SwarmTask

A powerful MCP (Model Context Protocol) server that enablesparallel execution of shell commandsthrough AI assistants like Claude Code. SwarmTask allows you to submit multiple tasks (system commands, scripts, builds, tests) that run simultaneously in Go goroutines, giving you real-time progress monitoring and results.

- 🔧System Administration: Run multiple diagnostic commands in parallel
- 🏗️Development Workflows: Execute builds, tests, and deployments simultaneously
- 📊Data Processing: Process multiple files or datasets concurrently
- 🌐Network Operations: Parallel connectivity tests and monitoring
- 🔍Monitoring & Auditing: Simultaneous system health checks

⚠️ Security Note:Script injection protection and security ring-fencing are not implemented in this release. SwarmTask executes commands with the same privileges as the running process. Planned for next release.

- 🚀Async Task Execution- Submit tasks and get immediate batch ID
- ⚡Goroutine-based Processing- Parallel task execution with channels
- 📊Real-time Status Tracking- Poll for progress and results
- 🔗MCP Protocol Compliant- Integrates with Claude Code via supergateway
- 📈Progress Notifications- Streaming updates during execution
- Configure Claude Code- Add to~/.claude/mcp_servers.json:

{ "mcpServers": { "swarmtask": { "command": "npx", "args": [ "-y", "supergateway", "--streamableHttp", "http://localhost:3500/mcp" ], "env": {} } } }

- Restart Claude Codeto load the MCP server

Submit multiple tasks for parallel asynchronous execution.

Input Format:JSON string mapping task names to shell commands

{ "tasks": "{\"list_home\":\"ls ~\",\"ping_test\":\"ping -c 4 google.com\",\"disk_usage\":\"df -h\"}" }

{ "tasks": { "list_home": "ls ~", "ping_test": "ping -c 4 google.com", "disk_usage": "df -h", "system_info": "uname -a" } }

- Task names become part of the task ID:{batch_id}-{task_name}
- Commands are executed as shell commands (sh -c "command")
- All tasks run in parallel goroutines
- Maximum 50 tasks per batch
- Returns immediately withbatch_idfor tracking

🚀 SwarmTask Batch Submitted Successfully! 🆔 Batch ID: a1b2c3d4-e5f6-7890-abcd-ef1234567890 📋 Task Count: 4 parallel goroutines 🏷️ Task Names: list_home, ping_test, disk_usage, system_info 📊 Status: submitted (starting execution) ⏱️ Started: 14:30:22

Monitor progress and get results of submitted tasks.

{ "batch_id": "a1b2c3d4-e5f6-7890-abcd-ef1234567890" }

{ "batch_id": "a1b2c3d4-e5f6-7890-abcd-ef1234567890", "task_id": "a1b2c3d4-list_home" }

📊 Batch Status Report 🆔 Batch ID: a1b2c3d4-e5f6-7890-abcd-ef1234567890 📈 Overall Progress: 75.0% 🔄 Status: running 📋 Task Details: ✅ list_home: Command: ls ~ Results: Desktop Documents Downloads... 🔄 ping_test: Command: ping -c 4 google.com Results: running ✅ disk_usage: Command: df -h Results: Filesystem Size Used Avail... ❌ system_info: Command: uname -a Results: Error: command timeout

- ⏳pending- Task queued, not started
- 🔄running- Task currently executing
- ✅completed- Task finished successfully
- ❌error- Task failed (shows error message)

- HTTP transport on configurable port (default 3500)
- Handlessubmit_tasksandcheck_statusMCP tools
- Input validation and error handling
- Returns immediate responses with batch IDs

Task Manager(internal/core/manager.go)

- Master Worker: Coordinates batch execution
- Sub Workers: Execute individual tasks in goroutines
- Global State: Thread-safe task storage with mutexes
- Channel Communication: Results flow back via channels

- Asynchronous file logging with rotation (5MB)
- HTTP request/response logging
- Task execution tracking with timing
- Environment configurable (STLOGDIR)
- Submit: Client sends JSON tasks → Batch created → Goroutines started
- Execute: Tasks run in parallel → Results stored in global maps
- Monitor: Status checks return real-time progress → Non-blocking lookups
- Complete: All tasks finish → Final results available

- Parallel Execution: Multiple tasks run simultaneously in goroutines
- Non-blocking: Immediate response with batch tracking
- Thread-safe: Global maps protected with RWMutex
- Real-time Status: Progress tracking with completion percentage
- Error Resilience: Individual task failures don't affect others

Submit tasks: {"sys_info":"uname -a", "disk_space":"df -h", "memory":"free -h", "processes":"ps aux | head -10"}

Check status with batch_id: a1b2c3d4-e5f6-7890

📊 Progress: 100% | ✅✅✅✅ All tasks completed

Submit tasks: {"backup":"tar -czf backup.tar.gz ~/Documents", "network_test":"ping -c 100 google.com", "file_scan":"find /var/log -name '*.log' -size +1M"}

Submit tasks: {"git_status":"git status", "run_tests":"npm test", "build":"npm run build", "lint":"npm run lint"}

Tasks execute in parallel goroutines while you receive real-time status updates!

- 🚀 Non-blocking: Get immediate response with batch ID
- ⚡ Parallel Execution: Multiple tasks run simultaneously in goroutines
- 🔄 Real-time Monitoring: Live progress tracking with completion percentage
- 🛡️ Error Resilience: Individual task failures don't affect others
- 📊 Comprehensive Logging: Full request/response and execution logging
- 🎛️ Configurable: Custom ports and log directories
- 🔗 MCP Integration: Native Claude Code and Desktop support
- ⏱️ Performance: In-memory storage with O(1) task lookups
- 🧵 Thread-safe: Concurrent access with proper mutex protection
- 📈 Scalable: Handle up to 50 parallel tasks per batch

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