mirror of
https://github.com/trycua/computer.git
synced 2026-01-04 04:19:57 -06:00
Merge pull request #493 from YeIIcw/docs/mcp-server-locally
Add Local Desktop Mode for MCP Server with updated docs
This commit is contained in:
Adam
@@ -6,6 +6,67 @@ title: Client Integrations
|
||||
|
||||
To use with Claude Desktop, add an entry to your Claude Desktop configuration (`claude_desktop_config.json`, typically found in `~/.config/claude-desktop/`):
|
||||
|
||||
### Package Installation Method
|
||||
|
||||
```json
|
||||
{
|
||||
"mcpServers": {
|
||||
"cua-agent": {
|
||||
"command": "/bin/bash",
|
||||
"args": ["~/.cua/start_mcp_server.sh"],
|
||||
"env": {
|
||||
"CUA_MODEL_NAME": "anthropic/claude-sonnet-4-20250514",
|
||||
"ANTHROPIC_API_KEY": "your-anthropic-api-key-here",
|
||||
"CUA_MAX_IMAGES": "3",
|
||||
"CUA_USE_HOST_COMPUTER_SERVER": "false"
|
||||
}
|
||||
}
|
||||
}
|
||||
}
|
||||
```
|
||||
|
||||
### Development Method
|
||||
|
||||
If you're working with the CUA source code:
|
||||
|
||||
**Standard VM Mode:**
|
||||
```json
|
||||
{
|
||||
"mcpServers": {
|
||||
"cua-agent": {
|
||||
"command": "/usr/bin/env",
|
||||
"args": [
|
||||
"bash", "-lc",
|
||||
"export CUA_MODEL_NAME='anthropic/claude-sonnet-4-20250514'; export ANTHROPIC_API_KEY='your-anthropic-api-key-here'; /path/to/cua/libs/python/mcp-server/scripts/start_mcp_server.sh"
|
||||
]
|
||||
}
|
||||
}
|
||||
}
|
||||
```
|
||||
|
||||
**Host Computer Control Mode:**
|
||||
```json
|
||||
{
|
||||
"mcpServers": {
|
||||
"cua-agent": {
|
||||
"command": "/usr/bin/env",
|
||||
"args": [
|
||||
"bash", "-lc",
|
||||
"export CUA_MODEL_NAME='anthropic/claude-sonnet-4-20250514'; export ANTHROPIC_API_KEY='your-anthropic-api-key-here'; export CUA_USE_HOST_COMPUTER_SERVER='true'; export CUA_MAX_IMAGES='1'; /path/to/cua/libs/python/mcp-server/scripts/start_mcp_server.sh"
|
||||
]
|
||||
}
|
||||
}
|
||||
}
|
||||
```
|
||||
|
||||
**Note**: Replace `/path/to/cua` with the absolute path to your CUA repository directory.
|
||||
|
||||
**⚠️ Host Computer Control Setup**: When using `CUA_USE_HOST_COMPUTER_SERVER='true'`, you must also:
|
||||
1. Install computer server dependencies: `python3 -m pip install uvicorn fastapi`
|
||||
2. Install the computer server: `python3 -m pip install -e libs/python/computer-server --break-system-packages`
|
||||
3. Start the computer server: `python -m computer_server --log-level debug`
|
||||
4. The AI will have direct access to your desktop - use with caution!
|
||||
|
||||
For more information on MCP with Claude Desktop, see the [official MCP User Guide](https://modelcontextprotocol.io/quickstart/user).
|
||||
|
||||
## Cursor Integration
|
||||
@@ -15,6 +76,43 @@ To use with Cursor, add an MCP configuration file in one of these locations:
|
||||
- **Project-specific**: Create `.cursor/mcp.json` in your project directory
|
||||
- **Global**: Create `~/.cursor/mcp.json` in your home directory
|
||||
|
||||
Example configuration for Cursor:
|
||||
|
||||
```json
|
||||
{
|
||||
"mcpServers": {
|
||||
"cua-agent": {
|
||||
"command": "/bin/bash",
|
||||
"args": ["~/.cua/start_mcp_server.sh"],
|
||||
"env": {
|
||||
"CUA_MODEL_NAME": "anthropic/claude-sonnet-4-20250514",
|
||||
"ANTHROPIC_API_KEY": "your-anthropic-api-key-here"
|
||||
}
|
||||
}
|
||||
}
|
||||
}
|
||||
```
|
||||
|
||||
After configuration, you can simply tell Cursor's Agent to perform computer tasks by explicitly mentioning the CUA agent, such as "Use the computer control tools to open Safari."
