Supabase
MCP server for interacting with the Supabase platform
作者による説明(英語の原文)
Operations toolchain for SQLite, Cloudflare D1 & Turso: inspect, diff, migrate, monitor & repair.
この3つを1つのスコアにまとめることはしません。意見、測定、人気はそれぞれ別のものだからです。
このサーバーのやさしい解説はまだ書いていません。以下はレジストリから読み取った事実です。
使っているAIアプリを選んで、設定をコピーしてください。
CLOUDFLARE_API_TOKEN, CLOUDFLARE_ACCOUNT_ID「秘密」と表示された値は、あなたのアカウントの鍵です。絶対に人に教えたり、チャットに貼り付けたりしないでください。
必要なもの
どのアプリを使っていますか?
上でアプリを選んでください。選んだアプリを覚えておくので、次からはボタンに「…にインストール」と表示されます。
Claude Desktop → Settings → Developer → Edit Config を開き、claude_desktop_config.json にこれを貼り付けます
{
"mcpServers": {
"litescope": {
"command": "npx",
"args": [
"-y",
"litescope",
"mcp"
],
"env": {
"CLOUDFLARE_API_TOKEN": "your-value",
"CLOUDFLARE_ACCOUNT_ID": "your-value"
}
}
}
}ターミナルでこれを実行します
claude mcp add litescope --env CLOUDFLARE_API_TOKEN=your-value --env CLOUDFLARE_ACCOUNT_ID=your-value -- npx -y litescope mcp動かす前に、空欄の値を入力してください。
プロジェクトの .cursor/mcp.json、または ~/.cursor/mcp.json に貼り付けます
{
"mcpServers": {
"litescope": {
"command": "npx",
"args": [
"-y",
"litescope",
"mcp"
],
"env": {
"CLOUDFLARE_API_TOKEN": "your-value",
"CLOUDFLARE_ACCOUNT_ID": "your-value"
}
}
}
}ブラウザがアプリを開いてよいか確認し、そのあとアプリが設定を表示して確認を求めます。キーの値は空欄のままなので、自分で入力してください。
プロジェクトの .vscode/mcp.json に貼り付けます
{
"servers": {
"litescope": {
"type": "stdio",
"command": "npx",
"args": [
"-y",
"litescope",
"mcp"
],
"env": {
"CLOUDFLARE_API_TOKEN": "your-value",
"CLOUDFLARE_ACCOUNT_ID": "your-value"
}
}
}
}ブラウザがアプリを開いてよいか確認し、そのあとアプリが設定を表示して確認を求めます。キーの値は空欄のままなので、自分で入力してください。
これはパソコンで動くサーバーですが、ChatGPTがつなげるのはインターネット上のサーバーだけです。ほかのアプリを選んでください。
選んだアプリは、この端末のCookieに保存されます。アカウントは不要です。
CLOUDFLARE_ACCOUNT_ID envこの設定は、作者のレジストリ登録情報から作成しています。READMEと違う場合は、READMEに従ってください。
パソコンで動くサーバーです。インストールすると、ツール一覧がAIアプリに表示されます。
誰でも見られる情報をチェックしており、コードは読んでいません。当てはまらない項目は数に入れていません。 · 2026年11月7日にチェック
レジストリ名は、リポジトリを所有するGitHubアカウント croc100 で確認済みです
このリポジトリはまだGitHubから読み取っていません
このリポジトリはまだGitHubから読み取っていません
これはパソコンで動くため、インターネット上のエンドポイントはありません
パソコンで動き、代わりにローカルの設定を使います
パソコンで動くサーバーです。ツール一覧を読み取れるのは、インターネット上のエンドポイントがある場合だけです
レジストリでこのカテゴリにある有効なすべてのサーバーと比較しています。スターは、公開者がリポジトリの所有者である場合だけ数えます。
当てはまる基本チェック1項目のうち1項目に合格しました。コードは読んでいません。キーやトークンを追加する前に、サーバーがどんなアクセスを求めているかを確認し、必要な権限だけを持つキーを使ってください。
入力が必要なもの:CLOUDFLARE_API_TOKEN
あなたのパソコンで動きます。必要なときにAIアプリが起動し、データは作者のサーバーを通りません(サーバー自体がオンラインサービスを呼び出す場合を除きます)。
GitHubリポジトリの最終更新は–、最新バージョン(0.9.0)がレジストリに届いたのは42 日前です。
Claude Desktop、Claude Code、Cursor、VS CodeなどのMCP対応アプリで使えます。パソコンにNode.jsも必要です。
同じカテゴリには:Supabase, MongoDB MCP Server, Elasticsearch MCP Server
同じカテゴリで、ほかの作者が作ったサーバー。スターの多い順。
カードの見方:★ GitHubスターi3つの柱:レビュー · チェック · 利用状況i更新=最新バージョンをレジストリに公開した日i
MCP server for interacting with the Supabase platform
MongoDB Model Context Protocol Server
MCP server for interacting with Elasticsearch
作者のリポジトリから書かれたとおりにコピーしたものです。PopNx MCPは内容を確認・推奨していません。HTML、画像、スクリプトは取り除いています。リンクはこのサイトの外へ移動します。
Let AI agents touch production SQLite — safely. Diagnose before the write, rewind after it. For Cloudflare D1, Turso, and local files.
