FlowStudio MCP provides AI agents with detailed visibility into Power Automate flows, including action-level inputs, outputs, and error details, which are not accessible through the Graph API.
From the registry: Debug, build, and manage Power Automate cloud flows with AI agents

Please install the `flowstudio-mcp` MCP server into my current AI client (that's you).
Required prerequisites (do these first if not already done):
- **FlowStudio subscription** — A FlowStudio MCP subscription is required for live tools; monitoring/governance tools need FlowStudio for Teams or MCP Pro+ (https://mcp.flowstudio.app)
- **Get API key / JWT token** — Get your token at mcp.flowstudio.app (https://mcp.flowstudio.app)
Canonical MCP server config (HTTP transport):
- url: `https://mcp.flowstudio.app/mcp`
- headers:
- `x-api-key`: `<your-flowstudio-api-key>`
Note: Power Automate Skills for AI Agents — gives agents visibility into flow runs, action inputs/outputs, and governance metadata.
Add this MCP server to my current client's config in the correct format for you. If you need secrets or credentials I haven't provided, ASK me — do not invent values or leave raw placeholders. After adding it, tell me how to verify the server is connected.x-api-keyrequiredAPI key required to connect to the MCP server.Real-time infrastructure monitoring with metrics, logs, alerts, and ML-based anomaly detection.
Validate oh-my-posh configurations and segment snippets against the official schema.
Real-time Kubernetes network traffic visibility and API analysis for HTTP, gRPC, Redis, Kafka, DNS.