High Risk →

recall

Retrieve relevant memories for a given query. Call at the start of user turns to fetch prior context, preferences, and facts.

Accepts freeform code/query input (query); Single-target operation

Part of the Memori MCP server. Enforce policies on this tool with Intercept, the open-source MCP proxy.

@memorilabs/memori-mcp Execute Risk 4/5

AI agents invoke recall to trigger processes or run actions in Memori. Execute operations can have side effects beyond the immediate call -- triggering builds, sending notifications, or starting workflows. Rate limits and argument validation are essential to prevent runaway execution.

recall can trigger processes with real-world consequences. An uncontrolled agent might start dozens of builds, send mass notifications, or kick off expensive compute jobs. Intercept enforces rate limits and validates arguments to keep execution within safe bounds.

Execute tools trigger processes. Rate-limit and validate arguments to prevent unintended side effects.

io-github-memorilabs-memori-mcp.yaml
tools:
  recall:
    rules:
      - action: allow
        rate_limit:
          max: 10
          window: 60
        validate:
          required_args: true

See the full Memori policy for all 2 tools.

Tool Name recall
Category Execute
MCP Server Memori MCP Server
Risk Level High

Agents calling execute-class tools like recall have been implicated in these attack patterns. Read the full case and prevention policy for each:

Browse the full MCP Attack Database →

Other tools in the Execute risk category across the catalogue. The same policy patterns (rate-limit, validate) apply to each.

recall is one of the high-risk operations in Memori. For the full severity-focused view — only the high-risk tools with their recommended policies — see the breakdown for this server, or browse all high-risk tools across every MCP server.

What does the recall tool do? +

Retrieve relevant memories for a given query. Call at the start of user turns to fetch prior context, preferences, and facts.. It is categorised as a Execute tool in the Memori MCP Server, which means it can trigger actions or run processes. Use rate limits and argument validation.

How do I enforce a policy on recall? +

Add a rule in your Intercept YAML policy under the tools section for recall. You can allow, deny, rate-limit, or validate arguments. Then run Intercept as a proxy in front of the Memori MCP server.

What risk level is recall? +

recall is a Execute tool with high risk. Execute tools should be rate-limited and have argument validation enabled.

Can I rate-limit recall? +

Yes. Add a rate_limit block to the recall rule in your Intercept 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.

How do I block recall completely? +

Set action: deny in the Intercept policy for recall. 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.

What MCP server provides recall? +

recall is provided by the Memori MCP server (@memorilabs/memori-mcp). Intercept sits as a proxy in front of this server to enforce policies before tool calls reach the server.

Enforce policies on Memori

Open source. One binary. Zero dependencies.

npx -y @policylayer/intercept
github.com/policylayer/intercept →
// GET IN TOUCH

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