Introspect a GraphQL endpoint to discover schema, types, and queries.
AI agents call api_graphql_introspect to retrieve information from Zebbern Kali MCP without modifying anything — typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.
GraphQL introspection queries retrieve schema information, types, and available queries from an endpoint. While this gathers intelligence that could inform follow-up attacks, the introspection operation itself is read-only and causes no side effects.
From the tool's definition Tool description states 'Introspect a GraphQL endpoint to discover schema, types, and queries' — introspection is a passive reconnaissance operation that retrieves metadata about a GraphQL API without modifying or executing arbitrary operations.
Documented attack patterns abuse exactly the kind of access api_graphql_introspect gives an agent:
PolicyLayer is an MCP gateway — it sits between your AI agents and Zebbern Kali MCP, and nothing reaches the server without passing your rules. This is the rule we recommend for api_graphql_introspect:
{
"version": "1",
"default": "deny",
"tools": {
"api_graphql_introspect": {}
}
}api_graphql_introspect is read-only, so it stays allowed — but everything else on the server is denied unless you say otherwise.
Free to start. No card required.
Introspect a GraphQL endpoint to discover schema, types, and queries. It is categorised as a Read tool in the Zebbern Kali MCP MCP Server, which means it retrieves data without modifying state.
Register the Zebbern Kali MCP server in PolicyLayer and add a rule for api_graphql_introspect: 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 Zebbern Kali MCP. Nothing to install.
api_graphql_introspect is a Read tool with low risk. Read-only tools are generally safe to allow by default.
Yes. Add a rate_limit block to the api_graphql_introspect 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 api_graphql_introspect. 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.
api_graphql_introspect is provided by the Zebbern Kali MCP server (zebbern/zebbern-kali-mcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
Deterministic rules across all 128 Zebbern Kali MCP tools. Per-identity grants. Full audit log. Live in minutes. Nothing to install.
Free to start. No card required.
128 Zebbern Kali MCP tools catalogued and risk-classified — across an index of 42,500+ MCP servers.