by isdaniel · MCP Server · ★ 24
PostgreSQL Performance Tuning MCP A Model Context Protocol (MCP) server that provides AI-powered PostgreSQL performance tuning capabilities. This server helps identify slow queries, recommend optimal indexes, analyze execution plans, and leverage HypoPG for hypothetical index testing. Features Query Analysis Retrieve slow queries from with detailed statistics Analyze query execution plans with and Identify performance bottlenecks with automated plan analysis Monitor active queries and detect long-running transactions Index Tuning AI-powered index recommendations based on query workload...
| Stars | 24 |
| Forks | 5 |
| Language | Python |
| Category | MCP Server |
| License | Apache-2.0 |
| Quality Score | 73.831537080702/100 |
| Open Issues | 1 |
| Last Updated | 2026-06-02 |
| Created | 2025-11-25 |
| Platforms | mcp, python |
| Est. Tokens | ~20k |
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pgtuner_mcp is provides AI-powered PostgreSQL performance tuning capabilities.. It is categorized as a MCP Server with 24 GitHub stars.
pgtuner_mcp is primarily written in Python. It covers topics such as ai, mcp-server, python.
You can find installation instructions and usage details in the pgtuner_mcp GitHub repository at github.com/isdaniel/pgtuner_mcp. The project has 24 stars and 5 forks, indicating an active community.
pgtuner_mcp is released under the Apache-2.0 license, making it free to use and modify according to the license terms.