start_stream

Start 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/start-stream.md

WHAT IT DOES

What start_stream does on Claude MCP Server Ecosystem

AI agents invoke start_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 start_stream is rated High

This tool executes an operation that initiates a realtime data stream, which has side effects beyond simple data retrieval. While not destructive or financial, it activates an external service/process whose behavior and consequences depend on implementation details and arguments. The streaming operation could consume resources, trigger downstream processes, or have unintended effects if misconfigured by an agent.

From the tool's definition Tool name 'start_stream' combined with description 'Start a realtime analytics stream' indicates initiation of an external operation (streaming service).

Attacks that exploit this kind of access

RECOMMENDED RULE

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

start_stream Rate-limited

start_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": {
    "start_stream": {
      "limits": [
        {
          "counter": "start_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 start_stream call is checked against it from then on.

FAQ

Questions about start_stream

What does the start_stream tool do? +

Start 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 start_stream? +

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

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

Can I rate-limit start_stream? +

Yes. Add a rate_limit block to the start_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 start_stream completely? +

Set action: deny in the PolicyLayer policy for start_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 start_stream? +

start_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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