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Offline PostgreSQL query, migration and EXPLAIN diagnostics for AI agents.
About
Offline PostgreSQL query, migration and EXPLAIN diagnostics for AI agents.
Security Report
MCP Database Doctor is an offline PostgreSQL diagnostics server that performs static analysis on supplied SQL, migrations, and EXPLAIN JSON without database credentials or query execution. The main items to review are the optional hosted HTTP mode, which forwards bearer keys to a configurable control plane and reserves quota before analysis, and the absence of src/server.ts, the stdio entry point, from the reviewed code. No malicious patterns, shell execution, or hardcoded secrets were found. Supply chain analysis found 3 known vulnerabilities in dependencies (1 critical, 1 high severity). Package verification found 1 issue.
7 files analyzed · 10 issues found
Security scores are indicators to help you make informed decisions, not guarantees. Always review permissions before connecting any MCP server.
How to Install
Add this to your MCP configuration file:
{
"mcpServers": {
"io-github-petrovicistefan-mcp-database-doctor": {
"args": [
"-y",
"mcp-database-doctor"
],
"command": "npx"
}
}
}Documentation
View on GitHubFrom the project's GitHub README.
MCP Database Doctor
Offline PostgreSQL diagnostics for AI coding agents. Review SQL, risky migrations, candidate indexes and supplied EXPLAIN JSON plans without database credentials or executing statements.
Status: 0.1.0 MVP. Static rules are heuristic: no_rules_triggered does not mean safe, performant or valid PostgreSQL. No telemetry, remote analysis, credentials or automatic fixes.
Install in your AI client
Works with any MCP client over stdio; no account or API key needed for the local server.
Claude Code
claude mcp add database-doctor -- npx -y mcp-database-doctor
Codex CLI
codex mcp add database-doctor -- npx -y mcp-database-doctor
Claude Desktop, Cursor, Windsurf, Cline, Gemini CLI — add to the client's MCP config (claude_desktop_config.json, ~/.cursor/mcp.json, ~/.codeium/windsurf/mcp_config.json, Cline MCP settings, ~/.gemini/settings.json):
{
"mcpServers": {
"database-doctor": {
"command": "npx",
"args": [
"-y",
"mcp-database-doctor"
]
}
}
}
VS Code / GitHub Copilot — .vscode/mcp.json:
{
"servers": {
"database-doctor": {
"type": "stdio",
"command": "npx",
"args": [
"-y",
"mcp-database-doctor"
]
}
}
}
Zed — settings.json:
{
"context_servers": {
"database-doctor": {
"command": "npx",
"args": [
"-y",
"mcp-database-doctor"
]
}
}
}
Tools
| Tool | Input | Output |
|---|---|---|
analyze_query | sql | SQL anti-patterns with severity and recommendations |
check_migration | sql | Destructive DDL, index locking, constraints, rewrite and transaction risks |
suggest_indexes | sql, optional existingIndexes: [{table, columns}] | Conservative DDL candidates; not applied |
explain_plan | plan as a JSON string | Large sequential scans, row estimate errors, sort spills, high loops |
health_report | optional queries, migrations, plans arrays; at least one required | Aggregate review of supplied artifacts only |
Reports include code, severity, message, recommendation, and statement numbers for SQL. No synthetic database health score.
Development
Node.js >=22.18 (Node 24 recommended).
npm install
npm run check
npm test
npm run build
npm run test:integration
npm pack --dry-run
Core tests run without installed dependencies using Node's native TypeScript stripping. Vitest integration tests exercise the official MCP client over stdio after build. CI runs both. Generate and commit a package-lock.json after the first successful dependency installation; current checkout does not include one because npm access was blocked in the implementation environment.
Claude Code / Cursor
Build locally first. Copy examples/mcp.json into your client's MCP configuration and replace the absolute checkout path:
{
"mcpServers": {
"database-doctor": {
"command": "node",
"args": ["/absolute/path/mcp-database-doctor/dist/server.js"]
}
}
}
Claude Code CLI alternative:
claude mcp add database-doctor -- node /absolute/path/mcp-database-doctor/dist/server.js
Launch with npx -y mcp-database-doctor.
Suggested agent instruction: "Before proposing database changes, call check_migration. Review slow queries with analyze_query and supplied EXPLAIN JSON. Treat index DDL as candidates requiring workload validation."
Examples
check_migration({"sql":"BEGIN; CREATE INDEX CONCURRENTLY ON users(email); COMMIT;"}) identifies an invalid transaction context.
analyze_query({"sql":"SELECT * FROM users OFFSET 50000"}) flags projection and deep pagination.
explain_plan({"plan":"[{\"Plan\":{\"Node Type\":\"Seq Scan\",\"Plan Rows\":20000}}]"}) flags a scan for review; it does not claim an index is necessarily better.
For a real database, obtain plans yourself on a safe test environment: EXPLAIN (FORMAT JSON) SELECT .... EXPLAIN ANALYZE executes the statement; this server never runs it.
Limits and interpretation
- PostgreSQL-first, not a full SQL parser. Comments and string/dollar literals are masked. Quoted identifiers are masked to avoid keyword confusion.
- SQL inside stored procedures, DO blocks and dynamic strings is not analyzed. Complex CTEs, nested scopes, aliases, quoted/schema names and unusual DDL can produce false positives or missed findings.
- Index inference intentionally supports one unquoted table without joins/subqueries. No schema metadata, statistics, foreign-key index analysis or composite-index optimization. Existing indexes only suppress candidates when their supplied leading column matches; partial/expression indexes need manual review.
- Migration checks assume the supplied script defines transaction boundaries. If a migration framework wraps scripts externally, provide its BEGIN/COMMIT context when checking concurrent indexes.
- 100000 characters per SQL, 1 MB per plan string, 100 artifacts per report, 10000 plan nodes. These are analysis limits, not a substitute for host transport limits.
- Findings are review prompts. Absence of a finding is not authorization to run a migration.
Hosted path (quotas via control plane)
Local MCP stays free and offline. Quotas apply only on a hosted HTTP process that reserves units on mcp-control-plane before analysis. Build first (npm run build), then:
cp .env.example .env # set CONTROL_PLANE_URL
npm run start:hosted # default 127.0.0.1:3103
| Method | Path | Body |
|---|---|---|
| GET | /health | Liveness |
| POST | /v1/analyze-query | { "requestId", "sql" } |
| POST | /v1/check-migration | { "requestId", "sql" } |
| POST | /v1/suggest-indexes | { "requestId", "sql", "existingIndexes"? } |
| POST | /v1/explain-plan | { "requestId", "plan" } |
| POST | /v1/health-report | { "requestId", "queries"?, "migrations"?, "plans"? } |
Requires Authorization: Bearer mcp_…. SQL and plans stay on the hosted host; control-plane sees only product, requestId, and units. No database credentials are accepted.
Commercial roadmap
Free: local query/migration/plan analysis. Pro later: history, before/after comparisons, CI policies and advanced recommendations. Team later: shared policies and centralized reports. Hosted quotas use the control-plane path above; local counters are not used for paid enforcement.
Validation status
- 53 core tests passed in the implementation environment.
- Typecheck/build/MCP stdio integration: configured, not run locally (npm registry returned HTTP 403).
- Real PostgreSQL and two actual AI hosts: pending; configuration files do not constitute host integration validation.
References
- https://ts.sdk.modelcontextprotocol.io/server
- https://www.postgresql.org/docs/current/sql-createindex.html
- https://www.postgresql.org/docs/current/using-explain.html
MIT license.
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