Manage multi-agent memory sharing and collaboration
AI agents use memory_agent_network to create or update resources in Documcp — usually the action step of a workflow, after the agent has gathered context. Every call changes real data in your Documcp environment.
The tool manages memory sharing across agents, implying it can create, update, or modify shared memory/state. 'Manage' suggests write operations to a shared memory store. It could also involve read operations, but managing implies the ability to modify. The description is vague, lowering confidence. Severity is medium as corrupted or manipulated shared memory could affect multi-agent behavior and coordination.
From the tool's definition Manage multi-agent memory sharing and collaboration
Documented attack patterns abuse exactly the kind of access memory_agent_network gives an agent:
PolicyLayer is an MCP gateway — it sits between your AI agents and Documcp, and nothing reaches the server without passing your rules. This is the rule we recommend for memory_agent_network:
{
"version": "1",
"default": "deny",
"tools": {
"memory_agent_network": {
"limits": [
{
"counter": "memory_agent_network_rate",
"window": "minute",
"max": 30,
"scope": "grant"
}
]
}
}
}memory_agent_network 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.
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Manage multi-agent memory sharing and collaboration. It is categorised as a Write tool in the Documcp MCP Server, which means it can create or modify data. Consider rate limits to prevent runaway writes.
Register the Docu MCP server in PolicyLayer and add a rule for memory_agent_network: 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 Documcp. Nothing to install.
memory_agent_network is a Write tool with medium risk. Write tools should be rate-limited to prevent accidental bulk modifications.
Yes. Add a rate_limit block to the memory_agent_network 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.
Set action: deny in the PolicyLayer policy for memory_agent_network. 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.
memory_agent_network is provided by the Docu MCP server (tosin2013/documcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
Start from Documcp, add the rest of your stack, and see everything your agents can call. Then put policy on all of it.
Free to start. No card required.
52 Documcp tools catalogued and risk-classified — across an index of 43,000+ MCP servers.