postgres-mcp-query-tool
An MCP server that gives an AI agent scoped, safe access to your Postgres databases with per-connection access control, row caps, timeouts, and defense-in-depth read-only enforcement.
README
postgres-mcp-query-tool
An MCP server that gives an AI agent scoped, safe access to your Postgres databases. Configure as many named connections as you like — each with its own access mode, row cap, and timeout — so the same agent can have full read/write on local and strict read-only on prod without ever confusing the two.
Ask "query prod for the latest user join time" and the agent sees that
prodis read-only, routes aSELECTthrough the read tool, and physically cannot write to it.
Inspired by PlanetScale's MCP server query executor, reworked for plain Postgres with per-connection access control.
Features
- Multiple named connections — define
local,prod,staging, etc. in one config. - Per-connection access mode —
read_onlyorread_write. Read-only connections refuse every write. - Defense-in-depth read-only enforcement — two independent layers:
- A SQL validator rejects writes up front with a clear message.
- Reads run inside a
BEGIN READ ONLYtransaction, so Postgres itself rejects writes even if the validator is ever fooled. (For a third layer, point the connection at a Postgres role with no write grants.)
- Hard row caps — per-connection
max_rows. Exceeding it is a clean error, never a silent truncation. - Configurable timeouts — per-connection
timeout_seconds(default 30s) enforced viastatement_timeout, plus a client-side backstop that cancels a wedged query. Long queries never hang. - Two-phase confirmation for destructive writes — DDL (
CREATE/DROP/ALTER/…) andDELETEare refused until the agent re-issues them withconfirm_destructive: trueafter you approve the exact statement. - Dangerous statements blocked outright —
TRUNCATE, andDELETE/UPDATEwith noWHEREor an always-trueWHERE(e.g.WHERE 1=1). - Credentials stay secret —
list_connectionsnever reveals URLs; the server never logs SQL or rows. - Inline or file config — pass config as a file path or drop the whole JSON straight into the MCP definition. No separate file required.
Tools
| Tool | Purpose |
|---|---|
list_connections |
Lists each connection's name, access, max_rows, timeout_seconds. No URLs or credentials. The agent calls this first to learn which connections accept writes. |
execute_read_query |
Runs a read-only query (SELECT, WITH, SHOW, EXPLAIN, VALUES, TABLE) inside a READ ONLY transaction. Streams up to max_rows + 1 via a server-side cursor; the extra row triggers row_limit_exceeded. |
execute_write_query |
Runs a write against a read_write connection. Refused on read_only. Enforces the destructive-statement and confirmation rules above. |
Install
npm install
npm run build
Configure
Each connection takes:
| Field | Required | Notes |
|---|---|---|
url or url_env |
one of | A literal Postgres URL, or the name of an env var holding it. Use url_env for production secrets. |
access |
yes | "read_only" or "read_write". |
max_rows |
no | Hard cap on returned rows. Default 1000. |
timeout_seconds |
no | Per-query timeout. Default 30. |
default_schema |
no | Schema (or comma-separated list) set as the search_path for every query, so unqualified table names resolve without a prefix — e.g. "public". Each name must be a plain SQL identifier. |
Example (config.example.json):
{
"connections": {
"local": {
"url": "postgres://postgres:postgres@localhost:5432/postgres",
"access": "read_write",
"max_rows": 10000,
"timeout_seconds": 30
},
"prod": {
"url_env": "PROD_DB_URL",
"access": "read_only",
"max_rows": 1000,
"timeout_seconds": 30,
"default_schema": "public"
}
}
}
Wire into your MCP client
Add to your MCP client config (e.g. ~/.claude.json under mcpServers). There are two ways to supply the config.
