Resume context from a paused research project. Returns the central question, recent 50 findings (with their claims, sources, confidence), and all currently-open gaps. Use this BEFORE asking new questions in an existing project so you don\
AI agents call research_project_continue to retrieve information from Celiums Memory without modifying anything — typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.
This tool retrieves and returns existing research project context — findings, sources, confidence scores, and open gaps. It is a read/query operation with no side effects, modifications, or destructive actions. The instruction 'Use this BEFORE asking new questions' confirms it is a preparatory read step.
From the tool's definition Resume context from a paused research project. Returns the central question, recent 50 findings (with their claims, sources, confidence), and all currently-open gaps.
Documented attack patterns abuse exactly the kind of access research_project_continue gives an agent:
PolicyLayer is an MCP gateway — it sits between your AI agents and Celiums Memory, and nothing reaches the server without passing your rules. This is the rule we recommend for research_project_continue:
{
"version": "1",
"default": "deny",
"tools": {
"research_project_continue": {}
}
}research_project_continue is read-only, so it stays allowed — but everything else on the server is denied unless you say otherwise.
Free to start. No card required.
Resume context from a paused research project. Returns the central question, recent 50 findings (with their claims, sources, confidence), and all currently-open gaps. Use this BEFORE asking new questions in an existing project so you don\. It is categorised as a Read tool in the Celiums Memory MCP Server, which means it retrieves data without modifying state.
Register the Celiums Memory MCP server in PolicyLayer and add a rule for research_project_continue: 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 Celiums Memory. Nothing to install.
research_project_continue 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 research_project_continue 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 research_project_continue. 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.
research_project_continue is provided by the Celiums Memory MCP server (terrizoaguimor/celiums-memory). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
Start from Celiums Memory, add the rest of your stack, and see everything your agents can call. Then put policy on all of it.
Free to start. No card required.
62 Celiums Memory tools catalogued and risk-classified — across an index of 43,000+ MCP servers.