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MCP Turso Cloud

by spences10version 0.0.9i★ –iRuns on your computer
Registry nameio.github.spences10/mcp-turso-cloud

Install

Overview

Description from the maker (original English)

MCP server for integrating Turso with LLMs

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: Search & AI memory
  • You need to fill in: TURSO_API_TOKEN, TURSO_ORGANIZATION

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: TURSO_API_TOKEN, TURSO_ORGANIZATION, TURSO_DEFAULT_DATABASE, TOKEN_EXPIRATION, TOKEN_PERMISSION

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": {
    "turso-cloud": {
      "command": "npx",
      "args": [
        "-y",
        "mcp-turso-cloud"
      ],
      "env": {
        "TURSO_API_TOKEN": "your-value",
        "TURSO_ORGANIZATION": "your-value",
        "TURSO_DEFAULT_DATABASE": "your-value",
        "TOKEN_EXPIRATION": "your-value",
        "TOKEN_PERMISSION": "your-value"
      }
    }
  }
}

Run this in your terminal

claude mcp add turso-cloud --env TURSO_API_TOKEN=your-value --env TURSO_ORGANIZATION=your-value --env TURSO_DEFAULT_DATABASE=your-value --env TOKEN_EXPIRATION=your-value --env TOKEN_PERMISSION=your-value -- npx -y mcp-turso-cloud

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": {
    "turso-cloud": {
      "command": "npx",
      "args": [
        "-y",
        "mcp-turso-cloud"
      ],
      "env": {
        "TURSO_API_TOKEN": "your-value",
        "TURSO_ORGANIZATION": "your-value",
        "TURSO_DEFAULT_DATABASE": "your-value",
        "TOKEN_EXPIRATION": "your-value",
        "TOKEN_PERMISSION": "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": {
    "turso-cloud": {
      "type": "stdio",
      "command": "npx",
      "args": [
        "-y",
        "mcp-turso-cloud"
      ],
      "env": {
        "TURSO_API_TOKEN": "your-value",
        "TURSO_ORGANIZATION": "your-value",
        "TURSO_DEFAULT_DATABASE": "your-value",
        "TOKEN_EXPIRATION": "your-value",
        "TOKEN_PERMISSION": "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

  • TURSO_API_TOKEN secret required env
    Turso Platform API token for authentication
  • TURSO_ORGANIZATION required env
    Turso organization name
  • TURSO_DEFAULT_DATABASE env
    Default database name (optional)
  • TOKEN_EXPIRATION env
    Token expiration time (default: 7d)
  • TOKEN_PERMISSION env
    Default token permission level (default: full-access)

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 spences10, 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 Search & AI memoryi

  • More stars than 0% of the other 5653 servers in this category
  • Published to the registry more recently than 0% of the other 5653 servers in this category
  • Basic checks equal to or better than 100% of the other 5653 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 MCP Turso Cloud 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: TURSO_API_TOKEN, TURSO_ORGANIZATION

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 (0.0.9) reached the registry 14 months 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: Context7, Codebase Memory, Exa

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

Context7

by upstash

Feeds AI the latest docs for libraries and frameworks before it answers, so code it writes does not use outdated, removed functions.

Computer or cloud★ 64,224MITUpdated yesterday
Install

Codebase Memory

by DeusData

Codebase knowledge graph for AI agents — 162 languages, sub-ms queries, 99% fewer tokens.

Runs on your computer★ 48,148MITUpdated 21 days ago
Install

Exa

by exa-labs

Connect AI agents to Exa for web search, content fetching, and multi-step research.

Runs in the cloud★ 5,213MITUpdated 2 months ago
Install

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.

mcp-turso-cloud

A Model Context Protocol (MCP) server that provides integration with Turso databases for LLMs. This server implements a two-level authentication system to handle both organization-level and database-level operations, making it easy to manage and query Turso databases directly from LLMs.

Features

🏢 Organization-Level Operations
  • List Databases: View all databases in your Turso organization
  • Create Database: Create new databases with customizable options
  • Delete Database: Remove databases from your organization
  • Generate Database Token: Create authentication tokens for specific databases
💾 Database-Level Operations
  • List Tables: View all tables in a specific database
  • Execute Read-Only Query: Run SELECT and PRAGMA queries (read-only operations)
  • Execute Query: Run potentially destructive SQL queries (INSERT, UPDATE, DELETE, etc.)
  • Describe Table: Get schema information for database tables
  • Vector Search: Perform vector similarity search using SQLite vector extensions

⚠️ IMPORTANT: Query Execution Security ⚠️

This server implements a security-focused separation between read-only and destructive database operations:

  • Use execute_read_only_query for SELECT, read-only WITH/VALUES, EXPLAIN of reads, and allowlisted metadata PRAGMAs.
  • Use execute_query for INSERT, UPDATE, DELETE, CREATE, DROP, mutating PRAGMAs, and other operations that modify data.

