heatmap_plot

Create a correlation heatmap from numeric columns in CSV or Excel data.

SERVERCLIO Adios SOURCEpypi:clio-kit

High RISK CLASS

Category Execute

Parameters 00 required

Recommended Rate-limitedsee the rule below

Registry record Grade F, identity unverified Pull the record →

This record as markdown: /tools/io-github-iowarp-adios-mcp/heatmap-plot.md

WHAT IT DOES

What heatmap_plot does on CLIO Adios

AI agents invoke heatmap_plot to trigger actions in CLIO Adios. 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 heatmap_plot is rated High

This tool processes input data files (CSV/Excel) and generates a heatmap visualization, which involves executing a computation/rendering pipeline. It reads data and produces output artifacts. It's more than a pure Read because it actively creates a plot artifact, and it's not purely Write since it involves executing analytical computation.

From the tool's definition Create a correlation heatmap from numeric columns in CSV or Excel data

Attacks that exploit this kind of access

RECOMMENDED RULE

The rule that runs heatmap_plot safely

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

heatmap_plot Rate-limited

heatmap_plot 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": {
    "heatmap_plot": {
      "limits": [
        {
          "counter": "heatmap_plot_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 CLIO Adios, apply this rule, and every heatmap_plot call is checked against it from then on.

FAQ

Questions about heatmap_plot

What does the heatmap_plot tool do? +

Create a correlation heatmap from numeric columns in CSV or Excel data. It is categorised as a Execute tool in the CLIO Adios MCP Server, which means it can trigger actions or run processes. Use rate limits and argument validation.

How do I enforce a policy on heatmap_plot? +

Register the CLIO Adios MCP server in PolicyLayer and add a rule for heatmap_plot: 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 CLIO Adios. Nothing to install.

What risk level is heatmap_plot? +

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

Can I rate-limit heatmap_plot? +

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

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

heatmap_plot is provided by the CLIO Adios MCP server (pypi:clio-kit). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.

KEEP EXPLORING

More on CLIO Adios, and thousands of servers like it.

This server

All 204 CLIO Adios tools → High-risk tools on this server →

Across the catalogue

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

Guides

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