export_pipeline

Export a structured snapshot of a Jarvis-CD pipeline.

SERVERCLIO Adios SOURCEpypi:clio-kit

Low RISK CLASS

Category Read

Parameters 00 required

Recommended Allowedsee the rule below

Registry record Grade F, identity unverified Pull the record →

This record as markdown: /tools/io-github-iowarp-adios-mcp/export-pipeline.md

WHAT IT DOES

What export_pipeline does on CLIO Adios

AI agents call export_pipeline to retrieve information from CLIO Adios without modifying anything. It is typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.

RISK

Why export_pipeline is rated Low

Exporting a snapshot implies reading/serializing the current state of a pipeline into a structured format. This is primarily a read operation with no indication of modifying, deleting, or executing anything. Confidence is moderate because 'export' could involve writing to disk, but the dominant action is data retrieval/serialization.

From the tool's definition Export a structured snapshot of a Jarvis-CD pipeline

Attacks that exploit this kind of access

RECOMMENDED RULE

The rule that runs export_pipeline safely

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

export_pipeline Allowed

export_pipeline is read-only, so it stays allowed. Everything else on the server is denied unless you say otherwise.

View as policy code

policy.json

{
  "version": "1",
  "default": "deny",
  "tools": {
    "export_pipeline": {}
  }
}

ALLOW ONLY THIS TOOL → Instant setup, no code required.

The button opens the PolicyLayer dashboard: create your workspace, connect CLIO Adios, apply this rule, and every export_pipeline call is checked against it from then on.

FAQ

Questions about export_pipeline

What does the export_pipeline tool do? +

Export a structured snapshot of a Jarvis-CD pipeline. It is categorised as a Read tool in the CLIO Adios MCP Server, which means it retrieves data without modifying state.

How do I enforce a policy on export_pipeline? +

Register the CLIO Adios MCP server in PolicyLayer and add a rule for export_pipeline: 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 CLIO Adios. Nothing to install.

What risk level is export_pipeline? +

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

Can I rate-limit export_pipeline? +

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

Set action: deny in the PolicyLayer policy for export_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 export_pipeline? +

export_pipeline is provided by the CLIO Adios MCP server (pypi:clio-kit). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.

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