Tome
Tome is a cross-platform MacOS application designed to manage local LLMs and MCP servers seamlessly, with upcoming support for Windows and Linux. It simplifies connecting to Ollama and MCP servers, allowing users to chat with MCP-powered models effortlessly without dealing with complex configurations or JSON files. Built by Runebook, Tome provides a user-friendly interface to enhance AI model management and interaction.
Added on:
Created by:
Apr 25 2025
Tome is a cross-platform MacOS application designed to manage local LLMs and MCP servers seamlessly, with upcoming support for Windows and Linux. It simplifies connecting to Ollama and MCP servers, allowing users to chat with MCP-powered models effortlessly without dealing with complex configurations or JSON files. Built by Runebook, Tome provides a user-friendly interface to enhance AI model management and interaction.
Added on:
Created by:
Apr 25 2025
Runebook
Featured
What is Tome?
Tome is a specialized desktop application that enables users to efficiently manage and interact with local large language models (LLMs) and MCP servers. It streamlines the process of connecting to various servers and models, specifically integrating with Ollama, and offers a straightforward way to chat with MCP-powered models. The tool eliminates the need for manual configuration, providing an intuitive interface for seamless operation. Currently available on MacOS with plans to expand to Windows and Linux, Tome targets hobbyists, developers, and AI enthusiasts seeking easy accessibility and control over their local AI models. Its functionality supports model management, server integration, and interactive chatting, making it a comprehensive tool for AI model users.
Who will use Tome?
- AI developers
- Hobbyists in machine learning
- Researchers integrating local LLMs
- Content creators using AI tools
- Tinkerers exploring MCP Server connections
How to use the Tome?
- Step1: Install Tome and Ollama on your supported OS
- Step2: Launch Tome and configure your MCP server by pasteing its command or URL
- Step3: Connect to a supported local or remote LLM model through the MCP interface
- Step4: Start chatting with your MCP-powered model via the Tome interface
Tome's Core Features & Benefits
The Core Features
- Manage multiple MCP servers
- Connect to local and remote LLM models
- User-friendly chat interface
- Seamless MCP server integration
- Supports Ollama for model management
The Benefits
- Simplifies model and server management
- No need for complex JSON configurations
- Provides quick access to MCP models
- Enhances user experience with an intuitive interface
- Supports local-first AI workflows
Tome's Main Use Cases & Applications
- Managing and connecting to MCP servers for AI research
- Local AI model deployment and interaction
- Developing custom applications with MCP integration
- Educational purposes and AI experimentation
FAQs of Tome
Developer
- runebookai
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