New Your team’s decisions, in one playbook every coding agent works from. Never answer your agent twice

ingest_dialogue

Distill raw dialogue turns into the Cue\u2013Tag\u2013Content associative memory graph (MRAgent-style

SERVEREnhanced Knowledge Graph Memory Server SOURCEdanielsimonjr/memory-mcp
Low RISK CLASS
Category Read
Parameters 00 required
Recommended Allowedsee the rule below
Registry record Grade F, identity unverified Pull the record →

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

What ingest_dialogue does on Enhanced Knowledge Graph Memory Server

AI agents call ingest_dialogue to retrieve information from Enhanced Knowledge Graph Memory Server without modifying anything. It is typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.

Why ingest_dialogue is rated Low

Even though ingest_dialogue only reads data, uncontrolled read access leaks sensitive information and racks up API costs: an agent caught in a retry loop can make thousands of calls a minute without anyone noticing.

Questions about ingest_dialogue

What does the ingest_dialogue tool do? +

Distill raw dialogue turns into the Cue\u2013Tag\u2013Content associative memory graph (MRAgent-style. It is categorised as a Read tool in the Enhanced Knowledge Graph Memory Server MCP Server, which means it retrieves data without modifying state.

How do I enforce a policy on ingest_dialogue? +

Register the Enhanced Knowledge Graph Memory Server MCP server in PolicyLayer and add a rule for ingest_dialogue: 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_dialogue? +

ingest_dialogue is a Read tool with low risk. Read-only tools are generally safe to allow by default.

Can I rate-limit ingest_dialogue? +

Yes. Add a rate_limit block to the ingest_dialogue 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_dialogue completely? +

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

ingest_dialogue 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.

More on Enhanced Knowledge Graph Memory Server, and thousands of servers like it.

Across the catalogue

// THE MCP REGISTRY

PolicyLayer tracks 44,603 MCP servers and 515,000+ tools.

Every server has a live record: who publishes it, whether it answers without auth, its risk grade, every tool classified, the recommended policy. This page is one line of Enhanced Knowledge Graph Memory Server's. Pull the full record:

Teams ship this data inside their own products. See what a licence covers →

// GET IN TOUCH

Have a question or want to learn more? Send us a message.

Message sent.

We'll get back to you soon.