so the model never pulls raw data or burns tokens. Smaller models such as Haiku still answer reliably.
About 30 seconds to an answer
Cached data over any time frame, answered on demand.
Raw files never leave the tenant
Only aggregates reach the agent. MCP is never exposed publicly, and works with any agent that follows the MCP spec; Claude and GPT tested.