replay_autoplay

Toggle autoplay in replay mode, optionally set speed

SERVERTradingView MCP Server SOURCEdebarpan2000/tradingview-mcp

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/debarpan2000-tradingview-mcp/replay-autoplay.md

WHAT IT DOES

What replay_autoplay does on TradingView MCP Server

AI agents invoke replay_autoplay to trigger actions in TradingView 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 replay_autoplay is rated High

This tool triggers an external operation within TradingView Desktop (controlling replay playback state and speed), which is an action that executes a UI/application behavior. It doesn't merely read data, nor does it create/modify persistent data reversibly. It falls under Execute as it drives application behavior via Chrome DevTools Protocol.

From the tool's definition Toggle autoplay in replay mode, optionally set speed

Attacks that exploit this kind of access

RECOMMENDED RULE

The rule that runs replay_autoplay safely

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

replay_autoplay Rate-limited

replay_autoplay 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": {
    "replay_autoplay": {
      "limits": [
        {
          "counter": "replay_autoplay_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 TradingView MCP Server, apply this rule, and every replay_autoplay call is checked against it from then on.

FAQ

Questions about replay_autoplay

What does the replay_autoplay tool do? +

Toggle autoplay in replay mode, optionally set speed. It is categorised as a Execute tool in the TradingView 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 replay_autoplay? +

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

What risk level is replay_autoplay? +

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

Can I rate-limit replay_autoplay? +

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

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

replay_autoplay is provided by the TradingView MCP Server MCP server (debarpan2000/tradingview-mcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.

KEEP EXPLORING

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

This server

All 78 TradingView MCP Server 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 →