MCP Client For Ollama MCP Server

A simple yet powerful Python client for interacting with Model Context Protocol (MCP) servers using Ollama, allowing you to harness local LLMs for advanced tool

The short version

MCP Client for Ollama (ollmcp) is a modern, interactive terminal application (TUI) built for harness engineering, connecting local Ollama LLMs to one or more Model Context Protocol (MCP) servers. By fully supporting the core MCP primitives (tools, prompts, and resources), it provides a controlled terminal space where you steer, and the agent executes. With a rich, user-friendly interface, it lets you safely manage your setup in real time with no coding required. Whether you're building, testing, or exploring, this client streamlines your workflow with features like fuzzy autocomplete, advanced model

• 🤖 Agent Mode: Iterative tool execution when models request multiple tool calls, with a configurable loop limit and interactive choices when the limit is reached (continue, wrap up, or abort)
• 🌐 Multi-Server Support: Connect to multiple MCP servers simultaneously
• 🚀 Multiple Transport Types: Supports STDIO, SSE, and Streamable HTTP server connections
• 📋 MCP Prompts Support: Browse, invoke, and manage prompts from MCP servers with argument collection, preview, and safe rollback
• 📦 MCP Resources Support: Browse and read contextual data from MCP servers including files, documents, and structured data
• ☁️ Ollama Cloud Support: Works seamlessly with Ollama Cloud models for tool calling, enabling access to powerful cloud-hosted models while using local MCP tools

What it needs from you

• Python 3.11+ (Installation guide) - Ollama running locally (Installation guide) - After installation, run ollama list to see available models. If no models are installed, you can pull one using ollama pull <model_name>. For example, ollama pull gemma4:latest. - UV package manager ([Installation

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