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PostgreSQL performance Tuner MCP Server

作者:isdaniel版本 0.5.2i★ –i在你的电脑上运行
注册名称io.github.isdaniel/pgtuner_mcp

安装

概览

作者提供的说明(英文原文)

provides AI-powered PostgreSQL performance tuning capabilities.

PopNx MCP 的三大支柱

这三项永远不会合并成一个分数:意见、测量和人气是不同的东西。

它能帮你做什么

我们还没有为它写通俗的介绍。下面是我们从注册中心读取到的事实。

  • 连接方式: 在你的电脑上运行
  • 传输方式: stdio
  • 分类: 数据库与数据集

安装

选择你使用的 AI 应用,然后复制设置。

安装之前

  • 基础检查:1 项中通过 1 项
  • 在你的电脑上运行,拥有你的用户账户的权限(文件、网络、应用)。
  • 注册中心没有列出需要填写的密钥。

你需要

  • PyPI已安装 Python 的 uv(用于 uvx 命令)

你用的是哪个应用?

在上方选择你的应用。我们会记住它,下次按钮会显示“安装到 …”。

打开 Claude Desktop → Settings → Developer → Edit Config,把下面的内容粘贴到 claude_desktop_config.json

{
  "mcpServers": {
    "pgtuner": {
      "command": "uvx",
      "args": [
        "pgtuner-mcp"
      ]
    }
  }
}

在终端中运行这条命令

claude mcp add pgtuner -- uvx pgtuner-mcp

在 Cursor 中打开

或者自己复制设置

粘贴到项目中的 .cursor/mcp.json,或 ~/.cursor/mcp.json

{
  "mcpServers": {
    "pgtuner": {
      "command": "uvx",
      "args": [
        "pgtuner-mcp"
      ]
    }
  }
}

浏览器会先询问是否打开应用,然后应用会显示设置并请你确认。密钥的值会留空,由你自己填写。

在 VS Code 中打开

或者自己复制设置

粘贴到项目中的 .vscode/mcp.json

{
  "servers": {
    "pgtuner": {
      "type": "stdio",
      "command": "uvx",
      "args": [
        "pgtuner-mcp"
      ]
    }
  }
}

浏览器会先询问是否打开应用,然后应用会显示设置并请你确认。密钥的值会留空,由你自己填写。

这个服务器在你的电脑上运行,而 ChatGPT 只能连接互联网上的服务器。请选择其他应用。

你的选择通过 Cookie 保存在这台设备上,无需账户。

这些设置是根据作者在注册中心的条目生成的。如果 README 的写法不同,请以 README 为准。

它能做什么

它在你的电脑上运行;安装后,工具列表会显示在你的 AI 应用中。

基础检查i

我们检查的是任何人都能看到的信息;我们没有阅读代码。不适用的检查项不计入总数。 · 检查于 2026年11月7日

  • ✓ 通过

    作者与仓库一致

    注册名称已通过 GitHub 账户 isdaniel 验证,该账户拥有此仓库

  • … 尚未检查

    仍在维护

    我们还没有从 GitHub 读取这个仓库

  • … 尚未检查

    有许可证

    我们还没有从 GitHub 读取这个仓库

  • – 不适用

    端点有响应

    它在你的电脑上运行,没有互联网端点

  • – 不适用

    使用 OAuth 登录

    在你的电脑上运行,改用本地设置

  • … 尚未检查

    工具描述中没有隐藏指令

    它在你的电脑上运行;我们只能读取互联网端点的工具列表

与“数据库与数据集”中的其他服务器比较i

  • 星标数多于此分类中其他 954 个服务器的 0%
  • 发布到注册中心的时间比此分类中其他 954 个服务器的 2% 更新
  • 基础检查结果等于或优于此分类中其他 954 个服务器的 100%

与注册中心里这个分类中所有活跃的服务器比较。只有当发布者拥有该仓库时,星标数才计入。

常见问题

PostgreSQL performance Tuner MCP Server 安全吗?

它在 1 项适用的基础检查中通过了 1 项。我们没有阅读代码。在添加密钥或令牌之前,请先看看这个服务器要求哪些权限,并使用只具备所需权限的密钥。

它需要哪些密钥或代码?

注册中心没有列出必需的密钥,不过有些服务器会在首次使用时要求你登录。

它在我的电脑上运行还是在云端?

它在你的电脑上运行。你的 AI 应用会在需要时启动它,数据不会经过作者的服务器(除非它自己调用在线服务)。

它还在维护吗?

