We provide all the information about MCP servers via our MCP API.
curl -X GET 'https://glama.ai/api/mcp/v1/servers/eddywebs/sfdxmcp'
If you have feedback or need assistance with the MCP directory API, please join our Discord server
Intelligently determine and prepare the next action based on comprehensive context.
This enhanced version of 'next' considers:
- Current task states
- Recent activity
- Time constraints
- Dependencies
- Your working patterns
Arguments: $ARGUMENTS
## Intelligent Next Action
### 1. **Context Gathering**
Let me analyze the current situation:
- Active tasks (in-progress)
- Recently completed tasks
- Blocked tasks
- Time since last activity
- Arguments provided: $ARGUMENTS
### 2. **Smart Decision Tree**
**If you have an in-progress task:**
- Has it been idle > 2 hours? → Suggest resuming or switching
- Near completion? → Show remaining steps
- Blocked? → Find alternative task
**If no in-progress tasks:**
- Unblocked high-priority tasks? → Start highest
- Complex tasks need breakdown? → Suggest expansion
- All tasks blocked? → Show dependency resolution
**Special arguments handling:**
- "quick" → Find task < 2 hours
- "easy" → Find low complexity task
- "important" → Find high priority regardless of complexity
- "continue" → Resume last worked task
### 3. **Preparation Workflow**
Based on selected task:
1. Show full context and history
2. Set up development environment
3. Run relevant tests
4. Open related files
5. Show similar completed tasks
6. Estimate completion time
### 4. **Alternative Suggestions**
Always provide options:
- Primary recommendation
- Quick alternative (< 1 hour)
- Strategic option (unblocks most tasks)
- Learning option (new technology/skill)
### 5. **Workflow Integration**
Seamlessly connect to:
- `/project:task-master:start [selected]`
- `/project:workflows:auto-implement`
- `/project:task-master:expand` (if complex)
- `/project:utils:complexity-report` (if unsure)
The goal: Zero friction from decision to implementation.