ingest

SERVEREnhanced Knowledge Graph Memory Server SOURCEdanielsimonjr/memory-mcp

Medium RISK CLASS

Category Write

Parameters 00 required

Recommended Rate-limitedsee the rule below

Registry record Grade F, identity unverified Pull the record →

This record as markdown: /tools/danielsimonjr-memory-mcp/ingest.md

WHAT IT DOES

What ingest does on Enhanced Knowledge Graph Memory Server

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

RISK

Why ingest is rated Medium

This tool writes new data (entities and observations) into the knowledge graph by ingesting conversation data. It creates new records but does not delete or overwrite existing data, making it a Write operation. Severity is medium because bulk ingestion could pollute the knowledge graph with large amounts of data, but it is reversible in principle.

From the tool's definition Ingest pre-normalized conversation data into the knowledge graph... creates entities with verbatim observations

Attacks that exploit this kind of access

RECOMMENDED RULE

The rule that runs ingest safely

PolicyLayer is an MCP gateway: it sits between your AI agents and Enhanced Knowledge Graph Memory Server, and checks every tool call against a rule you set before the call runs. Nothing changes on the server itself. For ingest, this is the rule to start with:

ingest Rate-limited

ingest 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": {
    "ingest": {
      "limits": [
        {
          "counter": "ingest_rate",
          "window": "minute",
          "max": 30,
          "scope": "grant"
        }
      ]
    }
  }
}

LIMIT THIS TOOL → Instant setup, no code required.

The button opens the PolicyLayer dashboard: create your workspace, connect Enhanced Knowledge Graph Memory Server, apply this rule, and every ingest call is checked against it from then on.

FAQ

Questions about ingest

What does the ingest tool do? +

Ingest pre-normalized conversation data into the knowledge graph. Chunks messages by exchange pairs (user+assistant), creates entities with verbatim observations. Format-agnostic: normalize chat exports before calling. It is categorised as a Write tool in the Enhanced Knowledge Graph 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 ingest? +

Register the Enhanced Knowledge Graph Memory Server MCP server in PolicyLayer and add a rule for ingest: 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 Enhanced Knowledge Graph Memory Server. Nothing to install.

What risk level is ingest? +

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

Can I rate-limit ingest? +

Yes. Add a rate_limit block to the ingest 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 ingest completely? +

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

ingest is provided by the Enhanced Knowledge Graph Memory Server MCP server (danielsimonjr/memory-mcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.

KEEP EXPLORING

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Govern customer-ops agents →Argument validation →Scoped token →