stop_stream

Stop a realtime analytics stream

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/stop-stream.md

WHAT IT DOES

What stop_stream does on Claude MCP Server Ecosystem

AI agents invoke stop_stream 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 stop_stream is rated High

This tool executes a command to halt an ongoing operation (stream termination), which has external effects on system state and potentially affects downstream analytics consumers. While not destructive (data is not deleted), it is more severe than a Write operation since it actively controls infrastructure behavior.

From the tool's definition The tool 'stop_stream' performs a control operation on a realtime analytics stream by terminating it. The verb 'stop' indicates an action that triggers external state changes in the streaming infrastructure.

Attacks that exploit this kind of access

RECOMMENDED RULE

The rule that runs stop_stream 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 stop_stream, this is the rule to start with:

stop_stream Rate-limited

stop_stream 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": {
    "stop_stream": {
      "limits": [
        {
          "counter": "stop_stream_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 stop_stream call is checked against it from then on.

FAQ

Questions about stop_stream

What does the stop_stream tool do? +

Stop a realtime analytics stream. 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 stop_stream? +

Register the Claude MCP Server Ecosystem MCP server in PolicyLayer and add a rule for stop_stream: 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 stop_stream? +

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

Can I rate-limit stop_stream? +

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

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

stop_stream 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.

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