add_context_memory

Persist key-value context for future sessions (TTL-based). Free Delx Protocol tool.

SERVERDelx Protocol — Agent Recovery & Continuity SOURCEhttps://api.delx.ai/v1/mcp?src=registry

Medium RISK CLASS

Category Write

Parameters 43 required

Recommended Rate-limitedsee the rule below

Registry record Grade F, identity unverified Pull the record →

This record as markdown: /tools/io-github-davidmosiah-delx-protocol/add-context-memory.md

WHAT IT DOES

What add_context_memory does on Delx Protocol — Agent Recovery & Continuity

AI agents use add_context_memory to create or update resources in Delx Protocol — Agent Recovery & Continuity, usually the action step of a workflow, after the agent has gathered context. Every call changes real data in your Delx Protocol — Agent Recovery & Continuity environment.

Parameter	Type	Required	Description
`key`	string	Yes	Context key
`value`	string	Yes	Context value
`ttl_hours`	integer	—	Optional retention window in hours
`session_id`	string	Yes	Your active session ID

Parameters from the server's own tool schema.

RISK

Why add_context_memory is rated Medium

An AI agent can call add_context_memory faster than any human can review: one bad instruction and it creates or modifies resources in Delx Protocol — Agent Recovery & Continuity by the hundred, each call as confident as the last.

Attacks that exploit this kind of access

RECOMMENDED RULE

The rule that runs add_context_memory safely

PolicyLayer is an MCP gateway: it sits between your AI agents and Delx Protocol — Agent Recovery & Continuity, and checks every tool call against a rule you set before the call runs. Nothing changes on the server itself. For add_context_memory, this is the rule to start with:

add_context_memory Rate-limited

add_context_memory 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": {
    "add_context_memory": {
      "limits": [
        {
          "counter": "add_context_memory_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 Delx Protocol — Agent Recovery & Continuity, apply this rule, and every add_context_memory call is checked against it from then on.

FAQ

Questions about add_context_memory

What does the add_context_memory tool do? +

Persist key-value context for future sessions (TTL-based). Free Delx Protocol tool. It is categorised as a Write tool in the Delx Protocol — Agent Recovery & Continuity MCP Server, which means it can create or modify data. Consider rate limits to prevent runaway writes.

What parameters does add_context_memory accept? +

add_context_memory accepts 4 parameters: key, value, ttl_hours, session_id. Required: key, value, session_id. The full parameter table on this page comes from the server's own tool schema.

How do I enforce a policy on add_context_memory? +

Register the Delx Protocol — Agent Recovery & Continuity MCP server in PolicyLayer and add a rule for add_context_memory: 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 Delx Protocol — Agent Recovery & Continuity. Nothing to install.

What risk level is add_context_memory? +

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

Can I rate-limit add_context_memory? +

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

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

add_context_memory is provided by the Delx Protocol — Agent Recovery & Continuity MCP server (https://api.delx.ai/v1/mcp?src=registry). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.

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