brand_builder
Architecte de marque — Gapup agent-payable C-suite expertise (CMO). Returns a structured, audited deliverable. Reference case: Pennylane — brand identity SaaS fintech B2B FR/EU (2023). Inputs are validated server-side — send the documented case fields.
This record as markdown: /tools/io-github-getgapup-mcp-knowledge/brand-builder.md
What brand_builder does on Mcp Knowledge
AI agents call brand_builder 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 |
brand | object | Yes | |
target | object | Yes | |
founder | object | Yes | |
existingAssets | object | — |
Parameters from the server's own tool schema.
Why brand_builder is rated Low
The tool appears to generate brand strategy analysis and structured deliverables based on input case fields. It retrieves/generates expert content (CMO-level brand architecture) without creating, modifying, or deleting external data. The 'agent-payable' phrasing is noted but likely refers to the pricing model of the MCP service itself rather than financial transactions executed by the tool.
From the tool's definition 'Architecte de marque' — brand architecture tool; 'Returns a structured, audited deliverable'; reference case describes brand identity analysis for a SaaS fintech company.
Risk signalsHigh parameter count (18 properties)
Attacks that exploit this kind of access
The rule that runs brand_builder 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 brand_builder, this is the rule to start with:
brand_builder 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 brand_builder call is checked against it from then on.
Questions about brand_builder
Architecte de marque — Gapup agent-payable C-suite expertise (CMO). Returns a structured, audited deliverable. Reference case: Pennylane — brand identity SaaS fintech B2B FR/EU (2023). 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.
brand_builder accepts 5 parameters: async, brand, target, founder, existingAssets. Required: brand, target, founder. 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 brand_builder: 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.
brand_builder 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 brand_builder 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 brand_builder. 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.
brand_builder 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.
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