# MCP-LLM Adapter

Adapter that connects LLM function calls to MCP tool server.

## Overview

This adapter:
- Converts LLM function calls (OpenAI format) to MCP JSON-RPC calls
- Converts MCP responses back to LLM format
- Handles tool discovery and registration
- Manages errors and retries

## Architecture

```
LLM Server (Ollama/vLLM)
    ↓ (function call)
MCP Adapter
    ↓ (JSON-RPC)
MCP Server
    ↓ (tool result)
MCP Adapter
    ↓ (function result)
LLM Server
```

## Quick Start

```bash
# Run tests
./run_test.sh

# Or manually
python test_adapter.py
```

## Usage

```python
from adapter import MCPAdapter

# Initialize adapter
adapter = MCPAdapter(mcp_server_url="http://localhost:8000/mcp")

# Discover tools
tools = adapter.discover_tools()

# Convert LLM function call to MCP call
llm_function_call = {
    "name": "weather",
    "arguments": {"location": "San Francisco"}
}
result = adapter.call_tool(llm_function_call)

# Result is in LLM format
print(result)  # "Weather in San Francisco: 72°F, sunny..."
```

## Integration

The adapter can be integrated into:
- LLM routing layer
- Direct LLM server integration
- Standalone service