SQLite MCP Server
This repository contains an MCP (Model Context Protocol) server written in Python that connects to a SQLite database containing startup funding data. The server exposes table schemas as resources, provides a read-only SQL query tool, and offers prompt templates for common data analysis tasks. It is designed to work with MCP clients and language models (LLMs) and communicates via the STDIO protocol.
Table of Contents
- [Overview](#overview)
- [Features](#features)
- [Setup and Installation](#setup-and-installation) - [Creating the Sample SQLite Database](#creating-the-sample-sqlite-database) - [Creating a Virtual Environment](#creating-a-virtual-environment) - [Running the MCP Server](#running-the-mcp-server) - [Installing into Claude Desktop](#installing-into-claude-desktop)
- [Usage](#usage)
- [Testing](#testing)
- [Logging](#logging)
- [License](#license)
Overview
The MCP server uses the [MCP Python SDK](https://pypi.org/project/mcp/) (with CLI extras) to implement a server that:
- **Connects to a SQLite database** (e.g., a database with startup funding information).
- **Exposes table schemas as MCP resources.**
- **Provides a tool for executing read-only SQL queries.**
- **Offers prompt templates** that help language models generate data analysis insights.
- **Communicates via the STDIO protocol**, reading JSON-RPC messages from standard input and writing responses to standard output.
Features
- **Resources** - `schema://sqlite/{table}`: Returns the SQL schema for a specific table. - `schema://sqlite/all`: Returns a JSON mapping of all table schemas.
- **Tools** - `sql_query`: Executes read-only SQL queries. Only `SELECT` statements are permitted.
- **Prompts** - `analyze_table_prompt`: Generates an analysis prompt for a specific table. - `describe_query_prompt`: Generates a prompt explaining a SQL query.
- **STDIO Protocol** - Reads from `stdin` and writes responses to `stdout`, making integration easy.
- **Logging** - Uses Python s `logging` module to trace activity and debug errors.
Setup and Installation
Creating the Sample SQLite Database
Save the following script as `create_db.py`:
Run with:
Creating a Virtual Environment
Activate the environment:
- **macOS/Linux**: ```bash source venv/bin/activate ```
- **Windows**: ```cmd venv\Scripts\activate ```
Install dependencies:
Running the MCP Server
- Save your server code as `sqlite_mcp_server.py`.
- Run the server:
Optional (using `uv`):
Installing into Claude Desktop
Save the following as `install_to_claude.py` and run it:
Update Claude Desktop config with:
Restart Claude Desktop afterward.
Usage
- **Access Resources**: `schema://sqlite/all`, `schema://sqlite/startups`
- **Invoke Tools**: ```sql SELECT * FROM startups WHERE funding_amount > 10000000; ```
- **Use Prompts**: Generate SQL or explain queries.
Testing
Run the test script:
This script tests:
- Listing resources
- Retrieving schemas
- Valid/invalid queries
- Prompt templates
Logging
Modify logging config:
Logs print to stderr by default.
License
This project is licensed under the MIT License. See the `LICENSE` file.
Additional Notes
- Adjust paths in installation/config scripts as needed.
- Ensure the SQLite database is created before running the server.
- Integrates with MCP Inspector or Claude Desktop.