mmp_search

Search index metadata; returns candidates without body text.

SERVERPypi:dense Knowledge SOURCELucky44k/dense-knowledge-mcp

Low RISK CLASS

Category Read

Parameters 00 required

Recommended Allowedsee the rule below

Registry record Grade B, identity unverified Pull the record →

This record as markdown: /tools/dense-knowledge-mcp/mmp-search.md

WHAT IT DOES

What mmp_search does on Pypi:dense Knowledge

AI agents call mmp_search 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.

RISK

Why mmp_search is rated Low

The mmp_search tool performs a read-only query of metadata in a knowledge storage system. It searches an index and returns candidates, with no indication of side effects, data modification, or irreversible actions. The explicit note that it 'returns candidates without body text' further confirms it is a retrieval operation.

From the tool's definition Tool description states 'Search index metadata; returns candidates without body text.' This is a retrieval operation that queries an index and returns results without modifying data.

Attacks that exploit this kind of access

RECOMMENDED RULE

The rule that runs mmp_search 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_search, this is the rule to start with:

mmp_search Allowed

mmp_search is read-only, so it stays allowed. Everything else on the server is denied unless you say otherwise.

View as policy code

policy.json

{
  "version": "1",
  "default": "deny",
  "tools": {
    "mmp_search": {}
  }
}

ALLOW ONLY THIS TOOL → Instant setup, no code required.

The button opens the PolicyLayer dashboard: create your workspace, connect Pypi:dense Knowledge, apply this rule, and every mmp_search call is checked against it from then on.

FAQ

Questions about mmp_search

What does the mmp_search tool do? +

Search index metadata; returns candidates without body text. It is categorised as a Read tool in the Pypi:dense Knowledge MCP Server, which means it retrieves data without modifying state.

How do I enforce a policy on mmp_search? +

Register the Pypi:dense Knowledge MCP server in PolicyLayer and add a rule for mmp_search: 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.

What risk level is mmp_search? +

mmp_search is a Read tool with low risk. Read-only tools are generally safe to allow by default.

Can I rate-limit mmp_search? +

Yes. Add a rate_limit block to the mmp_search 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 mmp_search completely? +

Set action: deny in the PolicyLayer policy for mmp_search. 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 mmp_search? +

mmp_search 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.

KEEP EXPLORING

More on Pypi:dense Knowledge, and thousands of servers like it.

This server

All 8 Pypi:dense Knowledge tools →

Across the catalogue

search_torrents on M-Team MCP Server →aiva_search_customers on AIVA MCP Server →search_channel on YouTube MCP Server →hybrid_search on Azure AI Agent Service + Azure AI Search MCP Server → The MCP Attack Database →

Guides

Roll out MCP under one policy →Data exfiltration →MCP token cost →