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...

SERVERGapup Mcp SOURCEhttps://mcp.gapup.io/mcp
Medium RISK CLASS
Category Write
Parameters 74 required
Recommended Rate-limitedsee the rule below
Registry record Grade F, identity unverified Pull the record →

This record as markdown: /tools/io-github-getgapup-gapup-mcp/customer-marketing.md

What customer_marketing does on Gapup Mcp

AI agents use customer_marketing to create or update resources in Gapup Mcp, usually the action step of a workflow, after the agent has gathered context. Every call changes real data in your Gapup Mcp environment.

ParameterTypeRequiredDescription
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 Medium

The tool appears to generate marketing deliverables (ambassador programs, case studies, referral programs) based on client analysis. This is best classified as Write since it creates structured output documents/programs. It does not clearly execute code, destroy data, or move money.

From the tool's definition Marketing clients & ambassadeurs — Returns a structured, audited deliverable. Reference case: 12 clients analysés · 4 ambassadeurs identifiés · Programme + 6 case studies + référral.

Risk signalsHigh parameter count (20 properties)

Questions about customer_marketing

What does the customer_marketing tool do? +

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 Write tool in the Gapup Mcp MCP Server, which means it can create or modify data. Consider rate limits to prevent runaway writes.

What parameters does customer_marketing accept? +

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.

How do I enforce a policy on customer_marketing? +

Register the Gapup 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 Gapup Mcp. Nothing to install.

What risk level is customer_marketing? +

customer_marketing is a Write tool with medium risk. Write tools should be rate-limited to prevent accidental bulk modifications.

Can I rate-limit customer_marketing? +

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.

How do I block customer_marketing completely? +

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.

What MCP server provides customer_marketing? +

customer_marketing is provided by the Gapup MCP server (https://mcp.gapup.io/mcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.

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