Execute an action on an integration (fetch GitHub PR, create Linear issue, send Slack message, etc.). USE THIS TOOL: After using get_integration_actions to see available actions. HOW TO USE: 1) Set integrationSlug (like 'github'), 2) Set action name (like 'get_pr'), 3) Set arguments object with r...
Part of the Core MCP server. Enforce policies on this tool with Intercept, the open-source MCP proxy.
AI agents invoke execute_integration_action to trigger processes or run actions in Core. 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.
execute_integration_action 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:
execute_integration_action:
rules:
- action: allow
rate_limit:
max: 10
window: 60
validate:
required_args: trueSee the full Core policy for all 9 tools.
Agents calling execute-class tools like execute_integration_action 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.
execute_integration_action is one of the high-risk operations in Core. 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.
Execute an action on an integration (fetch GitHub PR, create Linear issue, send Slack message, etc.). USE THIS TOOL: After using get_integration_actions to see available actions. HOW TO USE: 1) Set integrationSlug (like 'github'), 2) Set action name (like 'get_pr'), 3) Set arguments object with required parameters from the action's inputSchema. Returns: Result of the action execution.. It is categorised as a Execute tool in the Core 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 execute_integration_action. You can allow, deny, rate-limit, or validate arguments. Then run Intercept as a proxy in front of the Core MCP server.
execute_integration_action 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 execute_integration_action 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 execute_integration_action. 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.
execute_integration_action is provided by the Core MCP server (@transcend-io/mcp-server-core). 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