customer_marketing
Marketing clients & ambassadeurs — Gapup agent-payable C-suite expertise (CMO). Returns a structured, audited deliverable. Reference case: Gapup Hub — 12 clients analysés · 4 ambassadeurs identifiés · Programme + 6 case studies + référral. Inputs are validated server-side — send the documented ca...
This record as markdown: /tools/io-github-getgapup-mcp-knowledge/customer-marketing.md
What customer_marketing does on Mcp Knowledge
AI agents call customer_marketing 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 |
goals | array | Yes | |
company | object | Yes | |
product | object | Yes | |
customers | array | Yes | |
targetUseCases | array | — | |
contentBudgetEur | number | — |
Parameters from the server's own tool schema.
Why customer_marketing is rated Low
The tool appears to perform analysis and return structured marketing intelligence (client analysis, ambassador identification, case studies) rather than executing transactions or modifying data. It reads and processes inputs to produce an audited deliverable.
From the tool's definition Marketing clients & ambassadeurs — Returns a structured, audited deliverable. Reference case: Gapup Hub — 12 clients analysés · 4 ambassadeurs identifiés · Programme + 6 case studies + référral.
Risk signalsHigh parameter count (20 properties)
Attacks that exploit this kind of access
The rule that runs customer_marketing 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 customer_marketing, this is the rule to start with:
customer_marketing 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 customer_marketing call is checked against it from then on.
Questions about customer_marketing
Marketing clients & ambassadeurs — Gapup agent-payable C-suite expertise (CMO). Returns a structured, audited deliverable. Reference case: Gapup Hub — 12 clients analysés · 4 ambassadeurs identifiés · Programme + 6 case studies + référral. 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.
customer_marketing accepts 7 parameters: async, goals, company, product, customers, targetUseCases, contentBudgetEur. Required: goals, company, product, customers. 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 customer_marketing: 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.
customer_marketing 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 customer_marketing 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 customer_marketing. 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.
customer_marketing 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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