GitHub 仓库最后更新于–,最新版本(0.5.2)于11个月前进入注册中心。

哪些应用可以使用它?

支持 MCP 的应用,例如 Claude Desktop、Claude Code、Cursor 和 VS Code。你的电脑上还需要有 Python (uv)。

有什么可以替代它?

同一分类中有:Supabase, MongoDB MCP Server, Elasticsearch MCP Server

替代选择

同一分类中其他作者的服务器,按星标数排序。

如何看卡片:★ GitHub 星标i三大支柱:评价 · 检查 · 使用情况i更新 = 最新版本发布到注册中心的时间i

Supabase

作者:supabase

MCP server for interacting with the Supabase platform

电脑或云端★ 2,993Apache-2.0昨天更新
安装

MongoDB MCP Server

作者:mongodb-js

MongoDB Model Context Protocol Server

在你的电脑上运行★ 1,157Apache-2.0前天更新
安装

MCP server for interacting with Elasticsearch

在你的电脑上运行★ 315Apache-2.014个月前更新
安装

作者的 README

打开 README

按原文从作者的仓库复制。PopNx MCP 没有审查或背书其内容。HTML、图片和脚本已被移除。链接会离开本站。

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 pg_stat_statements with detailed statistics
  • Analyze query execution plans with EXPLAIN and EXPLAIN ANALYZE
  • 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 analysis
  • Hypothetical index testing with HypoPG extension (no disk usage)
  • Find unused and duplicate indexes for cleanup
  • Estimate index sizes before creation
  • Test query plans with proposed indexes before implementing
Database Health
  • Comprehensive health scoring with multiple checks
  • Connection utilization monitoring
  • Cache hit ratio analysis (buffer and index)
  • Lock contention detection
  • Vacuum health and transaction ID wraparound monitoring
  • Replication lag monitoring
  • Background writer and checkpoint analysis
Vacuum Monitoring
  • Track long-running VACUUM and VACUUM FULL operations in real-time
  • Monitor autovacuum progress and performance
  • Identify tables that need vacuuming
  • View recent vacuum activity history
  • Analyze autovacuum configuration effectiveness
I/O Performance Analysis
  • Analyze disk read/write patterns across tables and indexes
  • Identify I/O bottlenecks and hot tables
  • Monitor buffer cache hit ratios
  • Track temporary file usage indicating work_mem issues
  • Analyze checkpoint and background writer I/O
  • PostgreSQL 16+ enhanced pg_stat_io metrics support
Configuration Analysis
  • Review PostgreSQL settings by category
  • Get recommendations for memory, checkpoint, WAL, autovacuum, and connection settings
  • Identify suboptimal configurations
MCP Prompts & Resources
  • Pre-defined prompt templates for common tuning workflows
  • Dynamic resources for table stats, index info, and health checks
  • Comprehensive documentation resources

Installation

Standard Installation (for MCP clients like Claude Desktop)
pip install pgtuner_mcp

Or using uv:

uv pip install pgtuner_mcp
Manual Installation
git clone https://github.com/isdaniel/pgtuner_mcp.git

cd pgtuner_mcp pip install -e .

Configuration

Environment Variables
VariableDescriptionRequired
DATABASE_URIPostgreSQL connection stringYes
PGTUNER_EXCLUDE_USERIDSComma-separated list of user IDs (OIDs) to exclude from monitoringNo
PGTUNER_STATEMENT_TIMEOUT_MSPer-statement timeout in ms (default 30000, 0=disable)No
PGTUNER_IDLE_TXN_TIMEOUT_MSIdle-in-txn timeout in ms (default 60000)No
PGTUNER_LOCK_TIMEOUT_MSLock timeout in ms (default 5000)No
PGTUNER_CORS_ALLOW_ORIGINSComma-separated CORS allowlist; * for allNo
PGTUNER_LINT_DISABLED_RULESComma-separated rule IDs to disable in linterNo

Connection String Format: postgresql://user:password@host:port/database

Minimal User Permissions

To run this MCP server, the PostgreSQL user requires specific permissions to query system catalogs and extensions. Below are the minimal permissions needed for different feature sets.

