How do I install the Ollama Client?

You can install the Ollama Client by cloning the repository and using pip: `git clone ` and `pip install -e .`

What is the Ollama Client?

Ollama Client allows you to interact with your databases using natural language. It connects to language models served through Ollama to translate your questions into database queries.

Which language models are supported?

The Ollama Client supports Qwen, Llama 3, Mistral, and Gemini models served through Ollama.

How does the Ollama Client work?

It uses a Model Context Protocol (MCP) to communicate with the Database MCP Server. This enables seamless integration and execution of natural language queries on your database.

Can I configure the Ollama Client?

Yes, you can configure the client via command-line arguments or a configuration file. You can set the model, server URL, Ollama API URL, and streaming options.

Ollama Client

Name: Ollama Client
Author: georgi-terziyski

•

Enables natural language interaction with databases using language models served through Ollama.

Ollama Client provides a Model Context Protocol (MCP) client designed to facilitate communication between natural language queries and databases. It supports multiple language models served via Ollama, including Qwen, Llama 3, Mistral, and Gemini. This tool allows users to interact with databases using natural language, streamlining tasks such as querying data, creating tables, and managing database schemas. It offers real-time streaming of LLM responses and can be configured using command-line arguments or a configuration file for customized usage.

主な機能

01Supports multiple models: Qwen, Llama 3, Mistral, and Gemini

02Integrates with Database MCP Server for seamless database operations

03Offers a natural language interface for database interaction

04Configurable via command line arguments or a configuration file

05Provides real-time streaming of LLM responses

062 GitHub stars

ユースケース

01Managing database schemas through natural language

02Querying databases using natural language

03Creating database tables with natural language commands