How many tools does Postgresql Mcp provide?
The server started with 38 tools, was optimized to 19, and then extended to 27 high-value tools covering query optimization, data management, transactions, and monitoring.
@prasanna00019
Basic information
## Overview
Add this server to your MCP-compatible client using the configuration below.
{
"mcpServers": {
"SchemaIntelligence": {
"command": "C:\\Users\\user\\.local\\bin\\uv.EXE",
"args": [
"run",
"--frozen",
"--with",
"mcp[cli]",
"--with",
"psycopg2",
"--with",
"ollama",
"--with",
"pymermaid",
"--with",
"requests",
"--with",
"pillow",
"mcp",
"run",
"C:\\Users\\user\\Desktop\\MCP-ToolHub\\PostgreSQL-MCP\\postgresql_server.py"
],
"env": {
"DB_HOST": "localhost",
"DB_PORT": "6739",
"DB_NAME": "MCP",
"DB_USER": "postgres",
"DB_PASSWORD": "radha",
"OLLAMA_BASE_URL": "http://192.168.1.143:11434",
"OLLAMA_MODEL": "gpt-oss:120b-cloud",
"DEBUG": "False"
}
}
}
}Tool list not available yet
This listing does not currently have a tool list to display. This does not mean the server has no tools; check its documentation for supported capabilities.
We auto-extract tools from the README. The maintainer can list them under a ## Tools heading to populate this section.
Postgresql Mcp is an MCP server that delivers intelligent analysis, documentation, and complete CRUD operations for PostgreSQL databases. It combines deterministic schema extraction with AI-powered reasoning and secure data manipulation, enabling users and AI agents to understand and interact with complex database structures.
The server exposes 27 tools covering all PostgreSQL operations. Use an MCP client (e.g., Claude Desktop) to connect and invoke tools for schema extraction, query analysis, data management, and monitoring.
The server started with 38 tools, was optimized to 19, and then extended to 27 high-value tools covering query optimization, data management, transactions, and monitoring.
All CRUD operations use parameterized queries and input validation to prevent SQL injection.
Yes, it supports atomic multi-operation transactions with rollback capabilities.
Output includes Mermaid ER diagrams, relationship flowcharts, and rendered files in SVG, PNG, PDF, and Markdown.
The server leverages Ollama or another LLM to generate business explanations and recommendations from database schemas and query results.

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