request_collaboration
AI agents call request_collaboration to retrieve information from Universal AI Chat MCP Server without modifying anything — typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.
Even though request_collaboration only reads data, uncontrolled read access leaks sensitive information and racks up API costs — an agent caught in a retry loop can make thousands of calls a minute without anyone noticing.
Attacks that exploit this kind of access
request_collaboration. It is categorised as a Read tool in the Universal AI Chat MCP Server MCP Server, which means it retrieves data without modifying state.
Register the Universal AI Chat MCP Server MCP server in PolicyLayer and add a rule for request_collaboration: 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 Universal AI Chat MCP Server. Nothing to install.
request_collaboration is a Read tool with low risk. Read-only tools are generally safe to allow by default.
Yes. Add a rate_limit block to the request_collaboration 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 request_collaboration. 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.
request_collaboration is provided by the Universal AI Chat MCP Server MCP server (marc-shade/universal-ai-chat). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
request_collaboration is one line of Universal AI Chat MCP Server's registry record.
The record carries the whole server: verified identity, auth posture, risk grade, every tool classified, recommended policy — re-checked continuously.
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