Trigger fetch of latest data from Plaid
Pulls live financial data from banks
Part of the Lunch Money MCP server. Enforce policies on this tool with Intercept, the open-source MCP proxy.
AI agents invoke trigger_plaid_fetch to trigger processes or run actions in Lunch Money. Execute operations can have side effects beyond the immediate call -- triggering builds, sending notifications, or starting workflows. Rate limits and argument validation are essential to prevent runaway execution.
trigger_plaid_fetch can trigger processes with real-world consequences. An uncontrolled agent might start dozens of builds, send mass notifications, or kick off expensive compute jobs. Intercept enforces rate limits and validates arguments to keep execution within safe bounds.
Execute tools trigger processes. Rate-limit and validate arguments to prevent unintended side effects.
tools:
trigger_plaid_fetch:
rules:
- action: allow
rate_limit:
max: 10
window: 60
validate:
required_args: trueSee the full Lunch Money policy for all 29 tools.
Agents calling execute-class tools like trigger_plaid_fetch have been implicated in these attack patterns. Read the full case and prevention policy for each:
Other tools in the Execute risk category across the catalogue. The same policy patterns (rate-limit, validate) apply to each.
trigger_plaid_fetch is one of the high-risk operations in Lunch Money. For the full severity-focused view — only the high-risk tools with their recommended policies — see the breakdown for this server, or browse all high-risk tools across every MCP server.
Trigger fetch of latest data from Plaid. It is categorised as a Execute tool in the Lunch Money MCP Server, which means it can trigger actions or run processes. Use rate limits and argument validation.
Add a rule in your Intercept YAML policy under the tools section for trigger_plaid_fetch. You can allow, deny, rate-limit, or validate arguments. Then run Intercept as a proxy in front of the Lunch Money MCP server.
trigger_plaid_fetch is a Execute tool with high risk. Execute tools should be rate-limited and have argument validation enabled.
Yes. Add a rate_limit block to the trigger_plaid_fetch 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 trigger_plaid_fetch. 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.
trigger_plaid_fetch is provided by the Lunch Money MCP server (@akutishevsky/lunchmoney-mcp). Intercept sits as a proxy in front of this server to enforce policies before tool calls reach the server.
Deterministic policy on every MCP tool call. Per-identity grants. Full audit log.