|
||||
|
||||
For more information on MCP with Cursor, see the [official Cursor MCP documentation](https://docs.cursor.com/context/model-context-protocol).
|
||||
|
||||
## Other MCP Clients
|
||||
|
||||
The MCP server is compatible with any MCP-compliant client. The server exposes the following tools:
|
||||
|
||||
- `run_cua_task` - Execute single computer tasks
|
||||
- `run_multi_cua_tasks` - Execute multiple tasks (sequential or concurrent)
|
||||
- `screenshot_cua` - Capture screenshots
|
||||
- `get_session_stats` - Monitor session statistics
|
||||
- `cleanup_session` - Manage session lifecycle
|
||||
|
||||
### Configuration Options
|
||||
|
||||
All MCP clients can configure the server using environment variables:
|
||||
|
||||
- `CUA_MODEL_NAME` - Model to use for task execution
|
||||
- `CUA_MAX_IMAGES` - Maximum images to keep in context
|
||||
- `CUA_USE_HOST_COMPUTER_SERVER` - Use host system instead of VM
|
||||
|
||||
See the [Configuration](/docs/libraries/mcp-server/configuration) page for detailed configuration options.
|
||||
|
||||
@@ -4,7 +4,66 @@ title: Configuration
|
||||
|
||||
The server is configured using environment variables (can be set in the Claude Desktop config):
|
||||
|
||||
| Variable | Description | Default |
|
||||
| ---------------- | ----------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------- | ------------------------------------ |
|
||||
| `CUA_MODEL_NAME` | Model string (e.g., "anthropic/claude-3-5-sonnet-20241022", "openai/computer-use-preview", "huggingface-local/ByteDance-Seed/UI-TARS-1.5-7B", "omniparser+litellm/gpt-4o", "omniparser+ollama_chat/gemma3") | anthropic/claude-3-5-sonnet-20241022 |
|
||||
| `CUA_MAX_IMAGES` | Maximum number of images to keep in context | 3 |
|
||||
| Variable | Description | Default |
|
||||
|----------|-------------|---------|
|
||||
| `CUA_MODEL_NAME` | Model string (e.g., "anthropic/claude-sonnet-4-20250514", "anthropic/claude-3-5-sonnet-20240620", "openai/computer-use-preview", "huggingface-local/ByteDance-Seed/UI-TARS-1.5-7B", "omniparser+litellm/gpt-4o", "omniparser+ollama_chat/gemma3") | anthropic/claude-sonnet-4-20250514 |
|
||||
| `ANTHROPIC_API_KEY` | Your Anthropic API key (required for Anthropic models) | None |
|
||||
| `CUA_MAX_IMAGES` | Maximum number of images to keep in context | 3 |
|
||||
| `CUA_USE_HOST_COMPUTER_SERVER` | Target your local desktop instead of a VM. Set to "true" to use your host system. **Warning:** AI models may perform risky actions. | false |
|
||||
|
||||
## Model Configuration
|
||||
|
||||
The `CUA_MODEL_NAME` environment variable supports various model providers through LiteLLM integration:
|
||||
|
||||
### Supported Providers
|
||||
- **Anthropic**: `anthropic/claude-sonnet-4-20250514`, `anthropic/claude-3-5-sonnet-20240620`, `anthropic/claude-3-haiku-20240307`
|
||||
- **OpenAI**: `openai/computer-use-preview`, `openai/gpt-4o`
|
||||
- **Local Models**: `huggingface-local/ByteDance-Seed/UI-TARS-1.5-7B`
|
||||
- **Omni + LiteLLM**: `omniparser+litellm/gpt-4o`, `omniparser+litellm/claude-3-haiku`
|
||||
- **Ollama**: `omniparser+ollama_chat/gemma3`
|
||||
|
||||
### Example Configurations
|
||||
|
||||
**Claude Desktop Configuration:**
|
||||
```json
|
||||
{
|
||||
"mcpServers": {
|
||||
"cua-agent": {
|
||||
"command": "/bin/bash",
|
||||
"args": ["~/.cua/start_mcp_server.sh"],
|
||||
"env": {
|
||||
"CUA_MODEL_NAME": "anthropic/claude-sonnet-4-20250514",
|
||||
"ANTHROPIC_API_KEY": "your-anthropic-api-key-here",
|
||||
"CUA_MAX_IMAGES": "5",
|
||||
"CUA_USE_HOST_COMPUTER_SERVER": "false"
|
||||
}
|
||||
}
|
||||
}
|
||||
}
|
||||
```
|
||||
|
||||
**Local Model Configuration:**
|
||||
```json
|
||||
{
|
||||
"mcpServers": {
|
||||
"cua-agent": {
|
||||
"command": "/bin/bash",
|
||||
"args": ["~/.cua/start_mcp_server.sh"],
|
||||
"env": {
|
||||
"CUA_MODEL_NAME": "huggingface-local/ByteDance-Seed/UI-TARS-1.5-7B",
|
||||
"CUA_MAX_IMAGES": "3"
|
||||
}
|
||||
}
|
||||
}
|
||||
}
|
||||
```
|
||||
|
||||
## Session Management Configuration
|
||||
|
||||
The MCP server automatically manages sessions with the following defaults:
|
||||
- **Max Concurrent Sessions**: 10
|
||||
- **Session Timeout**: 10 minutes of inactivity
|
||||
- **Computer Pool Size**: 5 instances
|
||||
- **Automatic Cleanup**: Enabled
|
||||
|
||||
These settings are optimized for typical usage and don't require configuration for most users.
