query_data

Execute SQL-like queries on loaded datasets

SERVERContextForge MCP Gateway SOURCEjrmatherly/mcp-context-forge

High RISK CLASS

Category Execute

Parameters 00 required

Recommended Rate-limitedsee the rule below

Registry record Grade F, identity unverified Pull the record →

This record as markdown: /tools/jrmatherly-mcp-context-forge/query-data.md

WHAT IT DOES

What query_data does on ContextForge MCP Gateway

AI agents invoke query_data to trigger actions in ContextForge MCP Gateway. 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.

RISK

Why query_data is rated High

The tool explicitly executes SQL-like queries. While it references 'loaded datasets' which may limit scope, SQL-like query interfaces commonly support destructive statements (DROP, DELETE, UPDATE) or expensive operations.

From the tool's definition "Execute SQL-like queries on loaded datasets"

Attacks that exploit this kind of access

RECOMMENDED RULE

The rule that runs query_data safely

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

query_data Rate-limited

query_data 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.

View as policy code

policy.json

{
  "version": "1",
  "default": "deny",
  "tools": {
    "query_data": {
      "limits": [
        {
          "counter": "query_data_rate",
          "window": "minute",
          "max": 10,
          "scope": "grant"
        }
      ]
    }
  }
}

RATE-LIMIT THIS TOOL → Instant setup, no code required.

The button opens the PolicyLayer dashboard: create your workspace, connect ContextForge MCP Gateway, apply this rule, and every query_data call is checked against it from then on.

FAQ

Questions about query_data

What does the query_data tool do? +

Execute SQL-like queries on loaded datasets. It is categorised as a Execute tool in the ContextForge MCP Gateway MCP Server, which means it can trigger actions or run processes. Use rate limits and argument validation.

How do I enforce a policy on query_data? +

Register the ContextForge MCP Gateway MCP server in PolicyLayer and add a rule for query_data: 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 ContextForge MCP Gateway. Nothing to install.

What risk level is query_data? +

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

Can I rate-limit query_data? +

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

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

query_data is provided by the ContextForge MCP Gateway MCP server (jrmatherly/mcp-context-forge). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.

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