Read tools always request read-only Turso credentials, including when full-access clients are already cached. The token endpoint receives authorization=read-only as a query parameter. Read failures never fall back to full access. Tokens and clients are cached separately by permission and refreshed when tokens expire.

Local SQL validation rejects multiple statements, mutating PRAGMAs on the read path, and file/extension functions. It is a conservative routing check, not a complete SQL parser or a substitute for Turso's server-side authorization. Unknown or quoted PRAGMA names require the write tool. Compound statements containing internal semicolons (such as trigger definitions) are not supported. Identifiers in generated SQL are quoted; data values use bindings.

This separation allows for different permission levels and approval requirements:

  • Read-only operations can be auto-approved in many contexts
  • Destructive operations can require explicit approval for safety

ALWAYS CAREFULLY READ AND REVIEW SQL QUERIES BEFORE APPROVING THEM! This is especially critical for destructive operations that can modify or delete data. Take time to understand what each query does before allowing it to execute.

Two-Level Authentication System

The server implements a sophisticated authentication system:

  1. Organization-Level Authentication
  • Uses a Turso Platform API token
  • Manages databases and organization-level operations
  • Obtained through the Turso dashboard
  1. Database-Level Authentication
  • Uses database-specific tokens
  • Generated automatically using the organization token
  • Cached for performance and rotated as needed

Configuration

This server requires configuration through your MCP client. Here are examples for different environments:

Cline/Claude Desktop Configuration

Add this to your Cline/Claude Desktop MCP settings:

{

"mcpServers": { "mcp-turso-cloud": { "command": "npx", "args": ["-y", "mcp-turso-cloud"], "env": { "TURSO_API_TOKEN": "your-turso-api-token", "TURSO_ORGANIZATION": "your-organization-name", "TURSO_DEFAULT_DATABASE": "optional-default-database" } } } }

Claude Desktop with WSL Configuration

For WSL environments, add this to your Claude Desktop configuration:

{

"mcpServers": { "mcp-turso-cloud": { "command": "wsl.exe", "args": [ "bash", "-c", "TURSO_API_TOKEN=your-token TURSO_ORGANIZATION=your-org node /path/to/mcp-turso-cloud/dist/index.js" ] } } }

Environment Variables

The server requires the following environment variables:

  • TURSO_API_TOKEN: Your Turso Platform API token (required)
  • TURSO_ORGANIZATION: Your Turso organization name (required)
  • TURSO_DEFAULT_DATABASE: Default database to use when none is specified (optional)
  • TOKEN_EXPIRATION: Expiration time for generated database tokens (optional, default: '7d')
  • TOKEN_PERMISSION: Permission level for generated tokens (optional, default: 'full-access')

API

The server implements MCP Tools organized by category:

Organization Tools
list_databases

Lists all databases in your Turso organization.

Parameters:

  • limit (integer, optional): Maximum results, default 1000, maximum 10000
  • offset (integer, optional): Results to skip, default 0, maximum 1000000

Responses include pagination with returned_count, has_more, and next_offset.

Example response:

{

"databases": [ { "name": "customer_db", "id": "abc123", "region": "us-east", "created_at": "2023-01-15T12:00:00Z" }, { "name": "product_db", "id": "def456", "region": "eu-west", "created_at": "2023-02-20T15:30:00Z" } ] }

create_database

Creates a new database in your organization.

Parameters:

  • name (string, required): Name for the new database
  • group (string, optional): Group to assign the database to
  • regions (string[], optional): Regions to deploy the database to

Example:

{

"name": "analytics_db", "group": "production", "regions": ["us-east", "eu-west"] }

delete_database

Deletes a database from your organization.

Parameters:

  • name (string, required): Name of the database to delete

Example:

{

"name": "test_db" }

generate_database_token

Generates a new token for a specific database. Expiration is configured through TOKEN_EXPIRATION; the returned JWT is a secret.

Parameters:

  • database (string, required): Database name
  • permission (string, optional): Permission level ('full-access' or 'read-only')

Example:

{

"database": "customer_db", "permission": "read-only" }

Database Tools

Database names are limited to 1–64 letters, digits, underscores, or hyphens. Table/column identifiers accept 1–64 characters, excluding null bytes; punctuation and quotes are safely escaped. A supplied database becomes the current context only after its operation succeeds.

list_tables

Lists all tables in a database, with pagination metadata.