|
||||
|
||||
@@ -7,3 +7,21 @@ github:
|
||||
---
|
||||
|
||||
**cua-mcp-server** is a MCP server for the Computer-Use Agent (CUA), allowing you to run CUA through Claude Desktop or other MCP clients.
|
||||
|
||||
## Features
|
||||
|
||||
- **Multi-Client Support**: Concurrent sessions with automatic resource management
|
||||
- **Progress Reporting**: Real-time progress updates during task execution
|
||||
- **Error Handling**: Robust error recovery with screenshot capture
|
||||
- **Concurrent Execution**: Run multiple tasks in parallel for improved performance
|
||||
- **Session Management**: Automatic cleanup and resource pooling
|
||||
- **LiteLLM Integration**: Support for multiple model providers
|
||||
- **VM Safety**: Default VM execution with optional host system control
|
||||
|
||||
## Quick Start
|
||||
|
||||
1. **Install**: `pip install cua-mcp-server`
|
||||
2. **Configure**: Add to your MCP client configuration
|
||||
3. **Use**: Ask Claude to perform computer tasks
|
||||
|
||||
See the [Installation](/docs/libraries/mcp-server/installation) guide for detailed setup instructions.
|
||||
|
||||
@@ -38,19 +38,98 @@ You can then use the script in your MCP configuration like this:
|
||||
"command": "/bin/bash",
|
||||
"args": ["~/.cua/start_mcp_server.sh"],
|
||||
"env": {
|
||||
"CUA_MODEL_NAME": "anthropic/claude-3-5-sonnet-20241022"
|
||||
"CUA_MODEL_NAME": "anthropic/claude-sonnet-4-20250514",
|
||||
"ANTHROPIC_API_KEY": "your-anthropic-api-key-here"
|
||||
}
|
||||
}
|
||||
}
|
||||
}
|
||||
```
|
||||
|
||||
**Important**: You must include your Anthropic API key for the MCP server to work properly.
|
||||
|
||||
## Development Setup
|
||||
|
||||
If you're working with the CUA source code directly (like in the CUA repository), you can use the development script instead:
|
||||
|
||||
```json
|
||||
{
|
||||
"mcpServers": {
|
||||
"cua-agent": {
|
||||
"command": "/usr/bin/env",
|
||||
"args": [
|
||||
"bash", "-lc",
|
||||
"export CUA_MODEL_NAME='anthropic/claude-sonnet-4-20250514'; export ANTHROPIC_API_KEY='your-anthropic-api-key-here'; /path/to/cua/libs/python/mcp-server/scripts/start_mcp_server.sh"
|
||||
]
|
||||
}
|
||||
}
|
||||
}
|
||||
```
|
||||
|
||||
**For host computer control** (development setup):
|
||||
|
||||
1. **Install Computer Server Dependencies**:
|
||||
```bash
|
||||
python3 -m pip install uvicorn fastapi
|
||||
python3 -m pip install -e libs/python/computer-server --break-system-packages
|
||||
```
|
||||
|
||||
2. **Start the Computer Server**:
|
||||
```bash
|
||||
cd /path/to/cua
|
||||
python -m computer_server --log-level debug
|
||||
```
|
||||
This will start the computer server on `http://localhost:8000` that controls your actual desktop.