Option A — inline config (no separate file)
Drop the whole config into the POSTGRES_MCP_CONFIG env var. Nothing else on disk:
{
"mcpServers": {
"postgres-query": {
"command": "node",
"args": ["/absolute/path/to/postgres-mcp-query-tool/dist/index.js"],
"env": {
"PROD_DB_URL": "postgres://reader:secret@prod-host:5432/app",
"POSTGRES_MCP_CONFIG": "{\"connections\":{\"local\":{\"url\":\"postgres://postgres:postgres@localhost:5432/postgres\",\"access\":\"read_write\",\"max_rows\":10000},\"prod\":{\"url_env\":\"PROD_DB_URL\",\"access\":\"read_only\",\"max_rows\":1000}}}"
}
}
}
}
You can also pass it on the command line with --config-json '<json>'.
Option B — config file
{
"mcpServers": {
"postgres-query": {
"command": "node",
"args": [
"/absolute/path/to/postgres-mcp-query-tool/dist/index.js",
"--config",
"/absolute/path/to/config.json"
],
"env": {
"PROD_DB_URL": "postgres://reader:secret@prod-host:5432/app"
}
}
}
}
Config source precedence (first match wins): --config-json → POSTGRES_MCP_CONFIG env var → --config <path> → ./config.json.
Run standalone
node dist/index.js --config /absolute/path/to/config.json
# or
POSTGRES_MCP_CONFIG='{"connections":{...}}' node dist/index.js
Error shape
Tool errors come back with isError: true and a JSON body:
{ "error": "row_limit_exceeded", "message": "...", "details": { "max_rows": 1000, "connection": "prod" } }
Codes: row_limit_exceeded, query_timeout, validation_failed, needs_confirmation, read_only_connection, unknown_connection, postgres_error.
Security notes
- Keep production credentials out of the config file. Use
url_env(or the inlinePOSTGRES_MCP_CONFIGenv var) so secrets live in the client's environment, not in a checked-in file. - Read-only enforcement is real defense-in-depth. Even if the validator is bypassed,
BEGIN READ ONLYmakes Postgres reject the write. For the strongest guarantee, also connect with a Postgres role that has no write privileges. - The server never logs SQL or returned rows — only startup/shutdown diagnostics on stderr.
Acknowledgements
Inspired by PlanetScale's MCP server and its query executor.
推荐服务器
Baidu Map
百度地图核心API现已全面兼容MCP协议,是国内首家兼容MCP协议的地图服务商。
Playwright MCP Server
一个模型上下文协议服务器,它使大型语言模型能够通过结构化的可访问性快照与网页进行交互,而无需视觉模型或屏幕截图。
Magic Component Platform (MCP)
一个由人工智能驱动的工具,可以从自然语言描述生成现代化的用户界面组件,并与流行的集成开发环境(IDE)集成,从而简化用户界面开发流程。
Audiense Insights MCP Server
通过模型上下文协议启用与 Audiense Insights 账户的交互,从而促进营销洞察和受众数据的提取和分析,包括人口统计信息、行为和影响者互动。
VeyraX
一个单一的 MCP 工具,连接你所有喜爱的工具:Gmail、日历以及其他 40 多个工具。
graphlit-mcp-server
模型上下文协议 (MCP) 服务器实现了 MCP 客户端与 Graphlit 服务之间的集成。 除了网络爬取之外,还可以将任何内容(从 Slack 到 Gmail 再到播客订阅源)导入到 Graphlit 项目中,然后从 MCP 客户端检索相关内容。
Kagi MCP Server
一个 MCP 服务器,集成了 Kagi 搜索功能和 Claude AI,使 Claude 能够在回答需要最新信息的问题时执行实时网络搜索。
e2b-mcp-server
使用 MCP 通过 e2b 运行代码。
Neon MCP Server
用于与 Neon 管理 API 和数据库交互的 MCP 服务器
Exa MCP Server
模型上下文协议(MCP)服务器允许像 Claude 这样的 AI 助手使用 Exa AI 搜索 API 进行网络搜索。这种设置允许 AI 模型以安全和受控的方式获取实时的网络信息。