Parameters:

  • database (string, optional): Database name (uses context if not provided)
  • limit (integer, optional): Maximum results, default 1000, maximum 10000
  • offset (integer, optional): Results to skip, default 0, maximum 1000000

Example:

{

"database": "customer_db" }

execute_read_only_query

Executes one SELECT, read-only WITH/VALUES query, EXPLAIN of a read, or allowlisted metadata PRAGMA against a database.

Parameters:

  • query (string, required): One SQL statement, maximum 10000 characters
  • params (object, optional): Named parameters or contiguous positional keys starting at "1"; values must be strings, finite numbers, booleans, or null
  • database (string, optional): Database name (uses context if not provided)
  • limit (integer, optional): Maximum rows, default 1000, maximum 10000
  • offset (integer, optional): Rows to skip, default 0, maximum 1000000

SELECT-style queries are wrapped with an outer limit/offset, preserving any limit already present in your SQL. Metadata PRAGMA and EXPLAIN results are sliced after fetching. Use a stable ORDER BY when paging. Responses retain result.rows and add pagination metadata.

Query result rows and column names have a 512 KiB JSON budget. If a row cannot fit, select fewer/smaller columns (for example, substr). result.truncated and truncation_reason explain omitted results; next_offset is null when no row fits. BigInts are decimal strings and blobs are { "type": "blob", "base64": "..." }.

Example:

{

"query": "SELECT * FROM users WHERE age > ?", "params": { "1": 21 }, "database": "customer_db" }

execute_query

Executes a potentially destructive SQL query (INSERT, UPDATE, DELETE, CREATE, etc.) against a database.

Parameters:

  • query (string, required): One write statement, maximum 10000 characters; includes mutating PRAGMAs and WITH-prefixed writes
  • params (object, optional): Same parameter types as the read tool
  • database (string, optional): Database name (uses context if not provided)

Example:

{

"query": "INSERT INTO users (name, age) VALUES (?, ?)", "params": { "1": "Alice", "2": 30 }, "database": "customer_db" }

Write result rows (such as RETURNING) are capped at 1000 rows and the same byte budget. rowsAffected remains intact. Truncation does not undo the write: do not rerun a write to fetch omitted rows.

describe_table

Gets schema information for a table.

Parameters:

  • table (string, required): Table name
  • database (string, optional): Database name (uses context if not provided)

Example:

{

"table": "users", "database": "customer_db" }

vector_search

Performs vector similarity search using SQLite vector extensions.

Parameters:

  • table (string, required): Table name
  • vector_column (string, required): Column containing vectors
  • query_vector (number[], required): 1–4096 finite numbers
  • limit (integer, optional): Maximum results, default 10, maximum 1000
  • database (string, optional): Database name (uses context if not provided)

Example:

{

"table": "embeddings", "vector_column": "embedding", "query_vector": [0.1, 0.2, 0.3, 0.4], "limit": 5, "database": "vector_db" }

Development

Setup

Use Node.js 24.15.0 or newer and pnpm 12.5.1 (pinned in package.json). .node-version selects the development runtime.

pnpm install

pnpm check pnpm test

Vite+ provides the build, formatting, linting, type checking, and test runner through vite.config.ts:

  • pnpm build — bundle the executable and declarations into dist/
  • pnpm start — run the built server with your Turso configuration
  • pnpm dev — rebuild on source changes
  • pnpm inspect — open the MCP inspector against the built server
  • pnpm check — check formatting, lint, and types
  • pnpm check:fix — apply formatting and safe lint fixes
  • pnpm format / pnpm format:check — format or check formatting
  • pnpm test — build and run offline SQL, permission, token, MCP handler, and CLI tests; no Turso credentials or live database access needed. SQL execution tests use an isolated in-memory libSQL database.

Dependency versions live in the pnpm-workspace.yaml catalog. New releases must be at least two days old before installation.

Editors

Install the Oxc extension in Zed or the Vite Plus Extension Pack in VS Code. Checked-in .zed/settings.json and .vscode/settings.json use Oxfmt with the shared vite.config.ts formatting settings. Prettier configuration is no longer used.

Publishing
pnpm changeset

pnpm version pnpm check pnpm test pnpm release

pnpm release builds and publishes through Changesets. pnpm pack can verify the package locally without publishing.

Troubleshooting

API Token Issues

If you encounter authentication errors:

  1. Verify your Turso API token is valid and has the necessary permissions
  2. Check that your organization name is correct
  3. Ensure your token hasn't expired
Database Connection Issues

If you have trouble connecting to databases:

  1. Verify the database exists in your organization
  2. Check that your API token ha

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