Sqlite

MCP server that provides SQLite database operations. Allows AI assistants to query, modify and manage SQLite databases through the Model Context Protocol.

Installation

pip install -r requirements.txt

Quick Start

from mcpsqlite import SQLiteServer

server = SQLiteServer(db_path="data.db")
server.run()

Features

• Execute SELECT, INSERT, UPDATE, DELETE queries
• Schema inspection and table listing
• Transaction support with rollback
• Query result formatting
• Safe parameterized queries

MCP Tools

query

Execute a SQL query and return results.

{
  "name": "query",
  "arguments": {
    "sql": "SELECT * FROM users WHERE age > ?",
    "params": [18]
  }
}

execute

Execute a SQL statement (INSERT, UPDATE, DELETE).

{
  "name": "execute",
  "arguments": {
    "sql": "INSERT INTO users (name, age) VALUES (?, ?)",
    "params": ["Alice", 25]
  }
}

schema

Get database schema information.

{
  "name": "schema",
  "arguments": {
    "table": "users"
  }
}

tables

List all tables in the database.

{
  "name": "tables",
  "arguments": {}
}

Configuration

server = SQLiteServer(
    db_path="data.db",
    read_only=False,
    max_rows=1000
)

Examples

Running as MCP server

python -m mcpsqlite --db data.db --port 8080

Claude Desktop configuration

{
  "mcpServers": {
    "sqlite": {
      "command": "python",
      "args": ["-m", "mcpsqlite", "--db", "data.db"]
    }
  }
}

License

MIT