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Mcp Sqlite3

daedalus/mcp-sqlite3
1STDIOregistry active
Summary

This server wraps Python's sqlite3 library and exposes it through MCP tools. You get connection management (connect, close, commit, rollback), direct SQL execution (execute_query, execute_many, execute_script), schema inspection (list_tables, get_table_info), and convenience CRUD operations for common database tasks. Reach for this when you want Claude to interact with SQLite databases without writing custom integration code. It handles the full lifecycle from opening connections to running queries to managing transactions. The tool set is comprehensive enough for both quick data queries and more complex database operations.

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Make your agent a DeFi expert
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Agent, run crypto. Access onchain data & trade routes via 1inch.
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mcp-sqlite3

MCP server exposing sqlite3 library functionality

PyPI Python Ruff

Install

pip install mcp-sqlite3

Usage

from mcp_sqlite3 import mcp_server

mcp_server.run()

CLI

mcp-sqlite3 --help

API

Exposes complete sqlite3 functionality as MCP tools.

Connection Tools

  • connect_database - Open a database connection
  • close_connection - Close a database connection
  • commit / rollback - Transaction control

SQL Execution Tools

  • execute_query - Execute a query and return results
  • execute_many - Execute with multiple parameter sets
  • execute_script - Execute a SQL script

Schema Tools

  • list_tables - List all tables
  • get_table_info - Get table schema
  • create_table / drop_table - DDL operations

CRUD Tools

  • insert_row / update_rows / delete_rows / select_rows

Development

git clone https://github.com/daedalus/mcp-sqlite3.git
cd mcp-sqlite3
pip install -e ".[test]"

# run tests
pytest

# format
ruff format src/ tests/

# lint
ruff check src/ tests/

# type check
mypy src/

MCP Server

mcp-name: io.github.daedalus/mcp-sqlite3

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Context.devContext.dev
Context.dev
Integrate web data into your AI product. One API to scrape website & brand data.
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Registryactive
Packagemcp-sqlite3
TransportSTDIO
UpdatedMar 31, 2026
View on GitHub