This record as markdown: /tools/mcp-anything/stream-stop.md
What stream_stop does on Mcp Anything
AI agents invoke stream_stop to trigger actions in Mcp Anything. 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.
Why stream_stop is rated High
This tool executes a command to halt a running stream, which is an action with external consequences. While not destructive (the stream can typically be restarted) or immediately dangerous, stopping a stream could interrupt dependent processes or workflows. This fits the Execute category: it runs an operation whose effects depend on what stream is active.
From the tool's definition Tool name 'stream_stop' and description 'Stop the current stream' indicate an action that terminates an ongoing operation. The imperative verb 'Stop' combined with 'current stream' suggests this tool triggers an external operation with side effects.
Attacks that exploit this kind of access
The rule that runs stream_stop safely
PolicyLayer is an MCP gateway: it sits between your AI agents and Mcp Anything, and checks every tool call against a rule you set before the call runs. Nothing changes on the server itself. For stream_stop, this is the rule to start with:
stream_stop 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.
The button opens the PolicyLayer dashboard: create your workspace, connect Mcp Anything, apply this rule, and every stream_stop call is checked against it from then on.
Questions about stream_stop
Stop the current stream. It is categorised as a Execute tool in the Mcp Anything MCP Server, which means it can trigger actions or run processes. Use rate limits and argument validation.
Register the Mcp Anything MCP server in PolicyLayer and add a rule for stream_stop: 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 Mcp Anything. Nothing to install.
stream_stop is a Execute tool with high risk. Execute tools should be rate-limited and have argument validation enabled.
Yes. Add a rate_limit block to the stream_stop 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.
Set action: deny in the PolicyLayer policy for stream_stop. 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.
stream_stop is provided by the Mcp Anything MCP server (Zaymadkid/mcp-anything). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
More on Mcp Anything, and thousands of servers like it.
Across the catalogue