Close connection to a specific peer
AI agents use disconnect_from_peer to create or update resources in JS-Peer x DeFi MCP Server — usually the action step of a workflow, after the agent has gathered context. Every call changes real data in your JS-Peer x DeFi MCP Server environment.
An AI agent can call disconnect_from_peer faster than any human can review — one bad instruction and it creates or modifies resources in JS-Peer x DeFi MCP Server by the hundred, each call as confident as the last.
Attacks that exploit this kind of access
Close connection to a specific peer. It is categorised as a Write tool in the JS-Peer x DeFi MCP Server MCP Server, which means it can create or modify data. Consider rate limits to prevent runaway writes.
Register the JS-Peer x DeFi MCP Server MCP server in PolicyLayer and add a rule for disconnect_from_peer: 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 JS-Peer x DeFi MCP Server. Nothing to install.
disconnect_from_peer 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 disconnect_from_peer 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 disconnect_from_peer. 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.
disconnect_from_peer is provided by the JS-Peer x DeFi MCP Server MCP server (nkovaturient/js-peer-mcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
Every MCP server has a record like this.
Type a name, get the same breakdown: verified identity, auth posture, risk grade, capabilities, recommended policy.
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