|
||||
|
||||
3. **Configure Claude Desktop**:
|
||||
```json
|
||||
{
|
||||
"mcpServers": {
|
||||
"cua-agent": {
|
||||
"command": "/usr/bin/env",
|
||||
"args": [
|
||||
"bash", "-lc",
|
||||
"export CUA_MODEL_NAME='anthropic/claude-sonnet-4-20250514'; export ANTHROPIC_API_KEY='your-anthropic-api-key-here'; export CUA_USE_HOST_COMPUTER_SERVER='true'; export CUA_MAX_IMAGES='1'; /path/to/cua/libs/python/mcp-server/scripts/start_mcp_server.sh"
|
||||
]
|
||||
}
|
||||
}
|
||||
}
|
||||
```
|
||||
|
||||
**Note**: Replace `/path/to/cua` with the absolute path to your CUA repository directory.
|
||||
|
||||
**⚠️ Important**: When using host computer control (`CUA_USE_HOST_COMPUTER_SERVER='true'`), the AI will have direct access to your desktop and can perform actions like opening applications, clicking, typing, and taking screenshots. Make sure you're comfortable with this level of access.
|
||||
|
||||
### Troubleshooting
|
||||
|
||||
If you get a `/bin/bash: ~/cua/libs/python/mcp-server/scripts/start_mcp_server.sh: No such file or directory` error, try changing the path to the script to be absolute instead of relative.
|
||||
**Common Issues:**
|
||||
|
||||
To see the logs:
|
||||
1. **"Claude's response was interrupted"** - This usually means:
|
||||
- Missing API key: Add `ANTHROPIC_API_KEY` to your environment variables
|
||||
- Invalid model name: Use a valid model like `anthropic/claude-sonnet-4-20250514`
|
||||
- Check logs for specific error messages
|
||||
|
||||
```
|
||||
2. **"Missing Anthropic API Key"** - Add your API key to the configuration:
|
||||
```json
|
||||
"env": {
|
||||
"ANTHROPIC_API_KEY": "your-api-key-here"
|
||||
}
|
||||
```
|
||||
|
||||
3. **"model not found"** - Use a valid model name:
|
||||
- ✅ `anthropic/claude-sonnet-4-20250514`
|
||||
- ✅ `anthropic/claude-3-5-sonnet-20240620`
|
||||
- ❌ `anthropic/claude-3-5-sonnet-20241022` (doesn't exist)
|
||||
|
||||
4. **Script not found** - If you get a `/bin/bash: ~/cua/libs/python/mcp-server/scripts/start_mcp_server.sh: No such file or directory` error, try changing the path to the script to be absolute instead of relative.
|
||||
|
||||
5. **Host Computer Control Issues** - If using `CUA_USE_HOST_COMPUTER_SERVER='true'`:
|
||||
- **Computer Server not running**: Make sure you've started the computer server with `python -m computer_server --log-level debug`
|
||||
- **Port 8000 in use**: Check if another process is using port 8000 with `lsof -i :8000`
|
||||
- **Missing dependencies**: Install `uvicorn` and `fastapi` with `python3 -m pip install uvicorn fastapi`
|
||||
- **Image size errors**: Use `CUA_MAX_IMAGES='1'` to reduce image context size
|
||||
|
||||
**Viewing Logs:**
|
||||
```bash
|
||||
tail -n 20 -f ~/Library/Logs/Claude/mcp*.log
|
||||
```
|
||||
|
||||
@@ -6,5 +6,58 @@ title: Tools
|
||||
|
||||
The MCP server exposes the following tools to Claude:
|
||||
|
||||
1. `run_cua_task` - Run a single Computer-Use Agent task with the given instruction
|
||||
2. `run_multi_cua_tasks` - Run multiple tasks in sequence
|
||||
### Core Task Execution Tools
|
||||
|
||||
1. **`run_cua_task`** - Run a single Computer-Use Agent task with the given instruction
|
||||
- `task` (string): The task description for the agent to execute
|
||||
- `session_id` (string, optional): Session ID for multi-client support. If not provided, a new session will be created
|
||||
- Returns: Tuple of (combined text output, final screenshot)
|
||||
|
||||
2. **`run_multi_cua_tasks`** - Run multiple tasks in sequence or concurrently
|
||||
- `tasks` (list of strings): List of task descriptions to execute
|
||||
- `session_id` (string, optional): Session ID for multi-client support. If not provided, a new session will be created
|
||||
- `concurrent` (boolean, optional): If true, run tasks concurrently. If false, run sequentially (default)
|
||||
- Returns: List of tuples (combined text output, screenshot) for each task
|
||||
|
||||
### Utility Tools
|
||||
|
||||
3. **`screenshot_cua`** - Take a screenshot of the current screen
|
