Ollama MCP Client
@georgi-terziyski
About Ollama MCP Client
Overview
What is Ollama MCP Client?
Ollama MCP Client is a Model Context Protocol (MCP) client that works with language models served through Ollama. It provides a natural language interface for database operations by integrating with the Database MCP Server.
How to use Ollama MCP Client?
Install via pip install -e . after cloning the repository. Run mcp-ollama with command-line flags for model, server, and Ollama API URL, or use a config.json file in your home directory. Example: mcp-ollama --model llama3 --server http://localhost:8000 "List all tables in my database".
Key features of Ollama MCP Client
- Supports multiple Ollama models (Qwen, Llama 3, Mistral, Gemini)
- Real-time streaming of LLM responses
- Seamless integration with the Database MCP Server
- Natural language interface for database queries
- Configurable via command line or configuration file
Use cases of Ollama MCP Client
- List all tables in a database using natural language
- Query data, e.g., "Show me all users who registered in the last month"
- Create new tables with columns, e.g., "Create a products table"
- Interact with databases without writing SQL
FAQ from Ollama MCP Client
What models does Ollama MCP Client support?
It supports Qwen, Llama 3, Mistral, and Gemini models served via Ollama.
Can I specify a different Ollama server?
Yes, use the --ollama-api argument to set a custom Ollama API URL. The default is http://localhost:11434.
Is streaming supported?
Yes, streaming responses are enabled by default. You can disable them with the --stream flag.
How do I configure Ollama MCP Client?
You can use command-line arguments (--model, --server, --ollama-api, --stream) or create a config.json file in your home directory.
What license does Ollama MCP Client use?
It is licensed under MIT.
Basic information
More Other MCP clients
MCP Agent Strategy
hjlarryHyper Mcp Terminal
bigsweetpotatostudio
Banks to AI
upx.comBanks to AI gives any MCP-compatible agent (Claude, Cursor, or your own) secure, read-only access to real bank data — 12,000+ financial institutions across the US, Canada and beyond. How it works: authenticate via OAuth
MCP Connect
EvalsOneEnables cloud-based AI services to access local Stdio based MCP servers via HTTP requests
MCPChatbot Example
keli-wenA chatbot implementation compatible with MCP (terminal / streamlit supported)
Comments