Retrieves the complete content of a specific Cursor conversation including all messages, code blocks, file references, title, and AI summary. WORKFLOW TIP: Use conversation IDs from list_conversations, search_conversations, or analytics breakdowns (files/languages arrays contain conversation IDs)...
AI agents call get_conversation to retrieve information from Cursor Conversations MCP Server without modifying anything — typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.
This tool queries and returns conversation data without modifying, deleting, or executing anything. However, severity is elevated to 'medium' rather than 'low' because the retrieved content includes complete conversation history, code blocks, and file references that may contain sensitive development information, credentials, API keys, or proprietary code patterns.
From the tool's definition Tool 'retrieves the complete content of a specific Cursor conversation including all messages, code blocks, file references, title, and AI summary.' The verb 'retrieves' and the read-only nature of accessing conversation history indicate a Read operation with…
Documented attack patterns abuse exactly the kind of access get_conversation gives an agent:
PolicyLayer is an MCP gateway — it sits between your AI agents and Cursor Conversations MCP Server, and nothing reaches the server without passing your rules. This is the rule we recommend for get_conversation:
{
"version": "1",
"default": "deny",
"tools": {
"get_conversation": {}
}
}get_conversation is read-only, so it stays allowed — but everything else on the server is denied unless you say otherwise.
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Retrieves the complete content of a specific Cursor conversation including all messages, code blocks, file references, title, and AI summary. WORKFLOW TIP: Use conversation IDs from list_conversations, search_conversations, or analytics breakdowns (files/languages arrays contain conversation IDs). Use summaryOnly=true to get enhanced summary data without full message content when you need to conserve context. It is categorised as a Read tool in the Cursor Conversations MCP Server MCP Server, which means it retrieves data without modifying state.
Register the Cursor Conversations MCP Server MCP server in PolicyLayer and add a rule for get_conversation: 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 Cursor Conversations MCP Server. Nothing to install.
get_conversation 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 get_conversation 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 get_conversation. 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.
get_conversation is provided by the Cursor Conversations MCP Server MCP server (vltansky/cursor-chat-history-mcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
Deterministic rules across all 8 Cursor Conversations MCP Server tools. Per-identity grants. Full audit log. Live in minutes. Nothing to install.
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8 Cursor Conversations MCP Server tools catalogued and risk-classified — across an index of 42,500+ MCP servers.