competitor_recommendations

SERVERGapup Mcp SOURCEhttps://mcp.gapup.io/mcp

Critical RISK CLASS

Category Financial

Parameters 42 required

Recommended Approval-gatedsee the rule below

Registry record Grade F, identity unverified Pull the record →

This record as markdown: /tools/io-github-getgapup-gapup-mcp/competitor-recommendations.md

WHAT IT DOES

What competitor_recommendations does on Gapup Mcp

AI agents use competitor_recommendations to commit financial operations through Gapup Mcp, usually the final step of a payment, billing, or trading workflow. A call moves real money.

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
`focus`	string	—
`competitors`	array	Yes
`selfCompany`	object	Yes

Parameters from the server's own tool schema.

RISK

Why competitor_recommendations is rated Critical

The server description explicitly states these are 'agent-payable tools' using 'x402 per-call' micropayment protocol. Each invocation of this tool commits a financial transaction (a per-call payment). While the tool's output is strategic competitive intelligence (Read/Write in nature), the act of calling it constitutes a financial obligation, making Financial the most severe applicable category.

From the tool's definition Gapup agent-payable C-suite expertise (CMO) ... x402 per-call

Risk signalsAccepts URL/endpoint input (selfCompany.url)

Attacks that exploit this kind of access

RECOMMENDED RULE

The rule that runs competitor_recommendations safely

PolicyLayer is an MCP gateway: it sits between your AI agents and Gapup Mcp, and checks every tool call against a rule you set before the call runs. Nothing changes on the server itself. For competitor_recommendations, this is the rule to start with:

competitor_recommendations Approval-gated

Any call to competitor_recommendations is blocked until a human approves it. The rest of the server keeps working.

View as policy code

policy.json

{
  "version": "1",
  "default": "deny",
  "tools": {
    "competitor_recommendations": {
      "deny_if": [
        {
          "conditions": [],
          "on_deny": "Requires human approval."
        }
      ]
    }
  }
}

GATE THIS TOOL → Instant setup, no code required.

The button opens the PolicyLayer dashboard: create your workspace, connect Gapup Mcp, apply this rule, and every competitor_recommendations call is checked against it from then on.

FAQ

Questions about competitor_recommendations

What does the competitor_recommendations tool do? +

Recommandations concurrentielles — Gapup agent-payable C-suite expertise (CMO). Returns a structured, audited deliverable. Answers: Given my competitors, what strategic actions should I take and in what order? · What should my 7/30/90/180-day competitive response plan look like? Reference case: Notion — actions face à ClickUp, Asana, Coda. Inputs are validated server-side — send the documented case fields. It is categorised as a Financial tool in the Gapup Mcp MCP Server, which means it involves financial transactions. Block by default and require explicit approval.

What parameters does competitor_recommendations accept? +

competitor_recommendations accepts 4 parameters: async, focus, competitors, selfCompany. Required: competitors, selfCompany. The full parameter table on this page comes from the server's own tool schema.

How do I enforce a policy on competitor_recommendations? +

Register the Gapup MCP server in PolicyLayer and add a rule for competitor_recommendations: 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 competitor_recommendations? +

competitor_recommendations is a Financial tool with critical risk. Critical-risk tools should be blocked by default and only enabled with explicit human approval.

Can I rate-limit competitor_recommendations? +

Yes. Add a rate_limit block to the competitor_recommendations 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 competitor_recommendations completely? +

Set action: deny in the PolicyLayer policy for competitor_recommendations. 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 competitor_recommendations? +

competitor_recommendations 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.

KEEP EXPLORING

More on Gapup, and thousands of servers like it.

This server

All 271 Gapup tools → Critical-risk tools on this server →

Across the catalogue

All critical-risk MCP tools → The MCP Attack Database →

Guides

Govern MCP payment tools →Human-in-the-loop →Tool call approval →