add_context_memory

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

SERVERDelx Mcp A2a SOURCEhttps://api.delx.ai/v1/mcp

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-mcp-a2a/add-context-memory.md

WHAT IT DOES

What add_context_memory does on Delx Mcp A2a

AI agents use add_context_memory to create or update resources in Delx Mcp A2a, usually the action step of a workflow, after the agent has gathered context. Every call changes real data in your Delx Mcp A2a 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 Mcp A2a 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 Mcp A2a, 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 Mcp A2a, 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 Mcp A2a 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 Mcp A2a 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 Mcp A2a. 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 Mcp A2a MCP server (https://api.delx.ai/v1/mcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.

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