SQLite

You can run the SQLite MCP Server to explore SQLite databases, run safe read/write queries, and perform statistical analyses. It exposes structured resources to inspect schemas, query data, and analyze table contents, all through the MCP interface so you can integrate with your preferred MCP client.

How to use

Your MCP client connects to the SQLite MCP Server to perform practical data tasks. Start by pointing your client at the server, then use the available resources to list tables, view table schemas, run queries, and analyze data. You can perform read-only queries to explore data, or execute safe data modifications when you need to update records. Use the analyze tools to obtain row counts, null counts, and basic to detailed statistics across numeric and categorical columns.

How to install

Prerequisites: make sure you have Python 3.8 or higher and an SQLite database file ready.

Install the required Python packages.

pip install mcp pandas

Download the SQLite MCP server script.

curl -O https://raw.githubusercontent.com/yourusername/sqlite-mcp/main/sqlite_mcp.py

For Claude Desktop integration, install the MCP server using the CLI and provide the path to your database with an environment variable.

mcp install sqlite_mcp.py --name "SQLite Explorer" --env DB_PATH=/path/to/your/database.sqlite

Optionally, when you configure Claude Desktop, you can add a configuration entry similar to this to point to your local Python runtime and the server script.

"sqlite_mcp": {
  "command": "C:\\path\\to\\python.exe",
  "args": [
    "C:\\path\\to\\sqlite-mcp\\server.py"
  ]
}

Additional sections

Security and error handling are built into the server. It validates inputs, separates read-only queries from data-modifying operations, handles database connection errors gracefully, and protects against SQL injection through parameterized queries. If you run into issues, the server provides clear error messages for common problems such as database connection failures, invalid SQL, missing tables, permission issues, and type mismatches.

The server exposes a set of MCP resources and tools you can use to inspect schemas, query data, and analyze tables. Practical usage patterns include listing available tables, viewing detailed table schemas, executing controlled queries, and performing basic or detailed statistical analyses on table data.

Available tools

schema_tables

List all available tables in the connected SQLite database.

schema_table

Return detailed schema information for a specific table, including columns and constraints.

query

Execute read-only SQL queries against the database and return results.

update_data

Perform data modifications such as INSERT, UPDATE, or DELETE with safe handling.

analyze_table

Perform statistical analysis on table data, with basic or detailed options to summarize row counts, null counts, and numeric statistics.