Execute a SELECT query on a KDB+ table
AI agents call kdb_select to retrieve information from KDB MCP Service without modifying anything — typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.
A SELECT query is a read-only operation that retrieves data from a KDB+ table. However, severity is medium because this is a financial/time-series database (as noted in the server description) containing potentially sensitive financial data.
From the tool's definition 'Execute a SELECT query on a KDB+ table' — SELECT queries retrieve data without modifying it
Attacks that exploit this kind of access
Execute a SELECT query on a KDB+ table. It is categorised as a Read tool in the KDB MCP Service MCP Server, which means it retrieves data without modifying state.
Register the KDB MCP Service MCP server in PolicyLayer and add a rule for kdb_select: 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 KDB MCP Service. Nothing to install.
kdb_select is a Read tool with low risk. Read-only tools are generally safe to allow by default.
Yes. Add a rate_limit block to the kdb_select 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.
Set action: deny in the PolicyLayer policy for kdb_select. 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.
kdb_select is provided by the KDB MCP Service MCP server (riteshsonawala/kdb-mcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
Every MCP server has a record like this.
Type a name, get the same breakdown: verified identity, auth posture, risk grade, capabilities, recommended policy.
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