Medium Risk

connect_data_source

connect_data_source

How to control connect_data_source ↓

What connect_data_source does on SuperDataAnalysis - DataMaster_MCP

AI agents use connect_data_source to create or update resources in SuperDataAnalysis - DataMaster_MCP — usually the action step of a workflow, after the agent has gathered context. Every call changes real data in your SuperDataAnalysis - DataMaster_MCP environment.

Medium Risk

Why connect_data_source needs a policy

The tool name indicates it creates or establishes a connection—a reversible configuration change rather than a destructive operation. While the empty description reduces confidence, the context of sibling tools managing API storage, sessions, and data imports suggests this tool modifies state by adding or linking a data source.

From the tool's definition Tool name 'connect_data_source' suggests establishing a connection to a data source, which is a state-modifying operation.

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

How to control connect_data_source

PolicyLayer is an MCP gateway — it sits between your AI agents and SuperDataAnalysis - DataMaster_MCP, and nothing reaches the server without passing your rules. This is the rule we recommend for connect_data_source:

policy.json
{
  "version": "1",
  "default": "deny",
  "tools": {
    "connect_data_source": {
      "limits": [
        {
          "counter": "connect_data_source_rate",
          "window": "minute",
          "max": 30,
          "scope": "grant"
        }
      ]
    }
  }
}

connect_data_source stays usable, but capped — an agent stuck in a loop can't make hundreds of changes a minute. Everything else on the server is denied unless you say otherwise.

  1. Create a free account and register SuperDataAnalysis - DataMaster_MCP — 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.
LIMIT THIS TOOL →

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Related tools and policies

Go deeper

Questions about connect_data_source

What does the connect_data_source tool do? +

connect_data_source. It is categorised as a Write tool in the SuperDataAnalysis - DataMaster_MCP MCP Server, which means it can create or modify data. Consider rate limits to prevent runaway writes.

How do I enforce a policy on connect_data_source? +

Register the SuperDataAnalysis - DataMaster_ MCP server in PolicyLayer and add a rule for connect_data_source: 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 SuperDataAnalysis - DataMaster_MCP. Nothing to install.

What risk level is connect_data_source? +

connect_data_source is a Write tool with medium risk. Write tools should be rate-limited to prevent accidental bulk modifications.

Can I rate-limit connect_data_source? +

Yes. Add a rate_limit block to the connect_data_source 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_data_source completely? +

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

connect_data_source is provided by the SuperDataAnalysis - DataMaster_ MCP server (szqshan/datamaster-mcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.

Enforce policy on every SuperDataAnalysis - DataMaster_MCP tool call.

Start from SuperDataAnalysis - DataMaster_MCP, 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.

14 SuperDataAnalysis - DataMaster_MCP tools catalogued and risk-classified — across an index of 43,000+ MCP servers.

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