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Tome

Tome is a MacOS application (support for Windows and Linux is coming soon) developed by the Runebook team. It aims to simplify the use of local large language models (LLMs) with MCP servers. By integrating Ollama and managing MCP servers, users can quickly start chatting with MCP-powered models without dealing with complex configurations.
Artificial intelligence chatbotsDeveloper tools#Local LLM#MCP tool#Model management#Rapid deployment.TypeScript
2.5 points
11.1K
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Overview

Content Details

Alternatives

What is Tome?

Tome is an application designed specifically for MacOS (support for Windows and Linux is coming soon). It aims to simplify the use of local large language models (LLMs) with MCP servers. Developed by the Runebook team, it provides an intuitive interface to manage MCP servers without the need to manually handle complex configurations or command-line tools.

How to use Tome?

After installing Tome and Ollama, simply paste the MCP server command (e.g., `uvx mcp-server-fetch`) in the MCP tab of Tome to quickly connect and start interacting with the model.

Use cases

Suitable for developers, researchers, or any users interested in local LLM and MCP technologies, especially non-technical users who want to avoid complex configurations.

Main Features

One-click MCP server management
Automatically handle the installation and configuration of MCP servers without manually operating uv/npm or editing JSON files.
Ollama integration
Supports local or remote Ollama instances for flexible model connection configuration.
User-friendly interface
A simple chat interface that lowers the technical threshold, making it easy for non-technical users to use.
Advantages
Completely local-first, giving users full control over their data
Can be used without programming or configuration experience
Supports quick switching between different MCP servers and models
Limitations
Currently only supports MacOS (other platforms are coming soon)
Relies on Ollama as the backend
There may be stability issues in the technical preview version

How to Use

Install necessary software
Download and install Tome and Ollama. Ollama can be a local or remote instance.
Install a model that supports tool calls
Install a model that supports tool calls in Ollama, such as Qwen2.5 7B or 14B.
Add an MCP server
In the MCP tab of Tome, paste the MCP server command (e.g., `uvx mcp-server-fetch`) and install it.
Start chatting
Interact with your MCP-powered model in the chat interface and try to make it perform tasks such as getting network information.

Usage Examples

Get the top story on Hacker News
Ask the model to get the current top story on Hacker News through the Fetch MCP server
Local data query
After configuring an appropriate MCP server, query information in local files or databases

Frequently Asked Questions

Which operating systems does Tome support?
How much RAM do I need to run larger models?
How can I report issues or make suggestions?

Related Resources

Tome download page
Get the latest version of the Tome application
Ollama official website
Download and manage local LLM models
Runebook Discord community
Join the community to get help and share experiences
MCP server repository
Explore more available MCP servers

Installation

Copy the following command to your Client for configuration
Note: Your key is sensitive information, do not share it with anyone.

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