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LiteScope

by croc100version 0.9.0i★ –iRuns on your computer
Registry nameio.github.croc100/litescope

Install

Overview

Description from the maker (original English)

Operations toolchain for SQLite, Cloudflare D1 & Turso: inspect, diff, migrate, monitor & repair.

PopNx MCP’s three pillars

These three are never merged into one score: opinions, measurements and popularity are different things.

What you can do with it

We have not written a plain-language summary for this one yet. Below are the facts we read from the registry.

  • Connection: Runs on your computer
  • Transport: stdio
  • Category: Databases & datasets
  • You need to fill in: CLOUDFLARE_API_TOKEN

Install

Pick the AI app you use, then copy the settings.

Before you install

  • Basic checks: 1 of 1 passed
  • Runs on your computer with your user’s permissions (files, network, apps).
  • You fill in yourself: CLOUDFLARE_API_TOKEN, CLOUDFLARE_ACCOUNT_ID

Values marked secret are keys to your account. Never share them or paste them into a chat.

You need

  • npmNode.js installed (for the npx command)

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 mcp

Fill in the empty values before running it.

Open in Cursor

Or copy the settings yourself

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.

Open in VS Code

Or copy the settings yourself

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.

Values you fill in

  • CLOUDFLARE_API_TOKEN secret env
    Cloudflare API token — only needed for Cloudflare D1 sources (d1://...)
  • CLOUDFLARE_ACCOUNT_ID env
    Cloudflare account ID — only needed for Cloudflare D1 sources

These settings are generated from the maker’s registry entry. If the README says otherwise, follow the README.

What it can do

Runs on your computer; the tool list appears in your AI app after you install it.

Basic checksi

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

  • ✓ Pass

    Maker matches the repo

    The registry name was verified with the GitHub account croc100, which owns the repo

  • … Not checked yet

    Still maintained

    We have not read this repo from GitHub yet

  • … Not checked yet

    Has a licence

    We have not read this repo from GitHub yet

  • – Not applicable

    Endpoint responds

    This one runs on your computer; there is no internet endpoint

  • – Not applicable

    Sign-in with OAuth

    Runs on your computer and uses local settings instead

  • … Not checked yet

    No hidden instructions in tool descriptions

    Runs on your computer; we can only read tool lists from internet endpoints

Compared with others in Databases & datasetsi

  • More stars than 0% of the other 954 servers in this category
  • Published to the registry more recently than 43% of the other 954 servers in this category
  • Basic checks equal to or better than 100% of the other 954 servers in this category

Compared with every active server in this category in the registry. Stars count only when the publisher owns the repo.

Common questions

Is LiteScope safe?

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.

What keys or codes does it need?

You need to fill in: CLOUDFLARE_API_TOKEN

Does it run on my computer or in the cloud?

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).

Is it still maintained?

The GitHub repo last changed –, and the latest version (0.9.0) reached the registry 42 days ago.

Which apps can use it?

Apps that support MCP, such as Claude Desktop, Claude Code, Cursor and VS Code. You also need Node.js on your computer.

What can I use instead?

In the same category: Supabase, MongoDB MCP Server, Elasticsearch MCP Server

Alternatives

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

by supabase

Supabase’s official server lets AI create tables, query data and review project settings in your Supabase database.

Computer or cloud★ 2,993Apache-2.0Updated yesterday
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MongoDB MCP Server

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Runs on your computer★ 1,157Apache-2.0Updated 2 days ago
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README from the maker

Open the README

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.

Litescope

Let AI agents touch production SQLite — safely. Diagnose before the write, rewind after it. For Cloudflare D1, Turso, and local files.

Website · Roadmap · Sponsor

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.


Why a tool for SQLite?

"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:

  • `sqlite3` assumes one database. Production assumes thousands. There's no 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.
  • Embedded means unobservable. The very thing that makes SQLite great — no server — is what leaves you blind in production.
  • Agents now write to your data. No SQLite tool was built assuming an AI would run the migration. Litescope was.

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.


MCP — Give Claude direct access to your D1

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"

Read-only tools (always available)
ToolWhat it does
litescope_d1_listList all D1 databases in the account (UUID, name, DSN)
litescope_queryRun a SELECT on any D1 database or local SQLite file
litescope_schemaInspect tables, columns, indexes
litescope_healthCheck for corruption, WAL bloat, fragmentation
litescope_diffSchema and row-count diff between any two sources
litescope_migrate_planGenerate migration SQL + blast-radius analysis
litescope_migrate_diffGenerate migration SQL only (no blast-radius)
litescope_advisePerformance analysis: missing indexes, full table scans
litescope_checkVerify a backup against a reference database
litescope_fingerprintCluster a fleet by schema fingerprint
litescope_fleet_healthTriage faults across a whole fleet
litescope_locksDiagnose database is locked / SQLITE_BUSY (static + live)
litescope_snapshot_listList 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.

Write tools (--allow-writes)
ToolWhat it does
litescope_query_writeMutating 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_undoRevert 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_applyApply a migration — same reversible contract as litescope_query_write
litescope_autopilotSelf-driving optimization (ANALYZE, indexes, VACUUM) — dry-run by default
litescope_snapshotTake a point-in-time backup of a local database
litescope_restoreRestore a local database from a snapshot
litescope_rewindRestore a D1 database to a point in time (Time Travel)
litescope_d1_pullDownload a D1 database to a local SQLite file
litescope_d1_createCreate a new D1 database
litescope_d1_deleteDelete 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.

Prompts & Resources

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.

Interactive views (MCP Apps)

Four tools answer with an interactive panel rendered inside the conversation, via the MCP Apps extension (io.modelcontextprotocol/ui):

ToolView
litescope_locksLock doctor — verdict, each finding's exact PRAGMA/DSN fix, live lock probe
litescope_healthHealth panel — integrity, WAL, fragmentation, snapshot cover
litescope_query_write / litescope_migrate_applyBlast radius — rows affected per statement, schema impact, rewind token
litescope_fleet_healthFleet 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.

Remote / hosted (Streamable HTTP)

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.


D1 — CLI operations

Rewind — D1 Time Travel
# 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"

List available restore points (30-day window + migration timestamps)

litescope rewind list d1://DB_ID

Pull / Push — sync between D1 and local SQLite
# Download D1 → local (for inspection, backup, or diffing)

litescope d1 pull d1://DB_ID ./snapshot.db

Upload local → D1 (seed a fresh database or restore from snapshot)

litescope d1 push ./seed.db d1://DB_ID litescope d1 push ./seed.db d1://DB_ID --drop-existing

Migrate — schema changes on D1
# Diff local dev schema against live D1 — generate migration SQL

litescope migrate local.db d1://DB_ID

Apply a migration directly to D1

litescope migrate apply d1://DB_ID migration.sql

Bisect — find which commit broke a D1 database

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.


Local SQLite

doctor — one-shot checkup
litescope doctor a

Only the beginning is shown; read the rest in the repo

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