deploy_plan

Deploy a deployment plan

SERVERClaude MCP Server Ecosystem SOURCEcoder-rl/claude_mcpserver_dev1

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/coder-rl-claude-mcpserver-dev1/deploy-plan.md

WHAT IT DOES

What deploy_plan does on Claude MCP Server Ecosystem

AI agents invoke deploy_plan to trigger actions in Claude MCP Server Ecosystem. 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 deploy_plan is rated High

Deployment actions execute code and infrastructure changes that have real-world side effects—services restart, configurations propagate, network traffic routes change. While not inherently destructive (deploy can be rolled back), it is clearly Execute rather than Write because it orchestrates external systems and operations beyond simple data modification.

From the tool's definition 'Deploy a deployment plan' indicates orchestration of infrastructure changes via the ecosystem's Docker and infrastructure domain tools.

Attacks that exploit this kind of access

RECOMMENDED RULE

The rule that runs deploy_plan safely

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

deploy_plan Rate-limited

deploy_plan 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": {
    "deploy_plan": {
      "limits": [
        {
          "counter": "deploy_plan_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 Claude MCP Server Ecosystem, apply this rule, and every deploy_plan call is checked against it from then on.

FAQ

Questions about deploy_plan

What does the deploy_plan tool do? +

Deploy a deployment plan. It is categorised as a Execute tool in the Claude MCP Server Ecosystem MCP Server, which means it can trigger actions or run processes. Use rate limits and argument validation.

How do I enforce a policy on deploy_plan? +

Register the Claude MCP Server Ecosystem MCP server in PolicyLayer and add a rule for deploy_plan: 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 Claude MCP Server Ecosystem. Nothing to install.

What risk level is deploy_plan? +

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

Can I rate-limit deploy_plan? +

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

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

deploy_plan is provided by the Claude MCP Server Ecosystem MCP server (coder-rl/claude_mcpserver_dev1). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.

KEEP EXPLORING

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

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All 229 Claude MCP Server Ecosystem tools → High-risk tools on this server →

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Guides

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