memory_ingest

Ingest raw content (conversation, document, user input) into verified memory. Creates an artifact and evidence spans. Returns artifact_id.

Server Verifiedstate verifiedstate/verifiedstate-mcp
Category Write
Risk class Medium
Parameters 00 required

What memory_ingest does on Verifiedstate

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

Why memory_ingest needs a policy

The tool creates new data artifacts in a verified memory store. This is a write/create operation - it ingests content and produces persistent artifacts. It does not execute code, delete data, or move money. The severity is medium because AI agents could store incorrect, sensitive, or misleading information into shared memory infrastructure used across multiple sessions and IDEs.

From the tool's definition Ingest raw content (conversation, document, user input) into verified memory. Creates an artifact and evidence spans. Returns artifact_id.

Questions about memory_ingest

What does the memory_ingest tool do? +

Ingest raw content (conversation, document, user input) into verified memory. Creates an artifact and evidence spans. Returns artifact_id. It is categorised as a Write tool in the Verifiedstate MCP Server, which means it can create or modify data. Consider rate limits to prevent runaway writes.

How do I enforce a policy on memory_ingest? +

Register the Verifiedstate MCP server in PolicyLayer and add a rule for memory_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 Verifiedstate. Nothing to install.

What risk level is memory_ingest? +

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

Can I rate-limit memory_ingest? +

Yes. Add a rate_limit block to the memory_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 memory_ingest completely? +

Set action: deny in the PolicyLayer policy for memory_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 memory_ingest? +

memory_ingest is provided by the Verifiedstate MCP server (verifiedstate/verifiedstate-mcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.

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