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作者提供的说明(英文原文)
Safety-first Database Guardrail & Sandboxing MCP Server for AI Coding Agents
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。
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。
选择你使用的 AI 应用,然后复制设置。
DBSHIELD_DIALECT, DBSHIELD_DB_URL你需要
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": {
"dbshield": {
"command": "npx",
"args": [
"-y",
"@ritualdev-lab/dbshield"
],
"env": {
"DBSHIELD_DIALECT": "your-value",
"DBSHIELD_DB_URL": "your-value"
}
}
}
}在终端中运行这条命令
claude mcp add dbshield --env DBSHIELD_DIALECT=your-value --env DBSHIELD_DB_URL=your-value -- npx -y @ritualdev-lab/dbshield运行前请先填写空着的值。
粘贴到项目中的 .cursor/mcp.json,或 ~/.cursor/mcp.json
{
"mcpServers": {
"dbshield": {
"command": "npx",
"args": [
"-y",
"@ritualdev-lab/dbshield"
],
"env": {
"DBSHIELD_DIALECT": "your-value",
"DBSHIELD_DB_URL": "your-value"
}
}
}
}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。
粘贴到项目中的 .vscode/mcp.json
{
"servers": {
"dbshield": {
"type": "stdio",
"command": "npx",
"args": [
"-y",
"@ritualdev-lab/dbshield"
],
"env": {
"DBSHIELD_DIALECT": "your-value",
"DBSHIELD_DB_URL": "your-value"
}
}
}
}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。
DBSHIELD_DIALECT envDBSHIELD_DB_URL env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。
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
注册名称已通过 GitHub 账户 RitualDev-Lab 验证,该账户拥有此仓库
我们还没有从 GitHub 读取这个仓库
我们还没有从 GitHub 读取这个仓库
它在你的电脑上运行,没有互联网端点
在你的电脑上运行,改用本地设置
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。
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。
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)。
GitHub 仓库最后更新于–,最新版本(0.2.1)于今天进入注册中心。
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 Node.js。
同一分类中有:GitHub, Desktop Commander, Cloudflare MCP
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
Connect AI assistants to GitHub - manage repos, issues, PRs, and workflows through natural language.
MCP server for terminal commands, file operations, and process management
Cloudflare MCP servers
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。
The Safety-First Database Guardrail & Sandboxing MCP Server for AI Coding Agents
*Protect your databases from accidental bulk deletes, catastrophic drops, locks, and PII leaks when paired with Cursor, Claude Desktop, Antigravity, or Windsurf.*
When autonomous AI coding agents interact directly with databases:
WHERE clause turns a targeted fix into an unrecoverable DELETE FROM users; or UPDATE orders SET status = 'cancelled';.DROP TABLE, TRUNCATE) instead of running non-destructive migrations.LIMIT clauses exhaust connection pools and lock production tables.DBShield sits between your AI Agent and your Database as an intelligent, zero-overhead safety firewall.
DBShield is an open-source database guardrail, virtual schema masking proxy, and MCP server designed to protect relational databases (PostgreSQL, SQLite, MySQL) from accidental bulk mutations, schema corruption, and PII leaks when queried by autonomous AI coding agents.
DBShield operates with a Two-Phase Distributed Dry-Run Engine:
UPDATE, DELETE, DROP), DBShield intercepts the query and executes it in an isolated transaction rollback block (BEGIN ... ROLLBACK).When AI coding agents run introspection queries like SELECT * FROM information_schema.tables, DBShield intercepts the wire protocol and rewrites catalog responses. Sensitive internal tables (credentials, sessions, api_keys) and restricted columns are hidden entirely from the agent's view.
WHERE 1=1), and unconstrained deletes.BEGIN ... ROLLBACK). Previews exact row impacts without altering the real database state.STRICT (read-only / 1-row limits), BALANCED (production guardrails), or PERMISSIVE (custom rules).credentials, internal_audit, admin_*) from information_schema / catalog introspection and masks restricted columns from agent context.CREATE INDEX [CONCURRENTLY] DDL statements with cost regression alerting.:3100) streaming live agent queries, risk scores, and PII redactions, featuring 1-click "Approve / Reject" buttons for sensitive mutations.Run the auto-installer to configure your local Claude Desktop:
npx @ritualdev-lab/dbshield install-claude
Or manually add to claude_desktop_config.json:
{
"mcpServers": { "dbshield": { "command": "npx", "args": ["-y", "@ritualdev-lab/dbshield", "start"] } } }
Run inside your workspace to create or update .cursor/mcp.json:
npx @ritualdev-lab/dbshield install-cursor
Run DBShield as a transparent TCP wire proxy on :5433 (or :5432). Any ORM (Prisma, Drizzle, SQLAlchemy), AI agent, or CLI connects directly:
npx @ritualdev-lab/dbshield proxy --port 5433 --upstream-host 127.0.0.1 --upstream-port 5432
In your application or .env:
DATABASE_URL="postgres://user:password@127.0.0.1:5433/production_db"
# Check status and inspect connected database
npx @ritualdev-lab/dbshield status
npx @ritualdev-lab/dbshield init
Start the real-time query approval web interface (:3100):
npx @ritualdev-lab/dbshield dashboard --port 3100
Open http://localhost:3100 to inspect live agent queries, risk scores, PII redactions, and 1-click "Approve / Reject" buttons for sensitive mutations.
