pipeline_debug

Analyze CI/CD pipeline logs to diagnose build failures and suggest fixes

SERVERPlugin Hub SOURCE@barnburner121/plugin-hub-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/barnburner121-plugin-hub-mcp/pipeline-debug.md

WHAT IT DOES

What pipeline_debug does on Plugin Hub

AI agents invoke pipeline_debug to trigger actions in Plugin Hub. 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 pipeline_debug is rated High

pipeline_debug 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.

Attacks that exploit this kind of access

RECOMMENDED RULE

The rule that runs pipeline_debug safely

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

pipeline_debug Rate-limited

pipeline_debug 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": {
    "pipeline_debug": {
      "limits": [
        {
          "counter": "pipeline_debug_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 Plugin Hub, apply this rule, and every pipeline_debug call is checked against it from then on.

FAQ

Questions about pipeline_debug

What does the pipeline_debug tool do? +

Analyze CI/CD pipeline logs to diagnose build failures and suggest fixes. It is categorised as a Execute tool in the Plugin Hub MCP Server, which means it can trigger actions or run processes. Use rate limits and argument validation.

How do I enforce a policy on pipeline_debug? +

Register the Plugin Hub MCP server in PolicyLayer and add a rule for pipeline_debug: 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 Plugin Hub. Nothing to install.

What risk level is pipeline_debug? +

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

Can I rate-limit pipeline_debug? +

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

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

pipeline_debug is provided by the Plugin Hub MCP server (@barnburner121/plugin-hub-mcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.

KEEP EXPLORING

More on Plugin Hub, and thousands of servers like it.

This server

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Guides

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