LibreModel MCP Server

LibreModel MCP Server 🤖

A Model Context Protocol (MCP) server that bridges Claude Desktop with your local LLM instance running via llama-server.

Features

💬 Full conversation support with Local Model through Claude Desktop
🎛️ Complete parameter control (temperature, max_tokens, top_p, top_k)
✅ Health monitoring and server status checks
🧪 Built-in testing tools for different capabilities
📊 Performance metrics and token usage tracking
🔧 Easy configuration via environment variables

Quick Start

npm install @openconstruct/llama-mcp-server

A Model Context Protocol (MCP) server that bridges Claude Desktop with your local LLM instance running via llama-server.

Features

💬 Full conversation support with LibreModel through Claude Desktop
🎛️ Complete parameter control (temperature, max_tokens, top_p, top_k)
✅ Health monitoring and server status checks
🧪 Built-in testing tools for different capabilities
📊 Performance metrics and token usage tracking
🔧 Easy configuration via environment variables

Quick Start

1. Install Dependencies

cd llama-mcp
npm install

2. Build the Server

npm run build

3. Start Your LibreModel

Make sure llama-server is running with your model:

./llama-server -m lm37.gguf -c 2048 --port 8080

4. Configure Claude Desktop

Add this to your Claude Desktop configuration (~/.config/claude/claude_desktop_config.json):

{
  "mcpServers": {
    "libremodel": {
      "command": "node",
      "args": ["/home/jerr/llama-mcp/dist/index.js"]
    }
  }
}

5. Restart Claude Desktop

Claude will now have access to LibreModel through MCP!

Usage

Once configured, you can use these tools in Claude Desktop:

💬 `chat` - Main conversation tool

Use the chat tool to ask LibreModel: "What is your name and what can you do?"

🧪 `quick_test` - Test LibreModel capabilities

Run a quick_test with type "creative" to see if LibreModel can write poetry

🏥 `health_check` - Monitor server status

Use health_check to see if LibreModel is running properly

Configuration

Set environment variables to customize behavior:

export LLAMA_SERVER_URL="http://localhost:8080"  # Default llama-server URL

Available Tools

Tool	Description	Parameters
`chat`	Converse with MOdel	`message`, `temperature`, `max_tokens`, `top_p`, `top_k`, `system_prompt`
`quick_test`	Run predefined capability tests	`test_type` (hello/math/creative/knowledge)
`health_check`	Check server health and status	None

Resources

Configuration: View current server settings
Instructions: Detailed usage guide and setup instructions

Development

# Install dependencies
npm install # LibreModel MCP Server 🤖

A Model Context Protocol (MCP) server that bridges Claude Desktop with your local LLM instance running via llama-server.

## Features

- 💬 **Full conversation support** with LibreModel through Claude Desktop
- 🎛️ **Complete parameter control** (temperature, max_tokens, top_p, top_k)
- ✅ **Health monitoring** and server status checks
- 🧪 **Built-in testing tools** for different capabilities
- 📊 **Performance metrics** and token usage tracking
- 🔧 **Easy configuration** via environment variables

## Quick Start

### 1. Install Dependencies

```bash
cd llama-mcp
npm install

2. Build the Server

npm run build

3. Start Your LibreModel

Make sure llama-server is running with your model:

./llama-server -m lm37.gguf -c 2048 --port 8080

4. Configure Claude Desktop

Add this to your Claude Desktop configuration (~/.config/claude/claude_desktop_config.json):

{
  "mcpServers": {
    "libremodel": {
      "command": "node",
      "args": ["/home/jerr/llama-mcp/dist/index.js"]
    }
  }
}

5. Restart Claude Desktop

Claude will now have access to LibreModel through MCP!

Usage

Once configured, you can use these tools in Claude Desktop:

💬 `chat` - Main conversation tool

Use the chat tool to ask LibreModel: "What is your name and what can you do?"

🧪 `quick_test` - Test LibreModel capabilities

Run a quick_test with type "creative" to see if LibreModel can write poetry

🏥 `health_check` - Monitor server status

Use health_check to see if LibreModel is running properly

Configuration

Set environment variables to customize behavior:

export LLAMA_SERVER_URL="http://localhost:8080"  # Default llama-server URL

Available Tools

Tool	Description	Parameters
`chat`	Converse with MOdel	`message`, `temperature`, `max_tokens`, `top_p`, `top_k`, `system_prompt`
`quick_test`	Run predefined capability tests	`test_type` (hello/math/creative/knowledge)
`health_check`	Check server health and status	None

Resources

Configuration: View current server settings
Instructions: Detailed usage guide and setup instructions

Development

# Install dependencies
npm install openconstruct/llama-mcp-server


# Development mode (auto-rebuild)
npm run dev

# Build for production
npm run build

# Start the server directly
npm start

Architecture

Claude Desktop ←→ LLama MCP Server ←→ llama-server API ←→ Local Model

The MCP server acts as a bridge, translating MCP protocol messages into llama-server API calls and formatting responses for Claude Desktop.

Troubleshooting

"Cannot reach LLama server"

Ensure llama-server is running on the configured port
Check that the model is loaded and responding
Verify firewall/network settings

"Tool not found in Claude Desktop"

Restart Claude Desktop after configuration changes
Check that the path to index.js is correct and absolute
Verify the MCP server builds without errors

Poor response quality

Adjust temperature and sampling parameters
Try different system prompts

License

CC0-1.0 - Public Domain. Use freely!

Built with ❤️ for open-source AI and the LibreModel project. by Claude Sonnet4

Development mode (auto-rebuild)

npm run dev

Build for production

npm run build

Start the server directly

npm start

## Architecture

Claude Desktop ←→ LLama MCP Server ←→ llama-server API ←→ Local Model

The MCP server acts as a bridge, translating MCP protocol messages into llama-server API calls and formatting responses for Claude Desktop.

## Troubleshooting

**"Cannot reach LLama server"**
- Ensure llama-server is running on the configured port
- Check that the model is loaded and responding
- Verify firewall/network settings

**"Tool not found in Claude Desktop"**
- Restart Claude Desktop after configuration changes
- Check that the path to `index.js` is correct and absolute
- Verify the MCP server builds without errors

**Poor response quality**
- Adjust temperature and sampling parameters
- Try different system prompts

## License

CC0-1.0 - Public Domain. Use freely!

---

Built with ❤️ for open-source AI and the LibreModel project. by Claude Sonnet4

### 1. Install Dependencies

