STDIO MCP bridge client for Drunk AI Proxy
Project description
Drunk MCP Client (STDIO)
A stdio MCP client that connects to the Drunk MCP Proxy server, enabling remote MCP services with agent synchronization and remote resource management.
Features
- Remote Agent Sync: Automatically sync agents from remote sources
- Skill Management: Local skill directory synchronization
- Resource Downloader: Fetch and cache remote MCP resources
- Agent Execution: Execute agents with permission controls
- Offline Support: Cached agents for offline use
Installation & Usage
Local Development (from repo root)
uvx --from ./src/drunk_ai_client drunk_ai_client
Published Package
uvx drunk_ai_client
Direct Installation
pip install -e ./src/drunk_ai_client
drunk-ai-client
Configuration
The client supports multiple configuration sources:
Environment Variables
| Variable | Required | Description |
|---|---|---|
DRUNK_API_URL |
Yes | Drunk MCP Proxy server URL (e.g., http://localhost:9123) |
DRUNK_API_KEY |
No | Bearer token for authentication |
DRUNK_SKILL_DIR |
No | Local directory for synced skills (default: ./skills) |
DRUNK_AGENTS_DIR |
No | Local directory for synced agents (default: ./agents) |
DRUNK_SYNC_INTERVAL |
No | Sync interval in seconds (default: 300) |
DRUNK_ALLOW_OVERWRITE |
No | Overwrite local files during sync (true/false) |
Command Line Options
drunk-ai-client --sync --agent-source https://remote.repo/agents.yaml
New Agent Sync Feature
Sync Remote Agents
# Sync from a remote source (new!)
DRUNK_API_URL=http://localhost:9123 \
DRUNK_AGENTS_DIR=./my-agents \
drunk-ai-client --sync-agents --source https://your-agent-repo.com/agents.yaml
Agent Directory Structure
agents/
├── agent1/
│ ├── config.yaml
│ ├── skills/
│ └── resources/
└── agent2/
└── ...
Skills Sync
# Sync skills from proxy
DRUNK_SKILL_DIR=./skills drunk-ai-client --sync-skills
Usage Examples
Connect to Proxy with Agent Sync
# Start the client with agent sync enabled
DRUNK_API_URL=http://localhost:9123 \
DRUNK_AGENTS_DIR=./agents \
drunk-ai-client --sync --agent-source https://repo.com/agents.yaml
Execute a Remote Agent
Once agents are synced locally, they can be used as standard MCP tools:
// Claude Code or any MCP client can use these tools
{
"name": "agent_search",
"description": "Search through synced agents",
"inputSchema": { ... }
}
Development
Run Tests
python -m pytest tests/
Build and Install Locally
pip install -e ".[dev]"
Notes
- The stdio bridge logs to stderr by default (FastMCP behavior)
- Agent sync runs in background if
--syncflag is enabled - Remote resources are cached locally with automatic refresh
- Authentication tokens are validated on each request
- Agents execute with sandboxed permissions
See Also
Project details
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