High Risk →

invoke_catalog_api

Actually call a catalog API and return its response. Get api_id from browse_catalog first. endpoint is the path to hit. params is a JSON string of query parameters (e.g. '{"q":"test"}').

Accepts URL/endpoint input (endpoint)

Part of the AiPayGen MCP server. Enforce policies on this tool with Intercept, the open-source MCP proxy.

aipaygen-mcp Execute Risk 3/5

AI agents invoke invoke_catalog_api to trigger processes or run actions in AiPayGen. 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.

invoke_catalog_api 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.

aipaygen.yaml
tools:
  invoke_catalog_api:
    rules:
      - action: allow
        rate_limit:
          max: 10
          window: 60
        validate:
          required_args: true

See the full AiPayGen policy for all 106 tools.

Tool Name invoke_catalog_api
Category Execute
MCP Server AiPayGen MCP Server
Risk Level High

View all 106 tools →

Agents calling execute-class tools like invoke_catalog_api have been implicated in these attack patterns. Read the full case and prevention policy for each:

Browse the full MCP Attack Database →

Other tools in the Execute risk category across the catalogue. The same policy patterns (rate-limit, validate) apply to each.

invoke_catalog_api is one of the high-risk operations in AiPayGen. 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.

What does the invoke_catalog_api tool do? +

Actually call a catalog API and return its response. Get api_id from browse_catalog first. endpoint is the path to hit. params is a JSON string of query parameters (e.g. '{"q":"test"}'). . It is categorised as a Execute tool in the AiPayGen MCP Server, which means it can trigger actions or run processes. Use rate limits and argument validation.

How do I enforce a policy on invoke_catalog_api? +

Add a rule in your Intercept YAML policy under the tools section for invoke_catalog_api. You can allow, deny, rate-limit, or validate arguments. Then run Intercept as a proxy in front of the AiPayGen MCP server.

What risk level is invoke_catalog_api? +

invoke_catalog_api is a Execute tool with high risk. Execute tools should be rate-limited and have argument validation enabled.

Can I rate-limit invoke_catalog_api? +

Yes. Add a rate_limit block to the invoke_catalog_api 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.

How do I block invoke_catalog_api completely? +

Set action: deny in the Intercept policy for invoke_catalog_api. 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.

What MCP server provides invoke_catalog_api? +

invoke_catalog_api is provided by the AiPayGen MCP server (aipaygen-mcp). Intercept sits as a proxy in front of this server to enforce policies before tool calls reach the server.

Enforce policies on AiPayGen

Open source. One binary. Zero dependencies.

npx -y @policylayer/intercept
github.com/policylayer/intercept →
// GET IN TOUCH

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