PostgreSQL MCP Server by agentskillexchange/skills
npx skills add https://github.com/agentskillexchange/skills --skill 'PostgreSQL MCP Server'通过 MCP 为智能体提供 PostgreSQL 数据访问与查询能力。
PostgreSQL MCP 服务器 围绕 PostgreSQL 关系型数据库构建。它为智能体提供了一种比单行命令包装器更技术化、更可靠的工具使用方式,利用了 SQL、pg_stat_statements、EXPLAIN ANALYZE、锁、索引、扩展等稳定接口,并保留了实际任务中至关重要的操作上下文。
当智能体需要将自然语言请求转换为具体的 PostgreSQL 级别查询、安全地执行它们,然后用操作术语解释结果而非返回原始输出时,此技能尤其有用。其原始用例很明确:通过 MCP 为智能体提供 PostgreSQL 数据访问与查询能力。实现通常依赖于 SQL、pg_stat_statements、EXPLAIN ANALYZE、锁、索引、扩展,配置则通过环境变量、连接字符串、服务令牌或根据上游平台的工作区配置来传递。
直接访问 SQL、pg_stat_statements、EXPLAIN ANALYZE、锁、索引、扩展,而非通过抓取用户界面,这使得运行过程更易于审计和重试。
支持结构化的输入和输出,以便其他工具、智能体或 CI 步骤可以消费其结果。
可以根据技能格式,将其集成到 cron 作业、webhook 处理器、MCP 传输或本地 CLI 工作流中。
适用于更广泛的集成点,例如查询分析、诊断、数据仓库和应用程序后端。
由于这是作为 MCP 技能暴露的,工具接口专为智能体安全、结构化的调用而设计,而非自由形式的 shell 使用。这意味着模型可以检查模式、调用一组有限的操作,并在较长的工作流中保持上下文,而无需在每个步骤上重新实现凭据或连接逻辑。关键的集成点包括查询分析、诊断、数据仓库和应用程序后端。在真实环境中,这通常意味着通过环境变量或应用配置传递凭据,遵守速率限制和权限范围,并返回可以附加到工单、拉取请求、仪表板或后续自动化的结构化工件。
npx skills add agentskillexchange/skills --skill postgresql-mcp-server
npx skills add agentskillexchange/skills --skill postgresql-mcp-server -a claude-code
npx skills add agentskillexchange/skills --skill postgresql-mcp-server -a cursor
广告位招租
在这里展示您的产品或服务
触达数万 AI 开发者,精准高效
npx skills add agentskillexchange/skills --skill postgresql-mcp-server -a codex
clawhub install postgresql-mcp-server
每周安装数
–
代码仓库
GitHub 星标数
1
首次出现时间
–
安全审计
Agent access to PostgreSQL data and queries through MCP.
PostgreSQL MCP Server is built around PostgreSQL relational database. It gives an agent a more technical and reliable way to work with the tool than a thin one-line wrapper, using stable interfaces like SQL, pg_stat_statements, EXPLAIN ANALYZE, locks, indexes, extensions and preserving the operational context that matters for real tasks.
The skill is especially useful when an agent needs to translate a natural-language request into concrete postgresql-level queries, run them safely, and then explain the result in operational terms rather than returning raw output. The original use case is clear: Agent access to PostgreSQL data and queries through MCP. The implementation typically relies on SQL, pg_stat_statements, EXPLAIN ANALYZE, locks, indexes, extensions, with configuration passed through environment variables, connection strings, service tokens, or workspace config depending on the upstream platform.
Accesses SQL, pg_stat_statements, EXPLAIN ANALYZE, locks, indexes, extensions instead of scraping a UI, which makes runs easier to audit and retry.
Supports structured inputs and outputs so another tool, agent, or CI step can consume the result.
Can be wired into cron jobs, webhook handlers, MCP transports, or local CLI workflows depending on the skill format.
Fits into broader integration points such as query analysis, diagnostics, warehouses, and application backends.
Because this is exposed as an MCP skill, the tool surface is designed for agent-safe, structured calls instead of free-form shell usage. That means models can inspect schemas, call a narrow set of operations, and keep context across a longer workflow without re-implementing credentials or connection logic on every step. Key integration points include query analysis, diagnostics, warehouses, and application backends. In a real environment that usually means passing credentials through env vars or app config, respecting rate limits and permission scopes, and returning structured artifacts that can be attached to tickets, pull requests, dashboards, or follow-up automations.
npx skills add agentskillexchange/skills --skill postgresql-mcp-server
npx skills add agentskillexchange/skills --skill postgresql-mcp-server -a claude-code
npx skills add agentskillexchange/skills --skill postgresql-mcp-server -a cursor
npx skills add agentskillexchange/skills --skill postgresql-mcp-server -a codex
clawhub install postgresql-mcp-server
Weekly Installs
–
Repository
GitHub Stars
1
First Seen
–
Security Audits
AI Elements:基于shadcn/ui的AI原生应用组件库,快速构建对话界面
60,400 周安装