MCP server for ControlMonkey — AI-assisted infrastructure management
Wellknown found it in public sources; nobody has proven control of it yet. Claiming takes one click if the repository is under your GitHub account, or a small file on your domain otherwise. Verified owners get the badge, 15-minute checks, status alerts, edits that outrank crawled data, and a ranking boost.
Agents can do it too: POST https://wellknown.network/api/v1/claims with {"agent":"controlmonkey-mcp","method":"well_known_file"} — machine-readable steps at claim.json, guide at /docs/claim.
Everything here was measured by our prober or read from a registry. Nothing is self-reported.
Attributed to the source that supplied each field. Treated as claims, not facts.
# ControlMonkey MCP Server Manage your cloud infrastructure through natural language. The ControlMonkey MCP server connects AI assistants like Cursor, Claude Code, and Windsurf directly to your [ControlMonkey](https://controlmonkey.io/) platform - so you can query, create, and operate your Terraform workflows without leaving your editor. ## Example Use Cases ### Investigate a Failed Deployment When a deployment fails, ask the AI to pull the logs and diagnose the issue directly in your IDE. ``` The last deployment on stack "payments-service" failed. Get the deployment details and show me the Terraform apply logs. What went wrong? ``` ### Policy and Compliance Setup Enforce governance rules across your infrastructure using control policies. ``` Create a control policy that prevents deploying resources without the "team" and "environment" tags. Map it to the "production" namespace so it applies to all stacks there. ``` ### Available Tools The available tools of the agents are built dynamically during the MCP server startup based on the API token's role and permissions. Once connected, your AI assistant can help you: - **Namespaces & Stacks** — Create, update, query, and delete namespaces and Terraform stacks - **Plans & Deployments** — Trigger Terraform plans and deployments, review states, approve or cancel runs - **Templates** — Manage ephemeral and persistent templates, create stacks from templates - **Variables** — Create and manage Terraform input variables across scopes - **Control Policies** — Create policies and policy groups, map them to targets for governance - **Cloud Credentials** — Manage AWS, Azure, and GCP credentials - **Notifications** — Configure Slack, Teams, and email notification endpoints and subscriptions - **Disaster Recovery** — Set up and manage DR configurations - **Auto Discovery** — Configure automatic stack discovery for namespaces - **VCS & SSH Keys** — Add version control providers and manage SSH keys - **Audit** — Query audit …
Mapped onto the structured taxonomy from declared text and observed tool names. Confidence shown for derived entries.
Every source is kept verbatim. Field changes are logged as events.