Medium Risk

save_pipeline

Save a new pipeline configuration to Spinnaker. Use this to create a brand-new pipeline definition — use update_pipeline instead to modify an existing one. Accepts a full pipeline JSON definition and returns a confirmation. This is a mutating operation that creates a new pipeline visible in the S...

Part of the Spinnaker MCP server. Enforce policies on this tool with Intercept, the open-source MCP proxy.

AI agents use save_pipeline to create or modify resources in Spinnaker. Write operations carry medium risk because an autonomous agent could trigger bulk unintended modifications. Rate limits prevent a single agent session from making hundreds of changes in rapid succession. Argument validation ensures the agent passes expected values.

Without a policy, an AI agent could call save_pipeline repeatedly, creating or modifying resources faster than any human could review. Intercept's rate limiting ensures write operations happen at a controlled pace, and argument validation catches malformed or unexpected inputs before they reach Spinnaker.

Write tools can modify data. A rate limit prevents runaway bulk operations from AI agents.

io-github-geiserx-spinnaker-mcp.yaml
tools:
  save_pipeline:
    rules:
      - action: allow
        rate_limit:
          max: 30
          window: 60

See the full Spinnaker policy for all 37 tools.

Tool Name save_pipeline
Category Write
Risk Level Medium

View all 37 tools →

Agents calling write-class tools like save_pipeline have been implicated in these attack patterns. Read the full case and prevention policy for each:

Browse the full MCP Attack Database →

Other tools in the Write risk category across the catalogue. The same policy patterns (rate-limit, validate) apply to each.

What does the save_pipeline tool do? +

Save a new pipeline configuration to Spinnaker. Use this to create a brand-new pipeline definition — use update_pipeline instead to modify an existing one. Accepts a full pipeline JSON definition and returns a confirmation. This is a mutating operation that creates a new pipeline visible in the Spinnaker UI.. It is categorised as a Write tool in the Spinnaker MCP Server, which means it can create or modify data. Consider rate limits to prevent runaway writes.

How do I enforce a policy on save_pipeline? +

Add a rule in your Intercept YAML policy under the tools section for save_pipeline. You can allow, deny, rate-limit, or validate arguments. Then run Intercept as a proxy in front of the Spinnaker MCP server.

What risk level is save_pipeline? +

save_pipeline is a Write tool with medium risk. Write tools should be rate-limited to prevent accidental bulk modifications.

Can I rate-limit save_pipeline? +

Yes. Add a rate_limit block to the save_pipeline rule in your Intercept 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 save_pipeline completely? +

Set action: deny in the Intercept policy for save_pipeline. 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 save_pipeline? +

save_pipeline is provided by the Spinnaker MCP server (spinnaker-mcp). Intercept sits as a proxy in front of this server to enforce policies before tool calls reach the server.

Let agents act without letting them run wild.

Deterministic policy on every MCP tool call. Per-identity grants. Full audit log.

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