Export KeepGoing context as a formatted prompt for use in another AI tool (ChatGPT, Gemini, Copilot, etc.). Returns a markdown prompt with project status, last session, decisions, and recent commits.
AI agents call continue_on to retrieve information from KeepGoing MCP Server without modifying anything — typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.
This tool retrieves and exports session context, project status, decisions, and commit history in a structured format. No data is created, modified, deleted, or executed—it purely reads and reformats information from the KeepGoing server's persistent memory. This is a straightforward Read operation with minimal risk, suitable for safe AI agent use.
From the tool's definition The tool "Export KeepGoing context as a formatted prompt" and "Returns a markdown prompt" indicates data retrieval with no modification or side effects. It reads and formats existing project memory data for export.
Attacks that exploit this kind of access
Export KeepGoing context as a formatted prompt for use in another AI tool (ChatGPT, Gemini, Copilot, etc.). Returns a markdown prompt with project status, last session, decisions, and recent commits. It is categorised as a Read tool in the KeepGoing MCP Server MCP Server, which means it retrieves data without modifying state.
Register the KeepGoing MCP Server MCP server in PolicyLayer and add a rule for continue_on: 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 KeepGoing MCP Server. Nothing to install.
continue_on 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 continue_on 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 continue_on. 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.
continue_on is provided by the KeepGoing MCP Server MCP server (keepgoing-dev/mcp-server). 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.
Teams ship this data inside their own products. See what a licence covers →