competitor_pricing_radar

SERVERMcp Knowledge SOURCEhttps://mcp.gapup.io

Low RISK CLASS

Category Read

Parameters 42 required

Recommended Allowedsee the rule below

Registry record Grade F, identity unverified Pull the record →

This record as markdown: /tools/io-github-getgapup-mcp-knowledge/competitor-pricing-radar.md

WHAT IT DOES

What competitor_pricing_radar does on Mcp Knowledge

AI agents call competitor_pricing_radar 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
`focus`	string	—
`competitors`	array	Yes
`selfCompany`	object	Yes

Parameters from the server's own tool schema.

RISK

Why competitor_pricing_radar is rated Low

The tool retrieves and analyzes competitor pricing data, returning structured intelligence about market positioning. It reads/queries external information (competitor pricing) and produces an analytical deliverable with no side effects. Severity is medium because the competitive intelligence could inform strategic decisions, but the tool itself only reads and reports data.

From the tool's definition Radar pricing concurrents — How do my competitors' pricing plans and monthly prices compare to mine? Which competitor plan undercuts or out-features my equivalent tier?

Risk signalsAccepts URL/endpoint input (selfCompany.url)

Attacks that exploit this kind of access

RECOMMENDED RULE

The rule that runs competitor_pricing_radar 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 competitor_pricing_radar, this is the rule to start with:

competitor_pricing_radar Allowed

competitor_pricing_radar is read-only, so it stays allowed. Everything else on the server is denied unless you say otherwise.

View as policy code

policy.json

{
  "version": "1",
  "default": "deny",
  "tools": {
    "competitor_pricing_radar": {}
  }
}

ALLOW ONLY THIS TOOL → Instant setup, no code required.

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

FAQ

Questions about competitor_pricing_radar

What does the competitor_pricing_radar tool do? +

Radar pricing concurrents — Gapup agent-payable C-suite expertise (CMO). Returns a structured, audited deliverable. Answers: How do my competitors' pricing plans and monthly prices compare to mine? · Which competitor plan undercuts or out-features my equivalent tier? Reference case: Notion — pricing vs ClickUp, Asana, Coda. 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.

What parameters does competitor_pricing_radar accept? +

competitor_pricing_radar 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_pricing_radar? +

Register the Mcp Knowledge MCP server in PolicyLayer and add a rule for competitor_pricing_radar: 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.

What risk level is competitor_pricing_radar? +

competitor_pricing_radar is a Read tool with low risk. Read-only tools are generally safe to allow by default.

Can I rate-limit competitor_pricing_radar? +

Yes. Add a rate_limit block to the competitor_pricing_radar 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_pricing_radar completely? +

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

competitor_pricing_radar 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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