ruvnet / ruvnet/ruflo

Implement Missing MCP Tool Functionality Using DAA and ruv-swarm

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already-fixed
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Description

# Implement Missing MCP Tool Functionality Using DAA and ruv-swarm

## Summary
Following analysis in #653, we need to implement the ~40% of MCP tools that currently return mock responses. This implementation should leverage existing DAA JavaScript code and ruv-swarm capabilities while maintaining backward compatibility.

## Key Findings
- 40% of MCP tools return mock responses (not 85% as claimed)
- Working JavaScript DAA implementations exist in `/src/ui/console/js/daa-tools.js`
- SQLite persistence layer is fully functional
- ruv-swarm integration points are available

## Implementation Priorities

### Phase 1: Quick Wins (Week 1)
- Fix `agent_list` to return actual spawned agents
- Fix `swarm_status` to show real counts
- Implement `task_results` storage
- Add real-time monitoring

### Phase 2: DAA Integration (Week 2)
- Port DAA JavaScript implementations to TypeScript
- Implement all `daa_*` tools with real functionality
- Add WASM optimization where beneficial
- Connect to SQLite persistence

### Phase 3: ruv-swarm Integration (Week 3)
- Use ruv-swarm for distributed coordination
- Implement consensus mechanisms
- Add fault tolerance
- Enable auto-scaling

### Phase 4: Advanced Features (Weeks 4-6)
- GitHub API integration
- Workflow automation
- Performance monitoring
- Neural operations enhancement

## Success Criteria
- Reduce mock rate from 40% to <10%
- Maintain 100% backward compatibility
- All DAA tools functional
- Real-time metrics operational

## References
- Analysis: #653
- DAA Repository: https://github.com/ruvnet/daa
- Existing DAA JS: `/src/ui/console/js/daa-tools.js`

Contributor guide

Open the contributing guide

Research direction

Start with the analysis in #653 and inspect /src/ui/console/js/daa-tools.js alongside the MCP tool implementations and SQLite persistence layer. Use the Phase 1 priorities to establish the first concrete scope, then verify the success criteria: fewer mock responses, backward compatibility, functional DAA tools, and real-time metrics.

Written by the indexing model from the issue text.

Assessment

Tech stack
javascript, sqlite, typescript, wasm
Domain
ai, api, backend, databases, distributed-systems
Issue type
Feature
Difficulty
5/5
Estimated time
Over a week
Activity status
Active
Clarity
Mostly clear
Newbie friendliness
35/100

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