mcp_memory_add_observations · MCP Memory Server MCP

WHAT IT DOES

What mcp_memory_add_observations does on MCP Memory Server

AI agents use mcp_memory_add_observations to create or update resources in MCP Memory Server — usually the action step of a workflow, after the agent has gathered context. Every call changes real data in your MCP Memory Server environment.

WHY IT NEEDS A POLICY

Why mcp_memory_add_observations needs a policy

This tool creates or appends new observation records to existing entities in the knowledge graph, which is a reversible modification operation. It does not execute external code, delete data, or involve financial transactions.

From the tool's definition Tool name includes 'add_observations' which modifies existing entities by appending data to them. Description states it adds observations 'to existing entities', indicating a create/write operation that extends entity records.

Attacks that exploit this kind of access

Recommended rule Ready

Verdict

mcp_memory_add_observations Rate-limited

mcp_memory_add_observations stays usable, but capped — an agent stuck in a loop can't make hundreds of changes a minute. Everything else on the server is denied unless you say otherwise.

View as policy code

policy.json

{
  "version": "1",
  "default": "deny",
  "tools": {
    "mcp_memory_add_observations": {
      "limits": [
        {
          "counter": "mcp_memory_add_observations_rate",
          "window": "minute",
          "max": 30,
          "scope": "grant"
        }
      ]
    }
  }
}

LIMIT THIS TOOL →

Instant setup, no code required.

PolicyLayer is an MCP gateway: every tool call is checked against your rule before it reaches MCP Memory Server, so you can run agents against it safely.

FAQ

Questions about mcp_memory_add_observations

What does the mcp_memory_add_observations tool do? +

Add observations to existing entities. It is categorised as a Write tool in the MCP Memory Server MCP Server, which means it can create or modify data. Consider rate limits to prevent runaway writes.

How do I enforce a policy on mcp_memory_add_observations? +

Register the MCP Memory Server MCP server in PolicyLayer and add a rule for mcp_memory_add_observations: 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 MCP Memory Server. Nothing to install.

What risk level is mcp_memory_add_observations? +

mcp_memory_add_observations is a Write tool with medium risk. Write tools should be rate-limited to prevent accidental bulk modifications.

Can I rate-limit mcp_memory_add_observations? +

Yes. Add a rate_limit block to the mcp_memory_add_observations 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.

How do I block mcp_memory_add_observations completely? +

Set action: deny in the PolicyLayer policy for mcp_memory_add_observations. 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 mcp_memory_add_observations? +

mcp_memory_add_observations is provided by the MCP Memory Server MCP server (jessefreitas/mcp_memory). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.