Turso Database Integration
STDIOMCP server providing integration with Turso databases for LLMs with two-level authentication.
MCP server providing integration with Turso databases for LLMs with two-level authentication.
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.
This server implements a security-focused separation between read-only and destructive database operations:
execute_read_only_query
for SELECT and PRAGMA queries (safe,
read-only operations)execute_query
for INSERT, UPDATE, DELETE, CREATE, DROP, and
other operations that modify dataThis separation allows for different permission levels and approval requirements:
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.
The server implements a sophisticated authentication system:
Organization-Level Authentication
Database-Level Authentication
This server requires configuration through your MCP client. Here are examples for different environments:
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" } } } }
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" ] } } }
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')The server implements MCP Tools organized by category:
Lists all databases in your Turso organization.
Parameters: None
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" } ] }
Creates a new database in your organization.
Parameters:
name
(string, required): Name for the new databasegroup
(string, optional): Group to assign the database toregions
(string[], optional): Regions to deploy the database toExample:
{ "name": "analytics_db", "group": "production", "regions": ["us-east", "eu-west"] }
Deletes a database from your organization.
Parameters:
name
(string, required): Name of the database to deleteExample:
{ "name": "test_db" }
Generates a new token for a specific database.
Parameters:
database
(string, required): Database nameexpiration
(string, optional): Token expiration timepermission
(string, optional): Permission level ('full-access' or
'read-only')Example:
{ "database": "customer_db", "expiration": "30d", "permission": "read-only" }
Lists all tables in a database.
Parameters:
database
(string, optional): Database name (uses context if not
provided)Example:
{ "database": "customer_db" }
Executes a read-only SQL query (SELECT, PRAGMA) against a database.
Parameters:
query
(string, required): SQL query to execute (must be SELECT or
PRAGMA)params
(object, optional): Query parametersdatabase
(string, optional): Database name (uses context if not
provided)Example:
{ "query": "SELECT * FROM users WHERE age > ?", "params": { "1": 21 }, "database": "customer_db" }
Executes a potentially destructive SQL query (INSERT, UPDATE, DELETE, CREATE, etc.) against a database.
Parameters:
query
(string, required): SQL query to execute (cannot be SELECT
or PRAGMA)params
(object, optional): Query parametersdatabase
(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" }
Gets schema information for a table.
Parameters:
table
(string, required): Table namedatabase
(string, optional): Database name (uses context if not
provided)Example:
{ "table": "users", "database": "customer_db" }
Performs vector similarity search using SQLite vector extensions.
Parameters:
table
(string, required): Table namevector_column
(string, required): Column containing vectorsquery_vector
(number[], required): Query vector for similarity
searchlimit
(number, optional): Maximum number of results (default: 10)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" }
npm install
npm run build
npm run dev
npm run build
npm publish
If you encounter authentication errors:
If you have trouble connecting to databases:
Contributions are welcome! Please feel free to submit a Pull Request.
MIT License - see the LICENSE file for details.
Built on: