context_ingest

Remember new information durably. USE WHEN: the user states a fact, preference, person, project,

SERVERChitta SOURCE@100xprompt/chitta

Medium RISK CLASS

Category Write

Parameters 00 required

Recommended Rate-limitedsee the rule below

Registry record Grade B, identity unverified Pull the record →

This record as markdown: /tools/100xprompt-chitta/context-ingest.md

WHAT IT DOES

What context_ingest does on Chitta

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

RISK

Why context_ingest is rated Medium

This tool ingests and durably stores new information into the memory system, which is a write/create operation. It is reversible (there is a sibling 'context_forget' tool suggesting deletion is possible), so it falls under Write rather than Destructive. Medium severity because an AI agent could store false, sensitive, or manipulated information into persistent memory, affecting future agent behavior.

From the tool's definition "Remember new information durably" — creates/stores new data persistently in the knowledge-graph + vector memory

Attacks that exploit this kind of access

RECOMMENDED RULE

The rule that runs context_ingest safely

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

context_ingest Rate-limited

context_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": {
    "context_ingest": {
      "limits": [
        {
          "counter": "context_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 Chitta, apply this rule, and every context_ingest call is checked against it from then on.

FAQ

Questions about context_ingest

What does the context_ingest tool do? +

Remember new information durably. USE WHEN: the user states a fact, preference, person, project,. It is categorised as a Write tool in the Chitta MCP Server, which means it can create or modify data. Consider rate limits to prevent runaway writes.

How do I enforce a policy on context_ingest? +

Register the Chitta MCP server in PolicyLayer and add a rule for context_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 Chitta. Nothing to install.

What risk level is context_ingest? +

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

Can I rate-limit context_ingest? +

Yes. Add a rate_limit block to the context_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 context_ingest completely? +

Set action: deny in the PolicyLayer policy for context_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 context_ingest? +

context_ingest is provided by the Chitta MCP server (@100xprompt/chitta). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.

KEEP EXPLORING

More on Chitta, and thousands of servers like it.

This server

All 11 Chitta tools →

Across the catalogue

The MCP Attack Database →

Guides

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