mysql_vector_search

Find the K nearest neighbors to a query vector.

SERVERMysql Mcp SOURCEoci:docker.io/writenotenow/mysql-mcp:v1.0.0

Low RISK CLASS

Category Read

Parameters 00 required

Recommended Allowedsee the rule below

Registry record Grade F, identity unverified Pull the record →

This record as markdown: /tools/io-github-neverinfamous-mysql-mcp/mysql-vector-search.md

WHAT IT DOES

What mysql_vector_search does on Mysql Mcp

AI agents call mysql_vector_search to retrieve information from Mysql Mcp without modifying anything. It is typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.

RISK

Why mysql_vector_search is rated Low

This tool queries a vector database to retrieve similar vectors based on proximity. It is a read-only search operation that retrieves data without side effects, reversible changes, code execution, destruction, or financial impact. The k-nearest-neighbors search pattern is a standard retrieval query in machine learning and database contexts.

From the tool's definition Tool name 'mysql_vector_search' and description 'Find the K nearest neighbors to a query vector' indicate a search/retrieval operation with no data modification, deletion, or external execution.

Attacks that exploit this kind of access

RECOMMENDED RULE

The rule that runs mysql_vector_search safely

PolicyLayer is an MCP gateway: it sits between your AI agents and Mysql Mcp, and checks every tool call against a rule you set before the call runs. Nothing changes on the server itself. For mysql_vector_search, this is the rule to start with:

mysql_vector_search Allowed

mysql_vector_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": {
    "mysql_vector_search": {}
  }
}

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

The button opens the PolicyLayer dashboard: create your workspace, connect Mysql Mcp, apply this rule, and every mysql_vector_search call is checked against it from then on.

FAQ

Questions about mysql_vector_search

What does the mysql_vector_search tool do? +

Find the K nearest neighbors to a query vector. It is categorised as a Read tool in the Mysql Mcp MCP Server, which means it retrieves data without modifying state.

How do I enforce a policy on mysql_vector_search? +

Register the Mysql MCP server in PolicyLayer and add a rule for mysql_vector_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 Mysql Mcp. Nothing to install.

What risk level is mysql_vector_search? +

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

Can I rate-limit mysql_vector_search? +

Yes. Add a rate_limit block to the mysql_vector_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 mysql_vector_search completely? +

Set action: deny in the PolicyLayer policy for mysql_vector_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 mysql_vector_search? +

mysql_vector_search is provided by the Mysql MCP server (oci:docker.io/writenotenow/mysql-mcp:v1.0.0). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.

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