pentest_scope_estimator
Estimateur de scope pentest — Gapup agent-payable C-suite expertise (RISK). Returns a structured, audited deliverable. Answers: For a <scope_type> pentest on <tech_stack> with <N> assets, what is the effort and cost estimate? · How much should I budget for a web application + API penetration test...
This record as markdown: /tools/io-github-getgapup-mcp-knowledge/pentest-scope-estimator.md
What pentest_scope_estimator does on Mcp Knowledge
AI agents call pentest_scope_estimator to retrieve information from Mcp Knowledge without modifying anything. It is typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.
| Parameter | Type | Required | Description |
|---|---|---|---|
async | boolean | — | If true, returns a job_id immediately (<200ms) instead of waiting for the result. Poll the result with job_result(job_id). Use for slow tools to avoid client ti |
scope_type | string | Yes | |
tech_stack | array | Yes | |
asset_count | integer | — | |
target_geos | array | — | |
engagement_type | string | — | |
retest_included | boolean | — | |
business_context | string | Yes | |
compliance_frameworks | array | — |
Parameters from the server's own tool schema.
Why pentest_scope_estimator is rated Low
This tool is an estimator/advisor that returns structured information and recommendations about penetration testing scope, cost, effort, and engagement plans. It reads/analyzes inputs and returns advisory deliverables — it does not execute any tests, modify data, or trigger any external operations. It is purely informational/consultative in nature.
From the tool's definition Estimateur de scope pentest — Returns a structured, audited deliverable. Answers questions about effort and cost estimates, budget, engagement plans, and prerequisites for pentest engagements.
Attacks that exploit this kind of access
The rule that runs pentest_scope_estimator safely
PolicyLayer is an MCP gateway: it sits between your AI agents and Mcp Knowledge, and checks every tool call against a rule you set before the call runs. Nothing changes on the server itself. For pentest_scope_estimator, this is the rule to start with:
pentest_scope_estimator is read-only, so it stays allowed. Everything else on the server is denied unless you say otherwise.
The button opens the PolicyLayer dashboard: create your workspace, connect Mcp Knowledge, apply this rule, and every pentest_scope_estimator call is checked against it from then on.
Questions about pentest_scope_estimator
Estimateur de scope pentest — Gapup agent-payable C-suite expertise (RISK). Returns a structured, audited deliverable. Answers: For a <scope_type> pentest on <tech_stack> with <N> assets, what is the effort and cost estimate? · How much should I budget for a web application + API penetration test for SOC 2 Type II compliance? · What is the standard engagement plan (PTES phases + deliverables) for a <scope_type> pentest? · Which engagement type (black-box/grey-box/white-box/red-team) is recommended for my context? · What are the prerequisites and risks for a pentest engagement on my cloud infrastructure? Reference case: Acme SaaS Inc — Fintech B2B EU · web-app + API REST · 12 microservices Node.js AWS · . Inputs are validated server-side — send the documented case fields. It is categorised as a Read tool in the Mcp Knowledge MCP Server, which means it retrieves data without modifying state.
pentest_scope_estimator accepts 9 parameters: async, scope_type, tech_stack, asset_count, target_geos, engagement_type, retest_included, business_context, compliance_frameworks. Required: scope_type, tech_stack, business_context. The full parameter table on this page comes from the server's own tool schema.
Register the Mcp Knowledge MCP server in PolicyLayer and add a rule for pentest_scope_estimator: 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 Knowledge. Nothing to install.
pentest_scope_estimator 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 pentest_scope_estimator 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 pentest_scope_estimator. 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.
pentest_scope_estimator is provided by the Mcp Knowledge MCP server (https://mcp.gapup.io). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
More on Mcp Knowledge, and thousands of servers like it.
This server
Across the catalogue