Ask Claude to change your D1 database — and undo it if it's wrong. Every write is dry-run by default with the exact blast radius, and one call away from revert.
Free and open source (AGPL-3.0) — every command, every fleet operation, self-hostable, no license key. The only paid thing is the hosted dashboard we run for you.
"It's just a file — what's there to operate?"
That was true when SQLite was a local dev toy. It isn't anymore. D1, Turso, LiteFS, and Litestream put SQLite in production at fleet scale — thousands of databases, one per tenant. But the tooling never caught up:
pg_stat, no APM, no standard way to see *from the outside* why a database is locked, why WAL is bloating, or which tenant went silent.Postgres has a mature tool for every problem. SQLite has none — so Litescope is one binary for the whole job: fleet observability, file-level superpowers (bisect / rewind / salvage), lock & WAL diagnostics, and a safe interface for agents. Things a generic DB client structurally can't do.
Claude Code — install the plugin, which brings the MCP server plus five skills (lock doctor, safe writes, migration review, fleet sweep, corruption recovery) that teach the agent how to use it when something is wrong:
/plugin marketplace add croc100/Litescope
/plugin install litescope@litescope
Or just the MCP server, one line (read-only):
claude mcp add litescope -- litescope mcp
With writes + D1 (Litescope still dry-runs every write and captures a rewind point before applying):
claude mcp add litescope \
-e CLOUDFLARE_API_TOKEN=your-token \ -e CLOUDFLARE_ACCOUNT_ID=your-account-id \ -- litescope mcp --allow-writes
Cursor — one-click: ➕ Add litescope to Cursor (installs read-only; add --allow-writes and the Cloudflare env vars in mcp.json to enable writes).
Claude Desktop / Windsurf / any MCP client — add to the config file directly:
{
"mcpServers": { "litescope": { "command": "litescope", "args": ["mcp", "--allow-writes"], "env": { "CLOUDFLARE_API_TOKEN": "your-token", "CLOUDFLARE_ACCOUNT_ID": "your-account-id" } } } }
Also listed in the MCP Registry as io.github.croc100/litescope.
Then ask Claude things like:
"List my D1 databases"
"Show me the schema of the users table in d1://abc-123" "Delete every inactive user from d1://prod-db-id" ← dry-run first: shows the exact blast radius before you approve the write "Undo that — put it back the way it was" ← one-call revert via the rewind_token from the write "The deploy at 2pm broke something — rewind prod to 1:45pm" "Diff my local dev.db against d1://prod-db-id and show me the migration SQL"
| Tool | What it does |
|---|---|
litescope_d1_list | List all D1 databases in the account (UUID, name, DSN) |
litescope_query | Run a SELECT on any D1 database or local SQLite file |
litescope_schema | Inspect tables, columns, indexes |
litescope_health | Check for corruption, WAL bloat, fragmentation |
litescope_diff | Schema and row-count diff between any two sources |
litescope_migrate_plan | Generate migration SQL + blast-radius analysis |
litescope_migrate_diff | Generate migration SQL only (no blast-radius) |
litescope_advise | Performance analysis: missing indexes, full table scans |
litescope_check | Verify a backup against a reference database |
litescope_fingerprint | Cluster a fleet by schema fingerprint |
litescope_fleet_health | Triage faults across a whole fleet |
litescope_locks | Diagnose database is locked / SQLITE_BUSY (static + live) |
litescope_snapshot_list | List point-in-time snapshots for a local database |
litescope_query enforces token budgeting — max_rows cap + columns projection + truncation reporting — so a large table never blows the agent's context window.
