This record as markdown: /tools/dense-knowledge-mcp/mmp-list.md
What mmp_list does on Pypi:dense Knowledge
AI agents call mmp_list to retrieve information from Pypi:dense Knowledge without modifying anything. It is typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.
Why mmp_list is rated Low
This tool retrieves and displays information about available packages without modifying, deleting, or executing anything. It is purely informational, matching the Read category profile (list, fetch, search). The blast radius of misuse is minimal—an agent listing packages cannot cause data loss or financial harm.
From the tool's definition Tool name 'mmp_list' and description 'List available MMP packages' indicate a query/enumeration operation with no side effects.
Attacks that exploit this kind of access
The rule that runs mmp_list safely
PolicyLayer is an MCP gateway: it sits between your AI agents and Pypi:dense Knowledge, and checks every tool call against a rule you set before the call runs. Nothing changes on the server itself. For mmp_list, this is the rule to start with:
mmp_list is read-only, so it stays allowed. Everything else on the server is denied unless you say otherwise.
The button opens the PolicyLayer dashboard: create your workspace, connect Pypi:dense Knowledge, apply this rule, and every mmp_list call is checked against it from then on.
Questions about mmp_list
List available MMP packages. It is categorised as a Read tool in the Pypi:dense Knowledge MCP Server, which means it retrieves data without modifying state.
Register the Pypi:dense Knowledge MCP server in PolicyLayer and add a rule for mmp_list: 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 Pypi:dense Knowledge. Nothing to install.
mmp_list 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 mmp_list 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 mmp_list. 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.
mmp_list is provided by the Pypi:dense Knowledge MCP server (Lucky44k/dense-knowledge-mcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
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