SQL Data MCP Server
A custom MCP server that gives Claude Desktop direct access to a SQLite database, enabling natural language questions to be answered through real SQL execution.
README
SQL Data MCP Server
A custom Model Context Protocol (MCP) server that gives Claude Desktop direct access to a SQLite database — enabling natural language questions to be answered through real, live SQL execution.
What This Does
Instead of copy-pasting data into a chat, this server exposes a local SQLite database as a set of tools Claude can call directly. Ask a question in plain English, and Claude decides which tool to use, writes the SQL, executes it against the real database, and returns the results.
Tools Exposed
list_tables()— Lists all tables in the databasedescribe_table(table_name)— Shows column names and types for a given tablerun_query(sql)— Executes a read-only SELECT query and returns the results
Tech Stack
- Python with the official
mcpSDK (FastMCP) - SQLite for the local database
- Claude Desktop as the MCP Host
How It Works
Claude Desktop is configured (via claude_desktop_config.json) to launch this server as a subprocess. Each Python function decorated with @mcp.tool() is automatically exposed to Claude — the decorator reads the function's name, type hints, and docstring to build the tool schema, so no manual JSON schema writing is required.
When a user asks a question, Claude reasons about which tool to call, requests permission to run it, executes it, and uses the real result to answer — genuine tool use, not a simulated response.
Setup
- Clone this repo
- Install dependencies:
pip install -r requirements.txt - Build the database:
python create_db.py - Add this server to your
claude_desktop_config.json:
{
"mcpServers": {
"sql-data-server": {
"command": "/path/to/python.exe",
"args": ["/path/to/server.py"]
}
}
}
- Fully restart Claude Desktop
- Ask Claude a question about your data — e.g. "What tables are available, and what's the average purchase amount by customer segment?"
Note on Paths
server.py computes the database path relative to its own file location (os.path.dirname(os.path.abspath(__file__))) rather than assuming a working directory — this ensures it works correctly regardless of what directory the MCP Host launches the process from.
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