Call a custom API endpoint (useful for new beta endpoints)
AI agents invoke call_custom_endpoint to trigger actions in MCP Intigriti Server. What it does depends on the arguments the agent supplies, and its effects often reach beyond the immediate call — builds kicked off, notifications sent, workflows started.
This tool executes arbitrary API calls to an external platform. Since the endpoint is user-specified and could trigger any action (read, write, or destructive), it must be classified at the most severe plausible category. The description explicitly notes it's for 'beta endpoints', meaning effects are unpredictable.
From the tool's definition 'Call a custom API endpoint' - executes arbitrary API calls to the Intigriti platform with unspecified parameters and effects
Attacks that exploit this kind of access
Call a custom API endpoint (useful for new beta endpoints). It is categorised as a Execute tool in the MCP Intigriti Server MCP Server, which means it can trigger actions or run processes. Use rate limits and argument validation.
Register the MCP Intigriti Server MCP server in PolicyLayer and add a rule for call_custom_endpoint: 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 MCP Intigriti Server. Nothing to install.
call_custom_endpoint 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 call_custom_endpoint 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 call_custom_endpoint. 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.
call_custom_endpoint is provided by the MCP Intigriti Server MCP server (jdc94/mcp-intigriti-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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