||||
- `session_id` (string, optional): Session ID for multi-client support. If not provided, a new session will be created
|
||||
- Returns: Screenshot image
|
||||
|
||||
4. **`get_session_stats`** - Get statistics about active sessions and resource usage
|
||||
- Returns: Dictionary with session statistics including total sessions, active tasks, and session details
|
||||
|
||||
5. **`cleanup_session`** - Cleanup a specific session and release its resources
|
||||
- `session_id` (string): The session ID to cleanup
|
||||
- Returns: Confirmation message
|
||||
|
||||
## Session Management
|
||||
|
||||
The MCP server supports multi-client sessions with automatic resource management:
|
||||
|
||||
- **Session Isolation**: Each client can have its own session with isolated computer instances
|
||||
- **Resource Pooling**: Computer instances are pooled for efficient resource usage
|
||||
- **Automatic Cleanup**: Idle sessions are automatically cleaned up after 10 minutes
|
||||
- **Concurrent Tasks**: Multiple tasks can run concurrently within the same session
|
||||
- **Progress Reporting**: Real-time progress updates during task execution
|
||||
|
||||
## Usage Examples
|
||||
|
||||
### Basic Task Execution
|
||||
```
|
||||
"Open Chrome and navigate to github.com"
|
||||
"Create a folder called 'Projects' on my desktop"
|
||||
```
|
||||
|
||||
### Multi-Task Execution
|
||||
```
|
||||
"Run these tasks: 1) Open Finder, 2) Navigate to Documents, 3) Create a new folder called 'Work'"
|
||||
```
|
||||
|
||||
### Session Management
|
||||
```
|
||||
"Take a screenshot of the current screen"
|
||||
"Show me the session statistics"
|
||||
"Cleanup session abc123"
|
||||
```
|
||||
|
||||
@@ -2,7 +2,7 @@
|
||||
title: Usage
|
||||
---
|
||||
|
||||
## Usage
|
||||
## Basic Usage
|
||||
|
||||
Once configured, you can simply ask Claude to perform computer tasks:
|
||||
|
||||
@@ -13,9 +13,140 @@ Once configured, you can simply ask Claude to perform computer tasks:
|
||||
|
||||
Claude will automatically use your CUA agent to perform these tasks.
|
||||
|
||||
### First-time Usage Notes
|
||||
## Advanced Features
|
||||
|
||||
### Progress Reporting
|
||||
The MCP server provides real-time progress updates during task execution:
|
||||
- Task progress is reported as percentages (0-100%)
|
||||
- Multi-task operations show progress for each individual task
|
||||
- Progress updates are streamed to the MCP client for real-time feedback
|
||||
|
||||
### Error Handling
|
||||
Robust error handling ensures reliable operation:
|
||||
- Failed tasks return error messages with screenshots when possible
|
||||
- Session state is preserved even when individual tasks fail
|
||||
- Automatic cleanup prevents resource leaks
|
||||
- Detailed error logging for troubleshooting
|
||||
|
||||
### Concurrent Task Execution
|
||||
For improved performance, multiple tasks can run concurrently:
|
||||
- Set `concurrent=true` in `run_multi_cua_tasks` for parallel execution
|
||||
- Each task runs in its own context with isolated state
|
||||
- Progress tracking works for both sequential and concurrent modes
|
||||
- Resource pooling ensures efficient computer instance usage
|
||||
|
||||
### Session Management
|
||||
Multi-client support with automatic resource management:
|
||||
- Each client gets isolated sessions with separate computer instances
|
||||
- Sessions automatically clean up after 10 minutes of inactivity
|
||||
- Resource pooling prevents resource exhaustion
|
||||
- Session statistics available for monitoring
|
||||
|
||||
## Target Computer Options
|
||||
|
||||
By default, the MCP server runs CUA in a virtual machine for safety. However, you can also configure it to run on your local system.
|
||||
|
||||
### Default: Using a VM (Recommended)
|
||||
|
||||
The MCP server will automatically start and connect to a VM based on your platform. This is the safest option as AI actions are isolated from your host system.
|
||||
|
||||
No additional configuration is needed - this is the default behavior.
