mmp_open
Return metadata, legend, sources, and index only.
This record as markdown: /tools/dense-knowledge-mcp/mmp-open.md
What mmp_open does on Pypi:dense Knowledge
AI agents call mmp_open 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_open is rated Low
The tool only retrieves and returns informational content (metadata, legend, sources, index) without creating, modifying, or deleting any data. The word 'only' reinforces that this is a pure read operation with no side effects. Low severity as it accesses an append-only local knowledge store with no sensitive financial or destructive capabilities.
From the tool's definition Return metadata, legend, sources, and index only.
Attacks that exploit this kind of access
The rule that runs mmp_open 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_open, this is the rule to start with:
mmp_open 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_open call is checked against it from then on.
Questions about mmp_open
Return metadata, legend, sources, and index only. 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_open: 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_open 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_open 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_open. 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_open 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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