regression_modeler

A execute tool on the Math MCP server.

SERVERMath MCP Server SOURCE111-test-111/math-mcp-server

High RISK CLASS

Category Execute

Parameters 00 required

Recommended Rate-limitedsee the rule below

Registry record Grade C, identity unverified Pull the record →

This record as markdown: /tools/111-test-111-math-mcp-server/regression-modeler.md

WHAT IT DOES

What regression_modeler does on Math MCP Server

AI agents invoke regression_modeler to trigger actions in Math MCP Server. What it does depends on the arguments the agent supplies, and its effects often reach beyond the immediate call: builds kicked off, notifications sent, workflows started.

RISK

Why regression_modeler is rated High

With no description available, classification is based on the tool name and server context. 'regression_modeler' likely fits within the statistical computation capabilities of this math server, performing regression analysis (model fitting, prediction). This implies computation/execution of a modeling algorithm rather than simple data retrieval or writes.

From the tool's definition Tool name 'regression_modeler' on a math/statistics MCP server; description is empty and uninformative.

Attacks that exploit this kind of access

RECOMMENDED RULE

The rule that runs regression_modeler safely

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

regression_modeler Rate-limited

regression_modeler stays usable, but rate-capped: a runaway agent can't fire it dozens of times a minute. Everything else on the server is denied unless you say otherwise.

View as policy code

policy.json

{
  "version": "1",
  "default": "deny",
  "tools": {
    "regression_modeler": {
      "limits": [
        {
          "counter": "regression_modeler_rate",
          "window": "minute",
          "max": 10,
          "scope": "grant"
        }
      ]
    }
  }
}

RATE-LIMIT THIS TOOL → Instant setup, no code required.

The button opens the PolicyLayer dashboard: create your workspace, connect Math MCP Server, apply this rule, and every regression_modeler call is checked against it from then on.

FAQ

Questions about regression_modeler

What does the regression_modeler tool do? +

regression_modeler is a execute tool on the Math MCP Server MCP server. It is categorised as a Execute tool in the Math MCP Server MCP Server, which means it can trigger actions or run processes. Use rate limits and argument validation.

How do I enforce a policy on regression_modeler? +

Register the Math MCP Server MCP server in PolicyLayer and add a rule for regression_modeler: 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 Math MCP Server. Nothing to install.

What risk level is regression_modeler? +

regression_modeler is a Execute tool with high risk. Execute tools should be rate-limited and have argument validation enabled.

Can I rate-limit regression_modeler? +

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

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

regression_modeler is provided by the Math MCP Server MCP server (111-test-111/math-mcp-server). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.

KEEP EXPLORING

More on Math MCP Server, and thousands of servers like it.

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All 22 Math MCP Server tools → High-risk tools on this server →

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Guides

Govern code and CI agents →Agent sandbox →Least privilege for MCP →