High Risk →

connect_to_database

Connect to a SQL Server RDS instance and save the connection internally

How to control connect_to_database ↓

What connect_to_database does on Amazon Redshift MCP Server

AI agents invoke connect_to_database to trigger actions in Amazon Redshift MCP Server. What it does depends on the arguments the agent supplies, and its effects often reach beyond the immediate call — builds kicked off, notifications sent, workflows started.

High Risk

Why connect_to_database needs a policy

This tool initiates an active connection to an RDS SQL Server instance and stores it for subsequent use. While not directly reading/writing data, it executes an external operation (network connection to a database) with persistent side effects. Misuse could expose a database connection to unauthorized queries or actions.

From the tool's definition 'Connect to a SQL Server RDS instance and save the connection internally' — establishes a live database connection and persists it

Documented attack patterns abuse exactly the kind of access connect_to_database gives an agent:

How to control connect_to_database

PolicyLayer is an MCP gateway — it sits between your AI agents and Amazon Redshift MCP Server, and nothing reaches the server without passing your rules. This is the rule we recommend for connect_to_database:

policy.json
{
  "version": "1",
  "default": "deny",
  "tools": {
    "connect_to_database": {
      "limits": [
        {
          "counter": "connect_to_database_rate",
          "window": "minute",
          "max": 10,
          "scope": "grant"
        }
      ]
    }
  }
}

connect_to_database stays usable, but rate-capped — a runaway agent can't fire it dozens of times a minute. Everything else on the server is denied unless you say otherwise.

  1. Create a free account and register Amazon Redshift MCP Server — nothing to install.
  2. Add this policy — paste it, or build it visually.
  3. Point your MCP client (Claude, Cursor, anything) at your gateway URL.
RATE-LIMIT THIS TOOL →

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Related tools and policies

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Questions about connect_to_database

What does the connect_to_database tool do? +

Connect to a SQL Server RDS instance and save the connection internally. It is categorised as a Execute tool in the Amazon Redshift MCP Server MCP Server, which means it can trigger actions or run processes. Use rate limits and argument validation.

How do I enforce a policy on connect_to_database? +

Register the Amazon Redshift MCP Server MCP server in PolicyLayer and add a rule for connect_to_database: 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 Amazon Redshift MCP Server. Nothing to install.

What risk level is connect_to_database? +

connect_to_database is a Execute tool with high risk. Execute tools should be rate-limited and have argument validation enabled.

Can I rate-limit connect_to_database? +

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

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

connect_to_database is provided by the Amazon Redshift MCP Server MCP server (awslabs.redshift-mcp-server). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.

Enforce policy on every Amazon Redshift MCP Server tool call.

Start from Amazon Redshift MCP Server, add the rest of your stack, and see everything your agents can call. Then put policy on all of it.

Free to start. No card required.

805 Amazon Redshift MCP Server tools catalogued and risk-classified — across an index of 43,000+ MCP servers.

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