pg_vector_performance
Analyze vector search performance and index effectiveness. Provide testVector for benchmarking (recommended).
This record as markdown: /tools/io-github-neverinfamous-postgres-mcp/pg-vector-performance.md
What pg_vector_performance does on PostgreSQL MCP Server
AI agents invoke pg_vector_performance to trigger actions in PostgreSQL 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.
Why pg_vector_performance is rated High
This tool executes analysis operations against the PostgreSQL database, which qualifies as Execute rather than Read because benchmarking and performance analysis involve triggering actual query execution and measurement rather than simple retrieval. The testVector parameter suggests active workload execution.
From the tool's definition Tool performs 'Analyze vector search performance and index effectiveness' with optional 'testVector for benchmarking'. Analysis operations typically require executing queries against the database to measure performance metrics.
Attacks that exploit this kind of access
The rule that runs pg_vector_performance safely
PolicyLayer is an MCP gateway: it sits between your AI agents and PostgreSQL MCP Server, and checks every tool call against a rule you set before the call runs. Nothing changes on the server itself. For pg_vector_performance, this is the rule to start with:
pg_vector_performance 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.
The button opens the PolicyLayer dashboard: create your workspace, connect PostgreSQL MCP Server, apply this rule, and every pg_vector_performance call is checked against it from then on.
Questions about pg_vector_performance
Analyze vector search performance and index effectiveness. Provide testVector for benchmarking (recommended). It is categorised as a Execute tool in the PostgreSQL MCP Server MCP Server, which means it can trigger actions or run processes. Use rate limits and argument validation.
Register the PostgreSQL MCP Server MCP server in PolicyLayer and add a rule for pg_vector_performance: 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 PostgreSQL MCP Server. Nothing to install.
pg_vector_performance is a Execute tool with high risk. Execute tools should be rate-limited and have argument validation enabled.
Yes. Add a rate_limit block to the pg_vector_performance 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 pg_vector_performance. 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.
pg_vector_performance is provided by the PostgreSQL MCP Server MCP server (@neverinfamous/postgres-mcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
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