Basic Permissions (Required for Core Functionality)
-- Create a dedicated monitoring user

CREATE USER pgtuner_monitor WITH PASSWORD 'secure_password';

-- Grant connection to the target database GRANT CONNECT ON DATABASE your_database TO pgtuner_monitor;

-- Grant usage on schemas GRANT USAGE ON SCHEMA public TO pgtuner_monitor; GRANT USAGE ON SCHEMA pg_catalog TO pgtuner_monitor;

-- Grant SELECT on user tables and indexes (for table stats and analysis) GRANT SELECT ON ALL TABLES IN SCHEMA public TO pgtuner_monitor; ALTER DEFAULT PRIVILEGES IN SCHEMA public GRANT SELECT ON TABLES TO pgtuner_monitor;

-- Grant access to system catalog views (read-only) GRANT pg_read_all_stats TO pgtuner_monitor; -- PostgreSQL 10+

Extension-Specific Permissions

For pgstattuple (Bloat Detection):

-- Create the extension (requires superuser or appropriate privileges)

CREATE EXTENSION IF NOT EXISTS pgstattuple;

-- Grant execution on pgstattuple functions GRANT EXECUTE ON FUNCTION pgstattuple(regclass) TO pgtuner_monitor; GRANT EXECUTE ON FUNCTION pgstattuple_approx(regclass) TO pgtuner_monitor; GRANT EXECUTE ON FUNCTION pgstatindex(regclass) TO pgtuner_monitor; GRANT EXECUTE ON FUNCTION pgstatginindex(regclass) TO pgtuner_monitor; GRANT EXECUTE ON FUNCTION pgstathashindex(regclass) TO pgtuner_monitor;

-- Alternative: Use pg_stat_scan_tables role (PostgreSQL 14+) GRANT pg_stat_scan_tables TO pgtuner_monitor;

For HypoPG (Hypothetical Index Testing):

-- Create the extension (requires superuser or appropriate privileges)

CREATE EXTENSION IF NOT EXISTS hypopg;

-- Grant SELECT on HypoPG views GRANT SELECT ON hypopg_list_indexes TO pgtuner_monitor; GRANT SELECT ON hypopg_hidden_indexes TO pgtuner_monitor;

-- Grant execution on HypoPG functions with proper signatures GRANT EXECUTE ON FUNCTION hypopg_create_index(text) TO pgtuner_monitor; GRANT EXECUTE ON FUNCTION hypopg_drop_index(oid) TO pgtuner_monitor; GRANT EXECUTE ON FUNCTION hypopg_reset() TO pgtuner_monitor; GRANT EXECUTE ON FUNCTION hypopg_hide_index(oid) TO pgtuner_monitor; GRANT EXECUTE ON FUNCTION hypopg_unhide_index(oid) TO pgtuner_monitor; GRANT EXECUTE ON FUNCTION hypopg_relation_size(oid) TO pgtuner_monitor;

-- Note: HypoPG operations are session-scoped and don't affect the actual database

Complete Setup Script
-- 1. Create the monitoring user

CREATE USER pgtuner_monitor WITH PASSWORD 'secure_password';

-- 2. Grant connection and schema access GRANT CONNECT ON DATABASE your_database TO pgtuner_monitor; GRANT USAGE ON SCHEMA public TO pgtuner_monitor;

-- 3. Grant read access to user tables GRANT SELECT ON ALL TABLES IN SCHEMA public TO pgtuner_monitor; ALTER DEFAULT PRIVILEGES IN SCHEMA public GRANT SELECT ON TABLES TO pgtuner_monitor;

-- 4. Grant system statistics access GRANT pg_read_all_stats TO pgtuner_monitor; -- PostgreSQL 10+

-- Grant access to pg_stat_statements views explicitly GRANT SELECT ON pg_stat_statements TO pgtuner_monitor; GRANT SELECT ON pg_stat_statements_info TO pgtuner_monitor;

-- 5. Install and grant access to extensions (as superuser) -- pg_stat_statements (required) CREATE EXTENSION IF NOT EXISTS pg_stat_statements;

-- pgstattuple (for bloat detection) CREATE EXTENSION IF NOT EXISTS pgstattuple; GRANT pg_stat_scan_tables TO pgtuner_monitor; -- PostgreSQL 14+ -- OR grant individual functions: -- GRANT EXECUTE ON FUNCTION pgstattuple(regclass) TO pgtuner_monitor; -- GRANT EXECUTE ON FUNCTION pgstattuple_approx(regclass) TO pgtuner_monitor; -- GRANT EXECUTE ON FUNCTION pgstatindex(regclass) TO pgtuner_monitor;