```bash
cd llama-mcp
npm install

2. Build the Server

npm run build

3. Start Your LibreModel

Make sure llama-server is running with your model:

./llama-server -m lm37.gguf -c 2048 --port 8080

4. Configure Claude Desktop

Add this to your Claude Desktop configuration (~/.config/claude/claude_desktop_config.json):

{
  "mcpServers": {
    "libremodel": {
      "command": "node",
      "args": ["/home/jerr/llama-mcp/dist/index.js"]
    }
  }
}

5. Restart Claude Desktop

Claude will now have access to LibreModel through MCP!

Usage

Once configured, you can use these tools in Claude Desktop:

💬 `chat` - Main conversation tool

Use the chat tool to ask LibreModel: "What is your name and what can you do?"

🧪 `quick_test` - Test LibreModel capabilities

Run a quick_test with type "creative" to see if LibreModel can write poetry

🏥 `health_check` - Monitor server status

Use health_check to see if LibreModel is running properly

Configuration

Set environment variables to customize behavior:

export LLAMA_SERVER_URL="http://localhost:8080"  # Default llama-server URL

Available Tools

Tool	Description	Parameters
`chat`	Converse with MOdel	`message`, `temperature`, `max_tokens`, `top_p`, `top_k`, `system_prompt`
`quick_test`	Run predefined capability tests	`test_type` (hello/math/creative/knowledge)
`health_check`	Check server health and status	None

Resources

Configuration: View current server settings
Instructions: Detailed usage guide and setup instructions

Development

# Install dependencies
npm install

# Development mode (auto-rebuild)
npm run dev

# Build for production
npm run build

# Start the server directly
npm start

Architecture

Claude Desktop ←→ LLama MCP Server ←→ llama-server API ←→ Local Model

The MCP server acts as a bridge, translating MCP protocol messages into llama-server API calls and formatting responses for Claude Desktop.

Troubleshooting

"Cannot reach LLama server"

Ensure llama-server is running on the configured port
Check that the model is loaded and responding
Verify firewall/network settings

"Tool not found in Claude Desktop"

Restart Claude Desktop after configuration changes
Check that the path to index.js is correct and absolute
Verify the MCP server builds without errors

Poor response quality

Adjust temperature and sampling parameters
Try different system prompts

License

CC0-1.0 - Public Domain. Use freely!

Built with ❤️ for open-source AI and the LibreModel project. by Claude Sonnet4

Deploy Server

HTTP connection URL

security - not tested

license - not found

quality - not tested

How are these scores calculated?

local-only server

The server can only run on the client's local machine because it depends on local resources.

Tools

Bridges Claude Desktop with local LLM instances running via llama-server, enabling full conversation support with complete parameter control and health monitoring. Allows users to chat with their local models directly through Claude Desktop with configurable sampling parameters.

Related MCP Servers

Ollama MCP Server
rawveg
-
security
A
license
-
quality
Enables seamless integration between Ollama's local LLM models and MCP-compatible applications, supporting model management and chat interactions.
Last updated -
69
98
AGPL 3.0
Claude-LMStudio Bridge
infinitimeless
-
security
F
license
-
quality
An MCP server that allows Claude to interact with local LLMs running in LM Studio, providing access to list models, generate text, and use chat completions through local models.
Last updated -
10
LMStudio-MCP
infinitimeless
-
security
A
license
-
quality
A bridge that allows Claude to communicate with locally running LLM models via LM Studio, enabling users to leverage their private models through Claude's interface.
Last updated -
109
MIT License
LlamaCloud MCP Server
run-llama
-
security
A
license
-
quality
A local MCP server that integrates with Claude Desktop, enabling RAG capabilities to provide Claude with up-to-date private information from custom LlamaCloud indices.
Last updated -
198
MIT License

View all related MCP servers