AI agents call get_grounding_information to retrieve information from MindManager MCP Server without modifying anything — typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.
The 'get_' prefix and the server's primary function of retrieving and exporting mind map data suggest this tool queries or fetches information without modifying state. No description is provided, which slightly reduces confidence, but the contextual evidence from sibling tools and naming convention support Read classification. This operation has minimal blast radius if misused by an AI agent.
From the tool's definition Tool name 'get_grounding_information' uses the verb 'get', which indicates data retrieval. Server context shows tools primarily retrieve mind map structures and export data.
Documented attack patterns abuse exactly the kind of access get_grounding_information gives an agent:
PolicyLayer is an MCP gateway — it sits between your AI agents and MindManager MCP Server, and nothing reaches the server without passing your rules. This is the rule we recommend for get_grounding_information:
{
"version": "1",
"default": "deny",
"tools": {
"get_grounding_information": {}
}
}get_grounding_information is read-only, so it stays allowed — but everything else on the server is denied unless you say otherwise.
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get_grounding_information. It is categorised as a Read tool in the MindManager MCP Server MCP Server, which means it retrieves data without modifying state.
Register the MindManager MCP Server MCP server in PolicyLayer and add a rule for get_grounding_information: 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 MindManager MCP Server. Nothing to install.
get_grounding_information is a Read tool with low risk. Read-only tools are generally safe to allow by default.
Yes. Add a rate_limit block to the get_grounding_information 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 get_grounding_information. 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.
get_grounding_information is provided by the MindManager MCP Server MCP server (robertzaufall/mindm-mcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
Start from MindManager MCP Server, add the rest of your stack, and see everything your agents can call. Then put policy on all of it.
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11 MindManager MCP Server tools catalogued and risk-classified — across an index of 43,000+ MCP servers.