graphql_scanner
A execute tool on the Intellirecon Console MCP server.
This record as markdown: /tools/intellirecon-console/graphql-scanner.md
What graphql_scanner does on Intellirecon Console
AI agents invoke graphql_scanner to trigger actions in Intellirecon Console. 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.
Why graphql_scanner is rated High
The description is empty, so classification relies on the tool name and server context. A GraphQL scanner actively probes and queries GraphQL endpoints to discover schema, identify misconfigurations, and find vulnerabilities. Given the offensive security context of this server (attack suite generation, payload generation, vulnerability assessment), this tool likely executes active scanning operations against targets.
From the tool's definition Tool name 'graphql_scanner' on a security recon server with sibling tools like 'advanced_payload_generation', 'ai_generate_attack_suite', and 'ai_vulnerability_assessment'
Attacks that exploit this kind of access
The rule that runs graphql_scanner safely
PolicyLayer is an MCP gateway: it sits between your AI agents and Intellirecon Console, and checks every tool call against a rule you set before the call runs. Nothing changes on the server itself. For graphql_scanner, this is the rule to start with:
graphql_scanner stays usable, but rate-capped: a runaway agent can't fire it dozens of times a minute. Everything else on the server is denied unless you say otherwise.
The button opens the PolicyLayer dashboard: create your workspace, connect Intellirecon Console, apply this rule, and every graphql_scanner call is checked against it from then on.
Questions about graphql_scanner
graphql_scanner is a execute tool on the Intellirecon Console MCP server. It is categorised as a Execute tool in the Intellirecon Console MCP Server, which means it can trigger actions or run processes. Use rate limits and argument validation.
Register the Intellirecon Console MCP server in PolicyLayer and add a rule for graphql_scanner: 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 Intellirecon Console. Nothing to install.
graphql_scanner 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 graphql_scanner 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 graphql_scanner. 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.
graphql_scanner is provided by the Intellirecon Console MCP server (dokotela021/intellirecon-console). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
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