Desktop LLM client for local and remote models
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Tome is a desktop application designed to simplify the use of Large Language Models (LLMs) and the Model Context Protocol (MCP) for a broad audience, from beginners to experienced users. It provides a user-friendly interface for interacting with local or remote LLMs and connecting them to various tools (MCP servers) for automated tasks and enhanced capabilities, aiming to make LLM technology more accessible and integrated into daily workflows.
How It Works
Tome acts as a central hub, abstracting away the complexities of LLM and MCP server management. Users can connect to diverse LLM providers, including local options like Ollama and remote services like OpenAI and Gemini. The application features a dedicated UI for discovering, installing, and managing MCP servers from the Smithery.ai registry, enabling LLMs to access external tools such as search engines and APIs. This approach prioritizes ease of use, allowing users to leverage LLM capabilities without deep technical configuration.
Quick Start & Requirements
uvx mcp-server-fetch
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Maintenance & Community
Licensing & Compatibility
Limitations & Caveats
5 days ago
Inactive