Low Risk

correlate

Calculate correlation matrix between multiple columns (supports 2+ columns). Supports pearson (linear), spearman (rank-based), kendall (rank-based) methods. Returns correlation coefficients (-1 to 1). Use for: relationship analysis, variable dependency, feature selection, multivariate analysis, i...

How to control correlate ↓

What correlate does on Mcp Excel

AI agents call correlate to retrieve information from Mcp Excel without modifying anything — typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.

Low Risk

Why correlate needs a policy

This tool retrieves data from Excel columns and performs mathematical calculations (Pearson, Spearman, Kendall correlation) to generate insights. It does not create, modify, delete, or execute arbitrary operations. The blast radius of misuse is minimal—incorrect correlation analysis produces misleading statistical results but cannot corrupt data, trigger external systems, or cause irreversible changes.

From the tool's definition The tool 'correlate' is described as calculating correlation matrices and returning correlation coefficients. It performs statistical analysis on existing data with no modification capabilities.

Documented attack patterns abuse exactly the kind of access correlate gives an agent:

How to control correlate

PolicyLayer is an MCP gateway — it sits between your AI agents and Mcp Excel, and nothing reaches the server without passing your rules. This is the rule we recommend for correlate:

policy.json
{
  "version": "1",
  "default": "deny",
  "tools": {
    "correlate": {}
  }
}

correlate is read-only, so it stays allowed — but everything else on the server is denied unless you say otherwise.

  1. Create a free account and register Mcp Excel — nothing to install.
  2. Add this policy — paste it, or build it visually.
  3. Point your MCP client (Claude, Cursor, anything) at your gateway URL.
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Related tools and policies

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Questions about correlate

What does the correlate tool do? +

Calculate correlation matrix between multiple columns (supports 2+ columns). Supports pearson (linear), spearman (rank-based), kendall (rank-based) methods. Returns correlation coefficients (-1 to 1). Use for: relationship analysis, variable dependency, feature selection, multivariate analysis, identifying correlated metrics. EXAMPLES: Correlation between price and sales volume, Relationship between temperature and energy consumption, Dependencies between financial metrics. It is categorised as a Read tool in the Mcp Excel MCP Server, which means it retrieves data without modifying state.

How do I enforce a policy on correlate? +

Register the Mcp Excel MCP server in PolicyLayer and add a rule for correlate: 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 Excel. Nothing to install.

What risk level is correlate? +

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

Can I rate-limit correlate? +

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

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

correlate is provided by the Mcp Excel MCP server (jwadow/mcp-excel). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.

Enforce policy on every Mcp Excel tool call.

Start from Mcp Excel, add the rest of your stack, and see everything your agents can call. Then put policy on all of it.

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25 Mcp Excel tools catalogued and risk-classified — across an index of 43,000+ MCP servers.

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