|
||||
|
||||
### Option: Targeting Your Local Desktop
|
||||
|
||||
<Callout type="warn">
|
||||
**Warning:** When targeting your local system, AI models have direct access to your desktop and may perform risky actions. Use with caution.
|
||||
</Callout>
|
||||
|
||||
To have the MCP server control your local desktop instead of a VM:
|
||||
|
||||
1. **Start the Computer Server on your host:**
|
||||
|
||||
```bash
|
||||
pip install cua-computer-server
|
||||
python -m computer_server
|
||||
```
|
||||
|
||||
2. **Configure the MCP server to use your host system:**
|
||||
|
||||
Add the `CUA_USE_HOST_COMPUTER_SERVER` environment variable to your MCP client configuration:
|
||||
|
||||
<Tabs items={['Claude Desktop', 'Other MCP Clients']}>
|
||||
<Tab value="Claude Desktop">
|
||||
Update your Claude Desktop config (see [Installation](/docs/libraries/mcp-server/installation)) to include the environment variable:
|
||||
|
||||
```json
|
||||
{
|
||||
"mcpServers": {
|
||||
"cua-agent": {
|
||||
"command": "/bin/bash",
|
||||
"args": ["~/.cua/start_mcp_server.sh"],
|
||||
"env": {
|
||||
"CUA_MODEL_NAME": "anthropic/claude-3-5-sonnet-20241022",
|
||||
"CUA_USE_HOST_COMPUTER_SERVER": "true"
|
||||
}
|
||||
}
|
||||
}
|
||||
}
|
||||
```
|
||||
</Tab>
|
||||
<Tab value="Other MCP Clients">
|
||||
Set the environment variable in your MCP client configuration:
|
||||
|
||||
```bash
|
||||
export CUA_USE_HOST_COMPUTER_SERVER=true
|
||||
```
|
||||
|
||||
Then start your MCP client as usual.
|
||||
</Tab>
|
||||
</Tabs>
|
||||
|
||||
3. **Restart your MCP client** (e.g., Claude Desktop) to apply the changes.
|
||||
|
||||
Now Claude will control your local desktop directly when you ask it to perform computer tasks.
|
||||
|
||||
## Usage Examples
|
||||
|
||||
### Single Task Execution
|
||||
```
|
||||
"Open Safari and navigate to apple.com"
|
||||
"Create a new folder on the desktop called 'My Projects'"
|
||||
"Take a screenshot of the current screen"
|
||||
```
|
||||
|
||||
### Multi-Task Execution (Sequential)
|
||||
```
|
||||
"Run these tasks in order: 1) Open Finder, 2) Navigate to Documents folder, 3) Create a new folder called 'Work'"
|
||||
```
|
||||
|
||||
### Multi-Task Execution (Concurrent)
|
||||
```
|
||||
"Run these tasks simultaneously: 1) Open Chrome, 2) Open Safari, 3) Open Finder"
|
||||
```
|
||||
|
||||
### Session Management
|
||||
```
|
||||
"Show me the current session statistics"
|
||||
"Take a screenshot using session abc123"
|
||||
"Cleanup session xyz789"
|
||||
```
|
||||
|
||||
### Error Recovery
|
||||
```
|
||||
"Try to open a non-existent application and show me the error"
|
||||
"Find all files with .tmp extension and delete them safely"
|
||||
```
|
||||
|
||||
## First-time Usage Notes
|
||||
|
||||
**API Keys**: Ensure you have valid API keys:
|
||||
- Add your Anthropic API key in the Claude Desktop config (as shown above)
|
||||
- Or set it as an environment variable in your shell profile
|
||||
- **Required**: The MCP server needs an API key to authenticate with the model provider
|
||||
|
||||
- Add your Anthropic API key, or other model provider API key in the Claude Desktop config (as shown above)
|
||||
- Or set it as an environment variable in your shell profile
|
||||
**Model Selection**: Choose the appropriate model for your needs:
|
||||
- **Claude Sonnet 4**: Latest model with best performance (`anthropic/claude-sonnet-4-20250514`)
|
||||
- **Claude 3.5 Sonnet**: Reliable performance (`anthropic/claude-3-5-sonnet-20240620`)
|
||||
- **Computer-Use Preview**: Specialized for computer tasks (`openai/computer-use-preview`)
|
||||
- **Local Models**: For privacy-sensitive environments
|
||||
- **Ollama**: For offline usage
|
||||
|
||||
Reference in New Issue
Block a user