{"$schema":"https://wellknown.network/schemas/agent-record-v1.json","schemaVersion":"1","id":"ag_abyrvgkbft9u","handle":"controlmonkey-mcp","url":"https://wellknown.network/agents/controlmonkey-mcp","links":{"self":"https://wellknown.network/agents/controlmonkey-mcp/record.json","html":"https://wellknown.network/agents/controlmonkey-mcp","markdown":"https://wellknown.network/agents/controlmonkey-mcp/record.md","api":"https://wellknown.network/api/v1/agents/controlmonkey-mcp","status":"https://wellknown.network/api/v1/agents/controlmonkey-mcp/status","claim":"https://wellknown.network/agents/controlmonkey-mcp/claim","claimApi":"https://wellknown.network/api/v1/claims","claimDescriptor":"https://wellknown.network/agents/controlmonkey-mcp/claim.json","badge":"https://wellknown.network/agents/controlmonkey-mcp/badge.svg","openapi":"https://wellknown.network/openapi.json","history":"https://wellknown.network/api/v1/agents/controlmonkey-mcp/history","tools":"https://wellknown.network/api/v1/agents/controlmonkey-mcp/tools"},"ard":{"identifier":"urn:air::server:controlmonkey-mcp","type":"application/mcp-server-card+json"},"kind":"mcp_server","declared":{"name":"controlmonkey-mcp","summary":"MCP server for ControlMonkey — AI-assisted infrastructure management","description":"# ControlMonkey MCP Server\n\nManage 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.\n\n## Example Use Cases\n\n### Investigate a Failed Deployment\n\nWhen a deployment fails, ask the AI to pull the logs and diagnose the issue directly in your IDE.\n```\nThe last deployment on stack \"payments-service\" failed.\nGet the deployment details and show me the Terraform apply logs.\nWhat went wrong?\n```\n\n### Policy and Compliance Setup\n\nEnforce governance rules across your infrastructure using control policies.\n```\nCreate a control policy that prevents deploying resources without\nthe \"team\" and \"environment\" tags. Map it to the \"production\"\nnamespace so it applies to all stacks there.\n```\n\n### Available Tools\n\nThe available tools of the agents are built dynamically during the MCP server startup based on the API token's role and permissions.\nOnce connected, your AI assistant can help you:\n\n- **Namespaces & Stacks** — Create, update, query, and delete namespaces and Terraform stacks\n- **Plans & Deployments** — Trigger Terraform plans and deployments, review states, approve or cancel runs\n- **Templates** — Manage ephemeral and persistent templates, create stacks from templates\n- **Variables** — Create and manage Terraform input variables across scopes\n- **Control Policies** — Create policies and policy groups, map them to targets for governance\n- **Cloud Credentials** — Manage AWS, Azure, and GCP credentials\n- **Notifications** — Configure Slack, Teams, and email notification endpoints and subscriptions\n- **Disaster Recovery** — Set up and manage DR configurations\n- **Auto Discovery** — Configure automatic stack discovery for namespaces\n- **VCS & SSH Keys** — Add version control providers and manage SSH keys\n- **Audit** — Query audit …","publisher":null,"homepage":"https://docs.controlmonkey.io/","repository":null,"version":"1.0.2","license":null,"protocols":["mcp"],"tags":["ai","automation","aws","azure","cloud","controlmonkey","devops","gcp","iac","infrastructure-as-code","mcp","model-context-protocol","terraform"],"pricing":null,"endpoints":[{"url":"pypi:controlmonkey-mcp","type":"package_pypi","auth":null,"probeable":false}],"skills":null,"tools":null,"extra":null,"attribution":{"kind":"pypi","name":"pypi","summary":"pypi","version":"pypi","description":"pypi","homepageUrl":"pypi"}},"derived":{"capabilities":[{"slug":"infra.cloud","name":"Cloud Platforms","confidence":1,"provenance":"declared"},{"slug":"commerce.payments","name":"Payments","confidence":0.814,"provenance":"derived"},{"slug":"communication.chat","name":"Team Chat","confidence":0.756,"provenance":"derived"}],"categories":["commerce","communication","infra"],"language":"en"},"observed":{"status":"unknown","statusReason":"Distributed as a package to run locally; no network endpoint to check.","lastOkAt":null,"lastProbedAt":null,"statusComputedAt":null,"reliability30d":null,"latestObservations":[],"tools":null,"package":{"name":"controlmonkey-mcp","registry":"pypi","observedAt":"2026-11-03T00:27:53.288Z","publishedAt":"2026-10-19T10:45:27.759549Z","latestVersion":"1.0.2"},"toolSurface":null,"endpointFacts":[]},"verification":{"claimed":false,"claimedAt":null,"proofs":[]},"provenance":{"sources":[{"source":"pypi","key":"controlmonkey-mcp","url":"https://pypi.org/project/controlmonkey-mcp/","firstSeenAt":"2026-09-09T13:20:27.976Z","fetchedAt":"2026-11-03T00:26:01.353Z","normalizedAt":"2026-11-03T00:26:01.353Z"}]},"firstSeenAt":"2026-09-09T13:20:27.976Z","updatedAt":"2026-11-03T00:27:53.288Z"}