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Mcp Sqlite Client
What is Mcp Sqlite Client
mcp-sqlite-client is a simple command-line client designed for interacting with an MCP SQLite server, allowing users to engage with SQLite databases using natural language through OpenRouter’s LLM API.
Use cases
Use cases include querying databases for information, generating reports based on database content, and educational purposes for teaching database interactions using natural language.
How to use
To use mcp-sqlite-client, first clone the repository, set up a virtual environment, install the required dependencies, and configure the MCP SQLite server. After setting up, run the client using Python to start an interactive chat session with the database.
Key features
Key features include natural language processing capabilities for querying SQLite databases, easy installation and setup, and support for multiple sample databases like Chinook and Northwind.
Where to use
mcp-sqlite-client can be used in various fields such as data analysis, education, and application development, where users need to interact with SQLite databases in a user-friendly manner.
Clients Supporting MCP
The following are the main client software that supports the Model Context Protocol. Click the link to visit the official website for more information.
Overview
What is Mcp Sqlite Client
mcp-sqlite-client is a simple command-line client designed for interacting with an MCP SQLite server, allowing users to engage with SQLite databases using natural language through OpenRouter’s LLM API.
Use cases
Use cases include querying databases for information, generating reports based on database content, and educational purposes for teaching database interactions using natural language.
How to use
To use mcp-sqlite-client, first clone the repository, set up a virtual environment, install the required dependencies, and configure the MCP SQLite server. After setting up, run the client using Python to start an interactive chat session with the database.
Key features
Key features include natural language processing capabilities for querying SQLite databases, easy installation and setup, and support for multiple sample databases like Chinook and Northwind.
Where to use
mcp-sqlite-client can be used in various fields such as data analysis, education, and application development, where users need to interact with SQLite databases in a user-friendly manner.
Clients Supporting MCP
The following are the main client software that supports the Model Context Protocol. Click the link to visit the official website for more information.
Content
MCP SQLite Client
A simple command-line client for interacting with an MCP SQLite server. This client enables natural language interaction with SQLite databases through OpenRouter’s LLM API.
Installation
Prerequisites
- Python 3.8 or higher
- pip (Python package installer)
Setup Steps
-
Create a project directory:
git clone https://github.com/calvinw/mcp-sqlite-client.git cd mcp-sqlite-client -
Create and activate a virtual environment:
python -m venv venv source venv/bin/activate -
Install the required dependencies:
Then install from the requirements file:
pip install -r requirements.txt -
Install the MCP SQLite server:
pip install mcp-server-sqlite -
Download a sample SQLite database:
# For Chinook database curl -L https://github.com/lerocha/chinook-database/raw/master/ChinookDatabase/DataSources/Chinook_Sqlite.sqlite -o chinook.db # For Northwind database git clone https://github.com/jpwhite3/northwind-SQLite3.git cp northwind-SQLite3/northwind.db . # For Superheroes database (optional) git clone https://github.com/codecrafters-io/sample-sqlite-databases.git cp sample-sqlite-databases/superheroes.db . -
Create a configuration file:
Create a file namedservers_config.jsonwith the following content:{ "mcpServers": { "sqlite": { "command": "mcp-server-sqlite", "args": [ "--db-path", "./chinook.db" ] } } } -
Set up your API key:
Create a.envfile in the project directory:OPENROUTER_API_KEY=your_openrouter_api_key_here
Usage
Run the client using Python:
python mcp_client.py
This will start an interactive chat session where you can ask questions about the database in natural language.
For the chinook.db you can use these examples:
Example queries:
- “What tables are in this database?”
- “How many albums are there in total?”
- “Show me the artists with the most albums”
- “List all employees and their hire dates”
Type ‘exit’ or ‘quit’ to end the session.
Customizing the Database
To use a different SQLite database, modify the --db-path in the servers_config.json file to point to your desired database file.
Troubleshooting
If you encounter issues:
-
MCP-Server-SQLite not found: Ensure that the package is correctly installed and the command is available in your PATH.
which mcp-server-sqlite -
API Key issues: Verify that your
.envfile contains the correct API key and is in the same directory as the script. -
Connection issues: Check that the database file exists and is readable at the path specified in
servers_config.json.
License
Dev Tools Supporting MCP
The following are the main code editors that support the Model Context Protocol. Click the link to visit the official website for more information.










