AI agents use update_integration to create or update resources in Nango — usually the action step of a workflow, after the agent has gathered context. Every call changes real data in your Nango environment.
This tool creates or modifies integration data within the Nango platform. Updates to integrations can affect authentication flows, API credentials, and connection behavior for multiple dependent systems, creating moderate blast radius if misconfigured.
From the tool's definition Tool name 'update_integration' with description 'Patch a Nango integration' indicates modification of existing integration configuration data. The verb 'patch' confirms reversible update semantics.
Attacks that exploit this kind of access
Patch a Nango integration. It is categorised as a Write tool in the Nango MCP Server, which means it can create or modify data. Consider rate limits to prevent runaway writes.
Register the Nango MCP server in PolicyLayer and add a rule for update_integration: allow, deny, rate-limit, or require approval. Point your MCP client at the PolicyLayer proxy URL and the rule is enforced on every call, before it reaches Nango. Nothing to install.
update_integration is a Write tool with medium risk. Write tools should be rate-limited to prevent accidental bulk modifications.
Yes. Add a rate_limit block to the update_integration rule in your PolicyLayer policy. For example, setting max: 10 and window: 60 limits the tool to 10 calls per minute. Rate limits are tracked per agent session and reset automatically.
Set action: deny in the PolicyLayer policy for update_integration. The AI agent will receive a policy violation error and cannot call the tool. You can also include a reason field to explain why the tool is blocked.
update_integration is provided by the Nango MCP server (levsky22/nango-mcp-server). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
Every MCP server has a record like this.
Type a name, get the same breakdown: verified identity, auth posture, risk grade, capabilities, recommended policy.
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