--allow-writes)| Tool | What it does |
|---|---|
litescope_query_write | Mutating SQL — dry-run by default with exact rows affected and blast-radius diff (D1 dry-runs measured on a pulled copy); on apply, captures an undo point first (local: snapshot, D1: Time Travel bookmark) and returns it as a rewind_token |
litescope_write_undo | Revert a write in one call using its rewind_token — local files and D1 alike; tokens are bound to the database they were minted for |
litescope_migrate_apply | Apply a migration — same reversible contract as litescope_query_write |
litescope_autopilot | Self-driving optimization (ANALYZE, indexes, VACUUM) — dry-run by default |
litescope_snapshot | Take a point-in-time backup of a local database |
litescope_restore | Restore a local database from a snapshot |
litescope_rewind | Restore a D1 database to a point in time (Time Travel) |
litescope_d1_pull | Download a D1 database to a local SQLite file |
litescope_d1_create | Create a new D1 database |
litescope_d1_delete | Delete a D1 database (irreversible) |
Write tools are off unless you start the server with --allow-writes, every write is dry-run by default, and no write commits without an auto-captured undo point. See the security model for the full boundary — what each layer protects against, and what it doesn't.
Beyond tools, the MCP server exposes prompts — canned workflows like diagnose_locked_database, review_migration, safe_optimize, and health_checkup that chain the tools above into a safe plan — and resources: a database's schema, data dictionary, live health, and live lock diagnosis — readable by the agent without spending a tool call, and subscribable for push updates whenever the underlying file changes. Bind one with litescope mcp ./app.db, or address any source via litescope://schema/{source}, litescope://dictionary/{source}, litescope://health/{source}, and litescope://locks/{source}.
The server implements MCP 2026-07-28, the stateless revision: server/discover, per-request protocol metadata, resultType, caching hints (ttlMs / cacheScope), and subscriptions/listen streams — alongside tool annotations (read-only / destructive hints), structured output (structuredContent + outputSchema) and argument completion. It is dual-era: a client that still opens with the initialize handshake is served MCP 2025-06-18 unchanged, so older MCP clients keep working.
Four tools answer with an interactive panel rendered inside the conversation, via the MCP Apps extension (io.modelcontextprotocol/ui):
| Tool | View |
|---|---|
litescope_locks | Lock doctor — verdict, each finding's exact PRAGMA/DSN fix, live lock probe |
litescope_health | Health panel — integrity, WAL, fragmentation, snapshot cover |
litescope_query_write / litescope_migrate_apply | Blast radius — rows affected per statement, schema impact, rewind token |
litescope_fleet_health | Fleet grid — every database worst-first, with drill-down |
The views are single self-contained documents compiled into the binary. They load nothing from the network, so the host's strictest CSP applies and a database's contents cannot leave the iframe. They never write, either: a button that would apply or undo a write hands the request back to the conversation, because a click inside an embedded panel is not the user approving a production write. A host without the extension gets the same results as text.
By default litescope mcp speaks stdio. For a hosted, remote, or multi-client setup, serve over the Streamable HTTP transport instead:
litescope mcp --http :7577 --http-token "$LITESCOPE_MCP_TOKEN"
POST a JSON-RPC message to the endpoint (/mcp by default). Modern clients are served statelessly — no session — with each request carrying its own protocol metadata and the standard MCP-Protocol-Version / Mcp-Method / Mcp-Name headers, and change notifications arriving on a subscriptions/listen response stream. Handshake-era clients still get a session via the Mcp-Session-Id header and a GET SSE stream.
Before exposing it publicly, lock it down: --http-token (or the LITESCOPE_MCP_TOKEN env var) requires Authorization: Bearer on every request, and --http-origin allowlists browser Origins (localhost is always allowed) for DNS-rebinding protection. Without a token the endpoint is open and the server prints a warning.
# Restore to a previous point in time
litescope rewind d1://DB_ID --to "2h ago" litescope rewind d1://DB_ID --to "yesterday" litescope rewind d1://DB_ID --to "2024-01-15T10:30:00Z"
litescope rewind list d1://DB_ID
# Download D1 → local (for inspection, backup, or diffing)
litescope d1 pull d1://DB_ID ./snapshot.db
litescope d1 push ./seed.db d1://DB_ID litescope d1 push ./seed.db d1://DB_ID --drop-existing
# Diff local dev schema against live D1 — generate migration SQL
litescope migrate local.db d1://DB_ID
litescope migrate apply d1://DB_ID migration.sql
Binary-search D1 Time Travel to pinpoint the exact snapshot where a query started returning wrong results:
litescope bisect d1://DB_ID \
--good "3d ago" \ --bad now \ --check "SELECT COUNT(*) FROM orders WHERE status = 'paid'" \ --expect "gt:0"
Checks gt:0 (greater-than), lt:N, eq:N, or a literal value. Narrows to the snapshot window where the condition first failed, then lets you inspect or rewind.
doctor — one-shot checkuplitescope doctor a冒頭だけを表示しています。続きはリポジトリで読めます