Low Risk

candlestick_chart

Generate ASCII candlestick chart with OHLCV data for a market. Returns a visual representation of price movements.

How to control candlestick_chart ↓

What candlestick_chart does on DFlow MCP Server

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

Low Risk

Why candlestick_chart needs a policy

This tool retrieves and visualizes market data without modifying any state, executing code, or triggering financial transactions. It is a read-only operation that queries existing candlestick data and formats it for display. The API context (Kalshi prediction market) involves real money, but the tool itself only reads and formats data—it does not execute trades or commit financial obligations.

From the tool's definition The tool 'candlestick_chart' generates a visual representation of price movements by displaying OHLCV (Open, High, Low, Close, Volume) data in ASCII format.

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

How to control candlestick_chart

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

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

candlestick_chart 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 DFlow MCP Server — 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 candlestick_chart

What does the candlestick_chart tool do? +

Generate ASCII candlestick chart with OHLCV data for a market. Returns a visual representation of price movements. It is categorised as a Read tool in the DFlow MCP Server MCP Server, which means it retrieves data without modifying state.

How do I enforce a policy on candlestick_chart? +

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

What risk level is candlestick_chart? +

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

Can I rate-limit candlestick_chart? +

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

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

candlestick_chart is provided by the DFlow MCP Server MCP server (opensvm/dflow-mcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.

Enforce policy on every DFlow MCP Server tool call.

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

Free to start. No card required.

24 DFlow MCP Server tools catalogued and risk-classified — across an index of 43,000+ MCP servers.

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