Saves the contents of the replay buffer output.
AI agents use save_replay_buffer to create or update resources in OBS MCP Server — usually the action step of a workflow, after the agent has gathered context. Every call changes real data in your OBS MCP Server environment.
This tool captures and writes replay buffer data to disk, which is a reversible creation of data. While it commits data to storage, the action is not destructive (the original buffer remains intact) and does not involve code execution, deletion, or financial operations.
From the tool's definition Tool name 'save_replay_buffer' and description 'Saves the contents of the replay buffer output' indicate the tool creates/writes a new file artifact (the saved replay buffer) to persistent storage.
Documented attack patterns abuse exactly the kind of access save_replay_buffer gives an agent:
PolicyLayer is an MCP gateway — it sits between your AI agents and OBS MCP Server, and nothing reaches the server without passing your rules. This is the rule we recommend for save_replay_buffer:
{
"version": "1",
"default": "deny",
"tools": {
"save_replay_buffer": {
"limits": [
{
"counter": "save_replay_buffer_rate",
"window": "minute",
"max": 30,
"scope": "grant"
}
]
}
}
}save_replay_buffer stays usable, but capped — an agent stuck in a loop can't make hundreds of changes a minute. Everything else on the server is denied unless you say otherwise.
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Saves the contents of the replay buffer output. It is categorised as a Write tool in the OBS MCP Server MCP Server, which means it can create or modify data. Consider rate limits to prevent runaway writes.
Register the OBS MCP Server MCP server in PolicyLayer and add a rule for save_replay_buffer: 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 OBS MCP Server. Nothing to install.
save_replay_buffer is a Write tool with medium risk. Write tools should be rate-limited to prevent accidental bulk modifications.
Yes. Add a rate_limit block to the save_replay_buffer 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 save_replay_buffer. 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.
save_replay_buffer is provided by the OBS MCP Server MCP server (royshil/obs-mcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
Deterministic rules across all 200 OBS MCP Server tools. Per-identity grants. Full audit log. Live in minutes. Nothing to install.
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200 OBS MCP Server tools catalogued and risk-classified — across an index of 42,500+ MCP servers.