pg_text_sentiment

Perform basic sentiment analysis on text using keyword matching.

SERVERPostgreSQL MCP Server SOURCE@neverinfamous/postgres-mcp

Low RISK CLASS

Category Read

Parameters 00 required

Recommended Allowedsee the rule below

Registry record Grade F, identity unverified Pull the record →

This record as markdown: /tools/io-github-neverinfamous-postgres-mcp/pg-text-sentiment.md

WHAT IT DOES

What pg_text_sentiment does on PostgreSQL MCP Server

AI agents call pg_text_sentiment to retrieve information from PostgreSQL MCP Server without modifying anything. It is typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.

RISK

Why pg_text_sentiment is rated Low

Sentiment analysis via keyword matching is a read-only analytical operation. It queries/analyzes text data but produces no side effects, creates no data modifications, executes no code, and poses no destructive or financial risk.

From the tool's definition Tool name 'pg_text_sentiment' and description 'Perform basic sentiment analysis on text using keyword matching' indicate a data analysis operation that reads text and returns sentiment scores without modifying, deleting, or executing external operations.

Attacks that exploit this kind of access

RECOMMENDED RULE

The rule that runs pg_text_sentiment 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_text_sentiment, this is the rule to start with:

pg_text_sentiment Allowed

pg_text_sentiment is read-only, so it stays allowed. Everything else on the server is denied unless you say otherwise.

View as policy code

policy.json

{
  "version": "1",
  "default": "deny",
  "tools": {
    "pg_text_sentiment": {}
  }
}

ALLOW ONLY THIS TOOL → Instant setup, no code required.

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

FAQ

Questions about pg_text_sentiment

What does the pg_text_sentiment tool do? +

Perform basic sentiment analysis on text using keyword matching. It is categorised as a Read tool in the PostgreSQL MCP Server MCP Server, which means it retrieves data without modifying state.

How do I enforce a policy on pg_text_sentiment? +

Register the PostgreSQL MCP Server MCP server in PolicyLayer and add a rule for pg_text_sentiment: 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.

What risk level is pg_text_sentiment? +

pg_text_sentiment is a Read tool with low risk. Read-only tools are generally safe to allow by default.

Can I rate-limit pg_text_sentiment? +

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

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

pg_text_sentiment 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.

KEEP EXPLORING

What pg_text_sentiment does on PostgreSQL MCP Server

Why pg_text_sentiment is rated Low

The rule that runs pg_text_sentiment safely

Questions about pg_text_sentiment

More on PostgreSQL MCP Server, and thousands of servers like it.