dbshield.config.json){
"$schema": "https://raw.githubusercontent.com/RitualDev-Lab/DBShield/main/schema.json", "dialect": "sqlite", "storagePath": "./dev.db", "safetyTier": "BALANCED", "maxRowsPerMutation": 50, "allowDestructiveDDL": false, "enablePiiMasking": true, "customPiiColumns": ["token", "ssn", "secret_key"] }
| Tier | Mutation Limit | Destructive DDL | Dry-Run Required | PII Masking | Best For |
|---|---|---|---|---|---|
STRICT | Max 1 row | ❌ Blocked | ✅ Always Required | 🔒 Enforced | Production, Staging |
BALANCED | Max 50 rows | ❌ Blocked | ✅ On Bulk Writes | 🔒 Enforced | Local Dev, Team Collaboration |
PERMISSIVE | Max 500 rows | ⚠️ Warned | Optional | Optional | Sandbox Benchmarks |
| Tool | Description |
|---|---|
db_status | Inspect gateway connectivity, active safety tier, cost gate, and database statistics. |
db_describe_schema | Safe introspection of tables, columns, constraints, and relations. |
db_query | Safe read and mutation query execution with automatic PII redaction, cost gate, and DDL checks. |
db_dry_run | Test mutation inside an auto-rollback transaction with row delta preview and intent verification. |
db_commit | Execute verified mutation accompanied by cryptographic authorization token. |
db_explain_query | Analyze query execution plans, detect unindexed full-table scans, and receive index hints. |
db_audit_log | Retrieve compliance query audit trail, blocked operations, and risk scores. |
db_validate_migration | Validate DDL migration scripts for lock hazards and generate zero-downtime execution recipes. |
db_check_schema_drift | Audit live database foreign keys for missing indexes and detect structural schema drift. |
db_check_semantic_intent | Check stated English user intent against SQL AST target columns to stop unauthorized privilege/financial mutations. |
db_distributed_dry_run | Simulate atomic mutations across multi-store environments (Postgres, SQLite, Redis) and receive unified token. |
db_distributed_commit | Execute two-phase distributed commit across multi-store environments with cryptographic tamper verification. |
DBShield enforces rigorous runtime guarantees across the SQL lifecycle. Guarantees are verified transactionally, ensuring mutations never exceed approved scope even if database state drifts:
| SQL Operation | Classification Mechanism | Static AST Guardrail | Execution Boundary & Rollback | Data Masking & Privacy |
|---|---|---|---|---|
| SELECT | Prepared-statement column reflection (stmt.columns()) | Detects missing LIMIT in STRICT tier; warns if limit exceeds server cap | Streaming iterator (stmt.iterate()) caps memory; truncates at maxRowsPerRead | Zero-leak dynamic PII masking on result rows |
| WITH ... (CTE) | Prepared-statement column reflection & recursive AST analysis | Recursively extracts underlying mutated tables & verifies read safety | Streaming iterator (stmt.iterate()) with hard read ceiling | Zero-leak dynamic PII masking on result rows |
| UPDATE (Targeted) | AST evaluation & tautology checker (evaluateWhereClause) | Blocks unconstrained updates, WHERE 1=1, WHERE true, tautological OR | Atomic transaction; rolls back if affected rows exceed maxMutationRows | Literal masking in logs & database errors |
| DELETE (Targeted) | AST evaluation & tautology checker (evaluateWhereClause) | Blocks unconstrained deletes, WHERE 1=1, tautological OR | Atomic transaction; rolls back if affected rows exceed maxMutationRows | Literal masking in logs & database errors |
| INSERT | AST evaluation & dialect parser | Pre-flight dry run simulation required under STRICT tier | Atomic transaction; rolls back if inserted rows exceed maxMutationRows | Redacts sensitive literals in (cols) VALUES (vals) |
| DROP TABLE / TRUNCATE | AST statement opco
只显示了开头部分;其余内容请在仓库中阅读