# Local LLM

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.

Ollama MCP Server is a protocol server that connects local Ollama LLM models with MCP - compatible applications, providing functions such as model management and conversation interaction.

Nano Agent is an experimental small engineering proxy MCP server that supports multi-provider LLM models, used to test and compare the proxy capabilities of cloud and local LLMs in terms of performance, speed, and cost. The project includes a multi-model evaluation system, a nested agent architecture, and a unified tool interface, supporting providers such as OpenAI, Anthropic, and Ollama.

The project describes the usage process of a local LLM server, including starting an OpenAI SDK - compatible model (such as Jan), configuring the .env file, and running a Node application. The focus is on restricting file access permissions through the MCP service.

An MCP server that enhances local LLM services, providing functions such as web text scraping, link extraction, and web search.

Ollama Chat with MCP is a project that demonstrates how to integrate a local language model with real-time web search functionality through the Model Context Protocol (MCP). It includes an MCP web search server, a terminal client, and a Gradio-based web front-end, enabling locally run LLMs to access external tools and data sources.

The Unity MCP and Ollama integration package enables seamless communication between Unity and local large language models, supporting asset management and editor automation.

The Ollama MCP Server is a bridge tool that connects the local large language models of Ollama and the Model Context Protocol (MCP). It provides complete API integration, model management, and execution functions, and supports OpenAI - compatible chat interfaces and visual multimodal models.

MCP LLM Bridge is a bridge tool to connect the Model Context Protocol (MCP) server with OpenAI-compatible LLMs (such as Ollama).

The Local MCP Client is a cross - platform web and API interface tool that interacts with configurable MCP servers through natural language, supports local LLM models and Ollama, and enables structured tool execution and dynamic proxy behavior.

The Ollama MCP Server is a powerful bridge that seamlessly integrates Ollama with the Model Context Protocol (MCP), enabling Ollama's local LLM capabilities to be easily incorporated into MCP - driven applications.

An MCP server tool that connects Claude with large language models running in local LM Studio

A deep research MCP service based on Ollama, realizing automated web search and knowledge synthesis through local LLM models

A template repository containing a development container for running a local LLM and knowledge base, supporting the addition of git repositories via git subtree or git submodule and updates through the MCP client/server relationship (e.g., VS Code extensions and the Obsidian - MCP server).