-- hypopg (for hypothetical index testing) CREATE EXTENSION IF NOT EXISTS hypopg; GRANT SELECT ON hypopg_list_indexes TO pgtuner_monitor; GRANT SELECT ON hypopg_hidden_indexes TO pgtuner_monitor; GRANT EXECUTE ON FUNCTION hypopg_create_index(text) TO pgtuner_monitor; GRANT EXECUTE ON FUNCTION hypopg_drop_index(oid) TO pgtuner_monitor; GRANT EXECUTE ON FUNCTION hypopg_reset() TO pgtuner_monitor; GRANT EXECUTE ON FUNCTION hypopg_hide_index(oid) TO pgtuner_monitor; GRANT EXECUTE ON FUNCTION hypopg_unhide_index(oid) TO pgtuner_monitor; GRANT EXECUTE ON FUNCTION hypopg_relation_size(oid) TO pgtuner_monitor;

-- 6. Verify permissions SET ROLE pgtuner_monitor; SELECT * FROM pg_stat_statements LIMIT 1; SELECT * FROM pg_stat_activity WHERE pid = pg_backend_pid(); SELECT * FROM pgstattuple('pg_class') LIMIT 1; SELECT * FROM hypopg_list_indexes(); RESET ROLE;

Excluding Specific Users from Monitoring

You can exclude specific PostgreSQL users from being included in query analysis and monitoring results. This is useful for filtering out:

  • Monitoring or replication users
  • System accounts
  • Internal application service accounts

Set the PGTUNER_EXCLUDE_USERIDS environment variable with a comma-separated list of user OIDs:

# Exclude user IDs 16384, 16385, and 16386

export PGTUNER_EXCLUDE_USERIDS="16384,16385,16386"

To find the OID for a specific PostgreSQL user:

SELECT usesysid, usename FROM pg_user WHERE usename = 'monitoring_user';

When configured, the following queries are filtered:

  • pg_stat_activity queries (filters on usesysid column)
  • pg_stat_statements queries (filters on userid column)

This affects tools like get_slow_queries, get_active_queries, analyze_wait_events, check_database_health, and get_index_recommendations.

MCP Client Configuration

Add to your cline_mcp_settings.json or Claude Desktop config:

{

"mcpServers": { "pgtuner_mcp": { "command": "python", "args": ["-m", "pgtuner_mcp"], "env": { "DATABASE_URI": "postgresql://user:password@localhost:5432/mydb" }, "disabled": false, "autoApprove": [] } } }

Or Streamable HTTP Mode

{

"mcpServers": { "pgtuner_mcp": { "type": "http", "url": "http://localhost:8080/mcp" } } }

Security Hardening

pgtuner_mcp HTTP modes (sse, streamable-http) do not include authentication. They are safe for local-only use; for any networked deployment you MUST front them with a reverse proxy that handles auth and TLS.

Connection-level safeguards (built in)

Every connection started by the pool receives session-level guards via libpq options at handshake time:

EnvDefaultEffect
PGTUNER_STATEMENT_TIMEOUT_MS30000Per-statement cap. Caps analyze_query EXPLAIN ANALYZE. Set 0 to disable.
PGTUNER_IDLE_TXN_TIMEOUT_MS60000Kills orphaned transactions. Set 0 to disable.
PGTUNER_LOCK_TIMEOUT_MS5000Caps the tuning user's wait on application locks.

Belt-and-braces — also pin on the monitoring role:

ALTER ROLE pgtuner_monitor SET statement_timeout = '30s';

ALTER ROLE pgtuner_monitor SET idle_in_transaction_session_timeout = '60s';

CORS
EnvDefaultEffect
PGTUNER_CORS_ALLOW_ORIGINS(default: any localhost/127.0.0.1 port, http or https)Comma-separated allowlist. Setting it switches off the localhost regex default and uses literal-origin matching. Use * to allow all (forces allow_credentials=false).
Recommended reverse-proxy template (Caddy)
mcp.example.com {

basicauth { teamuser } reverse_proxy localhost:8080 }

What is NOT included
  • No Bearer-token / API-key auth (operator concern — see reverse proxy)
  • No rate limiting (operator concern)
  • No in-process TLS (use the reverse proxy)
  • No per-client tool allowlist

Server Modes

1. Standard MCP Mode (Default)
# Default mode (stdio)

python -m pgtuner_mcp

Explicitly specify stdio mode

python -m pgtuner_mcp --mode stdio

2. HTTP SSE Mode (Legacy Web Applications

只显示了开头部分;其余内容请在仓库中阅读

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