Power your agent
คำสั่งของผู้เผยแพร่เอง ไม่ใช่เอนด์พอยต์ของ PlugMCP
Host a copy with our keys and logs.
npx -y [email protected]Claude Code ไม่มีลิงก์ติดตั้งสำหรับคำสั่งแบบโลคัล ให้คัดลอกคำสั่งด้านล่างแล้วรันในเทอร์มินัล
claude mcp add io.github.madia333-lintbase-mcp -- npx -y lintbase-mcp@0.1.3รันในเทอร์มินัล
{ "mcpServers": { "io.github.madia333-lintbase-mcp": { "command": "npx", "args": [ "-y", "[email protected]" ] } }}claude_desktop_config.json
URL แบบรีโมตหรือคำสั่งบนเครื่องของคุณ? การติดตั้งสองแบบต่างกันอย่างไร
รันบน PlugMCP
A new server you create. It is not this listing's official endpoint. Use the publisher install when you want their URL and their credentials.
เปิดจากผู้เผยแพร่
Ground Truth for AI Coding Agents. LintBase gives AI agents real-time knowledge of your database schema, security rules, and architecture so they stop hallucinating your codebase.
npx lintbase export-context firestore --key ./service-account.json
Real-time Firestore schema context for AI coding agents. Stop hallucinating field names.
Developers are constantly feeding context files to AI tools like Cursor, Windsurf, Copilot Workspace, and Claude Code. If your agent doesn't understand your real database schema, it writes code that fails in production.
LintBase acts as the bridge. It connects directly to your database, reads the ground truth of your live documents, and generates structured context optimized for AI.
lintbase check against schema snapshots.Because in document databases, the code lies. The real schema is whatever your live documents actually contain, and that drifts away from the code with every half-finished migration, every renamed field, and every previous AI session that wrote in a hurry. An agent inferring the schema from TypeScript interfaces writes plausible queries against a database that no longer exists. The failure is silent: empty results, undefined values, a new field variant living alongside the old one. LintBase reads the documents, not the code.
The fastest way to give your AI agent perfect database knowledge.
npx lintbase export-context firestore --key ./service-account.json
Output:
/lintbase-context/
├── database-schema.md
├── collections.md
├── security-rules.md
├── architecture.md
└── risk-report.md
Drop the lintbase-context folder into your AI's context window, or mention it in .cursorrules. Your agent will now write perfect, drift-free database queries.
Firebase Console → Project Settings → Service Accounts → Generate new private key
Save the JSON file. Never commit it to git.
LintBase acts as "Version Control for your Schema". Run the snapshot command to create a baseline:
npx lintbase snapshot firestore --key ./service-account.json
Commit .lintbase/schema.json to your repository. Then, add the check command to your CI/CD pipeline (GitHub Actions, GitLab CI):
npx lintbase check firestore --key ./service-account.json --fail-on error
If a query or deployment accidentally deletes a critical field or changes a type (e.g., string to number), your CI build will fail instantly.
npx lintbase scan firestore --key ./service-account.json
You'll see a full report in your terminal:
LintBase — Firestore Scan
─────────────────────────────────────────────
Collections scanned: 12
Documents sampled: 847
Issues found: 23 (4 errors · 11 warnings · 8 infos)
Risk score: 67 / 100 [HIGH]
ERRORS
✖ users no-auth-check Documents readable without authentication
✖ orders missing-index Query on `status` + `createdAt` has no composite index
✖ debug_logs large-collection Collection has 2.4M docs — estimated $340/mo in reads
WARNINGS
⚠ products schema-drift Field `price` found as both Number and String
⚠ sessions ttl-missing No expiry field — stale docs accumulate indefinitely
...
Track your database health over time at lintbase.com:
npx lintbase scan firestore \
--key ./service-account.json \
--save https://www.lintbase.com \
--token <your-api-token>
Get your token at lintbase.com/dashboard/settings.
npx lintbase scan firestore --key ./sa.jsonnpx lintbase scan mongodb --uri mongodb+srv://user:[email protected]/testUsing Cursor, Claude Desktop, or Windsurf? Install lintbase-mcp to give your AI agent real-time Firestore schema context — so it stops hallucinating field names.
Add to .cursor/mcp.json:
{
"mcpServers": {
"lintbase": {
"command": "npx",
"args": ["-y", "lintbase-mcp"]
}
}
}
Now when you ask your AI "add a field to users", it will check your real schema first before writing a line of code.
lintbase <command> <database> [options]
Commands:
scan <database> Scan a database and print diagnostic report
export-context <database> Export schema to markdown/JSON for AI agents
snapshot <database> Generate local schema snapshot for CI comparison
check <database> Run in headless CI mode (fails on schema drift)
Options:
--key <path> Path to Firebase service account JSON
--uri <uri> MongoDB connection URI
--limit <n> Max documents to sample per collection [default: 100]
--max-depth <n> Firestore: tiers to recurse into subcollections
(1 = top-level only) [default: 2]
--fail-on <lvl> Fail pipeline if issues exceed severity (error, warning, info)
--save <url> Dashboard URL to save results
--token <token> API token for dashboard (from lintbase.com)
--collections Comma-separated list of collections to scan
-h, --help Show help
The CLI is free forever. The dashboard visualizes your scan results as an interactive schema map — your credentials never leave your machine.
What Pro gets you via --save:
CLI Local Tooling: 100% Free · Pro: $39/month — unlimited history, dashboards, and shared team workflow.
--limit (default 100) to prevent accidental read costs--save flag only sends the scan summary and issue list — never raw document dataMIT © Mamadou Dia
Real-time Firestore schema context for AI coding agents. Stop hallucinating field names.
{ "mcpServers": { "io.github.madia333-lintbase-mcp": { "command": "npx", "args": [ "-y", "[email protected]" ] } }}เครื่องมือ
ยังไม่มีรายการเครื่องมือ เซิร์ฟเวอร์แบบรีโมตจะได้รายการหลังการตรวจสอบสถานะครั้งแรก
FAQ
คัดลอกคอนฟิก stdio สำหรับ Cursor, Claude Desktop, Claude Code หรือ VS Code ได้ในหน้านี้ คอนฟิกนี้ใช้การติดตั้งของผู้เผยแพร่ ไม่ใช่พร็อกซีของ PlugMCP
ระเบียนนี้ไม่ได้ระบุตัวแปรสภาพแวดล้อมที่จำเป็น
Lintbase ทำงานแบบโลคัลผ่าน stdio
ตรวจสอบล่าสุดเมื่อ 2026-11-09 Real-time Firestore schema context for AI coding agents. Stop hallucinating field names.