Open the Stripe Dashboard in the user's browser. Provides access to the full Stripe account overview including payments, payouts, and settings.
Part of the Ra Pay MCP server. Enforce policies on this tool with Intercept, the open-source MCP proxy.
AI agents use ra_dashboard to create or modify resources in Ra Pay. Write operations carry medium risk because an autonomous agent could trigger bulk unintended modifications. Rate limits prevent a single agent session from making hundreds of changes in rapid succession. Argument validation ensures the agent passes expected values.
Without a policy, an AI agent could call ra_dashboard repeatedly, creating or modifying resources faster than any human could review. Intercept's rate limiting ensures write operations happen at a controlled pace, and argument validation catches malformed or unexpected inputs before they reach Ra Pay.
Write tools can modify data. A rate limit prevents runaway bulk operations from AI agents.
tools:
ra_dashboard:
rules:
- action: allow
rate_limit:
max: 30
window: 60See the full Ra Pay policy for all 8 tools.
Agents calling write-class tools like ra_dashboard have been implicated in these attack patterns. Read the full case and prevention policy for each:
Other tools in the Write risk category across the catalogue. The same policy patterns (rate-limit, validate) apply to each.
Open the Stripe Dashboard in the user's browser. Provides access to the full Stripe account overview including payments, payouts, and settings.. It is categorised as a Write tool in the Ra Pay MCP Server, which means it can create or modify data. Consider rate limits to prevent runaway writes.
Add a rule in your Intercept YAML policy under the tools section for ra_dashboard. You can allow, deny, rate-limit, or validate arguments. Then run Intercept as a proxy in front of the Ra Pay MCP server.
ra_dashboard 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 ra_dashboard rule in your Intercept 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 Intercept policy for ra_dashboard. 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.
ra_dashboard is provided by the Ra Pay MCP server (@rapay/mcp-server). Intercept sits as a proxy in front of this server to enforce policies before tool calls reach the server.
Open source. One binary. Zero dependencies.
npx -y @policylayer/intercept