run_workflow

POST /v5/workflow_runs. Current Bannerbear V5 operation; provider scopes, locks and credits apply. Mandatory confirmation before provider execution; one submission only.

SERVERBannerbear Mcp Cli SOURCE@thenavidm/bannerbear-mcp-cli

High RISK CLASS

Category Execute

Parameters 40 required

Recommended Rate-limitedsee the rule below

Registry record Grade F, identity unverified Pull the record →

This record as markdown: /tools/thenavidm-bannerbear-mcp-cli/run-workflow.md

WHAT IT DOES

What run_workflow does on Bannerbear Mcp Cli

AI agents invoke run_workflow to trigger actions in Bannerbear Mcp Cli. 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.

Parameter	Type	Required	Description
`account`	string	—	Exact private workspace profile label; no fallback to another profile key.
`confirm`	boolean	—	Set true only when the user asked for exactly this action.
`payload`	object	—	Complete current native JSON body. Use payload or payload_file exclusively.
`payload_file`	string	—	Regular non-symlink local JSON file, at most 1 MiB.

Parameters from the server's own tool schema.

RISK

Why run_workflow is rated High

run_workflow triggers real processes with real consequences. An agent gone sideways doesn't fire it once. It starts dozens of builds, sends mass notifications, or burns through compute before anyone looks up.

Risk signalsAccepts raw HTML/template content (payload)

Attacks that exploit this kind of access

RECOMMENDED RULE

The rule that runs run_workflow safely

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

run_workflow Rate-limited

run_workflow 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": {
    "run_workflow": {
      "limits": [
        {
          "counter": "run_workflow_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 Bannerbear Mcp Cli, apply this rule, and every run_workflow call is checked against it from then on.

FAQ

Questions about run_workflow

What does the run_workflow tool do? +

POST /v5/workflow_runs. Current Bannerbear V5 operation; provider scopes, locks and credits apply. Mandatory confirmation before provider execution; one submission only. It is categorised as a Execute tool in the Bannerbear Mcp Cli MCP Server, which means it can trigger actions or run processes. Use rate limits and argument validation.

What parameters does run_workflow accept? +

run_workflow accepts 4 parameters: account, confirm, payload, payload_file. The full parameter table on this page comes from the server's own tool schema.

How do I enforce a policy on run_workflow? +

Register the Bannerbear Mcp Cli MCP server in PolicyLayer and add a rule for run_workflow: 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 Bannerbear Mcp Cli. Nothing to install.

What risk level is run_workflow? +

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

Can I rate-limit run_workflow? +

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

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

run_workflow is provided by the Bannerbear Mcp Cli MCP server (@thenavidm/bannerbear-mcp-cli). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.

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