Supabase
Supabase’s official server lets AI create tables, query data and review project settings in your Supabase database.
Description from the maker (original English)
Operations toolchain for SQLite, Cloudflare D1 & Turso: inspect, diff, migrate, monitor & repair.
These three are never merged into one score: opinions, measurements and popularity are different things.
We have not written a plain-language summary for this one yet. Below are the facts we read from the registry.
Pick the AI app you use, then copy the settings.
CLOUDFLARE_API_TOKEN, CLOUDFLARE_ACCOUNT_IDValues marked secret are keys to your account. Never share them or paste them into a chat.
You need
Which app do you use?
Pick your app above. We remember it, so next time the button says “Install in …”.
Open Claude Desktop → Settings → Developer → Edit Config, and paste this into claude_desktop_config.json
{
"mcpServers": {
"litescope": {
"command": "npx",
"args": [
"-y",
"litescope",
"mcp"
],
"env": {
"CLOUDFLARE_API_TOKEN": "your-value",
"CLOUDFLARE_ACCOUNT_ID": "your-value"
}
}
}
}Run this in your terminal
claude mcp add litescope --env CLOUDFLARE_API_TOKEN=your-value --env CLOUDFLARE_ACCOUNT_ID=your-value -- npx -y litescope mcpFill in the empty values before running it.
Paste into .cursor/mcp.json in your project, or ~/.cursor/mcp.json
{
"mcpServers": {
"litescope": {
"command": "npx",
"args": [
"-y",
"litescope",
"mcp"
],
"env": {
"CLOUDFLARE_API_TOKEN": "your-value",
"CLOUDFLARE_ACCOUNT_ID": "your-value"
}
}
}
}Your browser asks to open the app, then the app shows the settings and asks you to confirm. Key values are left empty for you to fill in.
Paste into .vscode/mcp.json in your project
{
"servers": {
"litescope": {
"type": "stdio",
"command": "npx",
"args": [
"-y",
"litescope",
"mcp"
],
"env": {
"CLOUDFLARE_API_TOKEN": "your-value",
"CLOUDFLARE_ACCOUNT_ID": "your-value"
}
}
}
}Your browser asks to open the app, then the app shows the settings and asks you to confirm. Key values are left empty for you to fill in.
This one runs on your computer, and ChatGPT can only connect to servers on the internet. Pick another app.
Your choice stays on this device in a cookie; no account needed.
CLOUDFLARE_ACCOUNT_ID envThese settings are generated from the maker’s registry entry. If the README says otherwise, follow the README.
Runs on your computer; the tool list appears in your AI app after you install it.
We check information anyone can see; we have not read the code. Checks that do not apply are left out of the count. · Checked Nov 7, 2026
The registry name was verified with the GitHub account croc100, which owns the repo
We have not read this repo from GitHub yet
We have not read this repo from GitHub yet
This one runs on your computer; there is no internet endpoint
Runs on your computer and uses local settings instead
Runs on your computer; we can only read tool lists from internet endpoints
Compared with every active server in this category in the registry. Stars count only when the publisher owns the repo.
It passed 1 of 1 applicable basic checks. We have not read the code. Before adding a key or token, see what access the server asks for and use a key with only the permissions you need.
You need to fill in: CLOUDFLARE_API_TOKEN
It runs on your computer. Your AI app starts it when needed, and data does not pass through the maker’s servers (unless it calls an online service itself).
The GitHub repo last changed –, and the latest version (0.9.0) reached the registry 42 days ago.
Apps that support MCP, such as Claude Desktop, Claude Code, Cursor and VS Code. You also need Node.js on your computer.
In the same category: Supabase, MongoDB MCP Server, Elasticsearch MCP Server
Servers in the same category from other makers, sorted by stars.
Reading a card:★ GitHub starsiThree pillars: reviews · checks · usageiUpdated = latest version published to the registryi
Supabase’s official server lets AI create tables, query data and review project settings in your Supabase database.
MongoDB Model Context Protocol Server
MCP server for interacting with Elasticsearch
Copied from the maker’s repo as written. PopNx MCP has not reviewed or endorsed it. HTML, images and scripts are removed. Links lead off this site.
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 aOnly the beginning is shown; read the rest in the repo