gemini-cli-mcp-async
README.md
# Gemini CLI MCP Async Server
**Asynchronous MCP wrapper for Gemini CLI**
Enable Claude Code to spawn child Gemini CLI sessions for parallel task execution.
## Features
- โ
**Async execution** - Start tasks in background, continue working
- โ
**Multi-instance parallelism** - Run multiple Gemini CLI sessions simultaneously
- โ
**Automatic cleanup** - No zombie processes
- โ
**Zero config** - Works out of the box
## Quick Start
### ๐ Install with UVX
Zero configuration - just run:
```bash
uvx gemini-cli-mcp-async
```
### Configure Claude Code or other MCP Client
Add to your `~/.claude/settings.json`:
```json
{
"mcpServers": {
"gemini-cli-mcp": {
"command": "uvx",
"args": ["gemini-cli-mcp-async"],
"env": {}
}
}
}
```
### Restart Claude Code
Reload or restart Claude Code to load the MCP server.
## Usage Examples
### ๐ Async Execution (Game Changer!)
Start a long task and continue working immediately:
**You:**
> Please analyze the entire project code and generate a comprehensive technical report
**Claude:**
I'll analyze your entire project and generate a technical report. This is a large task, so I'll start it asynchronously...
โ
**Task Started** (Task ID: abc12345)
You can continue working on other things while it runs in the background!
**You:** (Continue working immediately)
> While the report is generating, help me write some unit tests
**Claude:**
Sure! Let me write those unit tests for you...
**You:** (A few minutes later)
> Can you check if the report task is finished?
**Claude:**
โ
**Report Complete!**
[View Detailed Technical Report]
- Project structure analysis
- Code quality assessment
- Performance optimization recommendations
- Security audit results
### โก Parallel Execution
Run multiple tasks simultaneously:
**You:**
> I need to do three things at once:
> 1. Generate unit tests for utils.py
> 2. Refactor database.py to use async/await
> 3. Add type hints to all functions in api.py
**Claude:**
I'll start all three tasks in parallel!
๐ **Task 1 Started** (Task ID: task1) - Generating unit tests
๐ **Task 2 Started** (Task ID: task2) - Refactoring database code
๐ **Task 3 Started** (Task ID: task3) - Adding type hints
All tasks are running in parallel...
**You:** (Later)
> Are all three tasks finished?
**Claude:**
โ
**All Complete!**
- โ
Task 1: Unit tests for utils.py generated
- โ
Task 2: database.py refactored to async mode
- โ
Task 3: Type hints added to api.py functions
### ๐ฏ Quick Sync Tasks
For simple immediate tasks:
**You:**
> Write a Python function to validate email addresses
**Claude:**
```python
import re
def validate_email(email):
pattern = r'^[a-zA-Z0-9._%+-]+@[a-zA-Z0-9.-]+\.[a-zA-Z]{2,}$'
return re.match(pattern, email) is not None
# Usage examples
print(validate_email("user@example.com")) # True
print(validate_email("invalid-email")) # False
```
โ
**Task Complete!**
## Why Async?
**Problem:** Gemini CLI blocks the parent session while running.
**Solution:** This MCP server spawns child Gemini CLI processes that run in the background.
**Benefits:**
- ๐ Start a task and continue working immediately
- โก Run multiple tasks in parallel
- ๐ฏ No blocking, no waiting
- ๐งน Automatic process cleanup
## API Reference
### gemini_cli_execute(query, working_dir, sandbox, yolo, approval_mode, experimental_acp, allowed_mcp_server_names, allowed_tools, extensions, include_directories, output_format, screen_reader, debug, additional_args, timeout)
Execute Gemini CLI synchronously and return result immediately.
### gemini_cli_execute_async(query, working_dir, sandbox, yolo, approval_mode, experimental_acp, allowed_mcp_server_names, allowed_tools, extensions, include_directories, output_format, screen_reader, debug, additional_args)
Start Gemini CLI task in background and return task_id.
### gemini_cli_check_result(task_id)
Check status of async task and return result if completed.
## Configuration
All Gemini CLI parameters are supported. Key options:
- `sandbox` - Enable sandbox mode
- `yolo` - Auto-confirm prompts
- `approval_mode` - Set approval mode ('default', 'auto_edit', 'yolo')
- `output_format` - Output format ('text', 'json', 'stream-json')
- `timeout` - Timeout for sync execution (seconds)
- `debug` - Enable debug logging
## Troubleshooting
**Server not showing up?**
- Use absolute path in config
- Run: `chmod +x gemini_cli_mcp_async_server.py`
- Restart Claude Code
**Task stuck in "running"?**
- Wait a moment, large tasks take time
- Check: `ls -la /tmp/gemini_cli_tasks/`
- View logs: `tail -f /tmp/gemini_cli_mcp_debug.log`
**No output from long tasks:**
- Use `output_format="stream-json"` for better output capture
- Check disk space in `/tmp`
## Requirements
- Python 3.8+
- uvx
- Gemini CLI installed
## License
MIT License
---
**Questions?** Open an issue on GitHub.TDQS
A3.9/5.0
Scored across 3 tools
Disambiguation5/5
The three tools are clearly distinct: synchronous execution, asynchronous task start, and result checking. The descriptions reinforce the differences, leaving no meaningful overlap.
Naming Consistency5/5
All tools share the gemini_cli_ prefix and follow a consistent snake_case verb_noun pattern: execute, execute_async, check_result. Naming is predictable and uniform.
Tool Count5/5
Three tools is an appropriate minimal set for a focused async execution wrapper. Each tool serves a necessary and non-redundant role.
Completeness4/5
The core workflow of sync execution, async launch, and result retrieval is covered. Cancellation or task listing is not provided, but the basic async lifecycle is complete enough for most use cases.
Maintenance
ActivityInactive
ResponsivenessNo issues