DigitalOcean Insights MCP Server: Governed AI Access

DigitalOcean Insights's MCP server includes 17 different actions available to any connected model or AI agent. When registered with Barndoor, you can ensure centralized governance, visibility, and control across every AI agent your team uses.

Tools 17
Capabilities Create, Delete, Read, Update
Category DevOps & Infrastructure
Type Barndoor Hosted

What can AI agents do with the DigitalOcean Insights MCP server?

Tools Available

• uptimecheck-create
  create
  Create a new DigitalOcean uptime check.
• uptimecheck-list
  read
  List DigitalOcean uptime checks with pagination.
• uptimecheck-get
  read
  Get details for a DigitalOcean uptime check by ID.
• uptimecheck-update
  update
  Update an existing DigitalOcean uptime check.
• uptimecheck-delete
  delete
  Delete a DigitalOcean uptime check.
• alert-policy-create
  create
  Create a new DigitalOcean monitoring alert policy.

See full list →

Use cases for DigitalOcean Insights

• Uptime Monitoring

  • "Check availability and uptime"
  • "Create and manage uptime checks"
  • "Configure check alerts and notifications"

• Alert Management

  • "Create monitoring alert policies"
  • "Configure alert thresholds and rules"
  • "Manage alert lifecycle"

• Infrastructure Health

  • "Get uptime check state and status"
  • "List regions with feature availability"
  • "Monitor infrastructure availability"

• Alert Automation

  • "Automate alert policy creation"
  • "Batch update alert configurations"
  • "Streamline uptime alert setup"

What are the risks of using the DigitalOcean Insights MCP without an AI gateway?

• Uncontrolled reads — AI agents can pull data out of DigitalOcean Insights with no visibility into what was accessed.
• Ungoverned writes — agents can create or modify records in DigitalOcean Insights with no approval step.
• Destructive actions — agents can delete or overwrite DigitalOcean Insights data with no approval gate or audit trail.

Why connect DigitalOcean Insights with the Barndoor AI gateway?

Barndoor MCP Governance is the gateway between your AI agents and the tools they use.

• Centralized MCP management — One place to manage and control every MCP server across the organization so your team has an approved catalog of MCP servers that employees and AI agents connect through.
• Universal connection — One universal URL works across every AI provider your team uses.
• Fine-grained access controls — Set access policies for how AI is connecting with DigitalOcean Insights based on human identities, agent profiles, tool-access, context, and data fields.
• Protect sensitive data — Keeps sensitive data from reaching a model or AI agent with PII detection, masking, tokenization, redaction, and more.
• Observability — Real-time reporting and dashboards that give you visibility into what AI is doing with DigitalOcean Insights, how policies are being enforced, and who (human or agent) is doing what.
• Enterprise-grade security — Stay compliant with audit trails and logging.

Works with every AI client

ChatGPT](/content/integrations/chatgpt/index.html)


Claude Code](/content/integrations/claude-code/index.html)


Claude Desktop](/content/integrations/claude-desktop/index.html)


Codex](/content/integrations/codex/index.html)


CrewAI](/content/integrations/crewai/index.html)


Cursor](/content/integrations/cursor/index.html)


Gemini CLI](/content/integrations/gemini-cli/index.html)


GitHub Copilot](/content/integrations/github-copilot/index.html)


Google ADK](/content/integrations/google-adk/index.html)


LangChain](/content/integrations/langchain/index.html)


Microsoft Copilot](/content/integrations/microsoft-copilot/index.html)


OpenClaw](/content/integrations/openclaw/index.html)

Getting started with DigitalOcean Insights in Barndoor

1. Connect the DigitalOcean Insights MCP server once
2. Define your policies
3. Go live across every AI client

See the full setup guide →

Frequently asked questions

What is MCP?
MCP (Model Context Protocol) is the open standard that lets AI models and agents connect to external tools and data sources through a common interface, instead of a custom integration for every tool. DigitalOcean Insights is an MCP server that exposes a defined set of tools an AI agent can call. Barndoor sits at that connection point, applying access policies and audit logging to every tool call regardless of which AI client is making it.

Is Barndoor secure?
Yes. Barndoor is SOC 2 Type II compliant. Barndoor enforces fine-grained access control, requires approval before destructive actions, protects sensitive data with data loss prevention, and logs every action for audit.

How are DigitalOcean Insights schema changes handled?
Barndoor tracks tool and schema changes on DigitalOcean Insights. New or changed tools inherit deny-by-default access until an admin reviews and approves them, keeping runtime enforcement current without manual reconfiguration. Every schema change is captured in the audit trail alongside who approved it.

Do you integrate with my identity provider?
Barndoor authenticates admins and policy managers through your OIDC or SAML 2.0 identity provider. Signing into Claude, Cursor, or ChatGPT still happens directly with those providers. Barndoor's integration point is the DigitalOcean Insights connection where access policies apply to what an agent can do once it's connected.

Do users have to enter tokens manually?
No. Barndoor brokers the OAuth connection to DigitalOcean Insights centrally, so users and agents never handle or store a standing token themselves. Access is granted and revoked through policy instead of shared credentials.

How does Barndoor integrate with AI agent identities?
Barndoor gives each AI agent its own governed identity called an AgentProfile, separate from the human who configured or uses it. AgentProfile lets policies and audit logs attribute a given action to the specific agent, not a shared service token, so you can set different access rules per agent and revoke one agent's access without affecting others.

Can I deploy custom-built MCP servers?
Yes. Barndoor supports customer-built MCPs, so internal tools and systems your team builds get the same policy enforcement and audit trail as Barndoor MCPs and official MCPs.

Can I set and audit tool-level access across teams?
Yes. Barndoor's access control is fine-grained, down to the agent, team, group, user, MCP server, the specific tool call, and the data type involved. Every call is logged with a timestamp, the user or agent calling it, the client it came from, and the result of the policy applied, so you can see exactly who or what did what, when, and whether it was allowed, across any team or role.

How can I get started with DigitalOcean Insights and Barndoor?
Connect DigitalOcean Insights once, define your access policies, and go live across every AI client your team uses. Setup takes three steps: connect the server, define policies by role or agent, and roll out to Claude, Cursor, ChatGPT, and any other MCP-compatible client. Request a demo at barndoor.ai/get-a-demo to learn more.

Connect DigitalOcean Insights to your AI agents with Barndoor.

Join AI-forward enterprises using Barndoor MCP Governance to manage and secure DigitalOcean Insights integrations with AI and AI agents.