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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

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MCP cerver to let claude use llamacpp. Uses API.

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