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MCP Analysis Summary

Fukuii RPC Endpoint Inventory & Agent Control Planning

Date: 2025-12-12
Version: 1.0.0
Status: Planning Complete - Ready for Implementation

Executive Summary

This document summarizes the comprehensive analysis of Fukuii's RPC endpoints and provides a strategic plan for enabling complete agent control through the Model Context Protocol (MCP).

Key Findings

  1. RPC Endpoint Inventory: Cataloged 97 total RPC endpoints across 12 namespaces
  2. Current MCP Coverage: Only 7.2% (7/97) of endpoints accessible via MCP
  3. Implementation Gap: Most existing MCP tools return placeholder data, not real node state
  4. Strategic Opportunity: Well-architected foundation ready for rapid expansion

Deliverables

✅ RPC_ENDPOINT_INVENTORY.md - Complete catalog of all 97 RPC endpoints
✅ MCP_ENHANCEMENT_PLAN.md - Comprehensive roadmap for agent-controlled node management
✅ MCP_ANALYSIS_SUMMARY.md - This executive summary document

Analysis Overview

RPC Endpoint Inventory Results

Total Endpoints Cataloged: 97

By Namespace: - ETH: 52 endpoints (blockchain, transactions, mining) - WEB3: 2 endpoints (utilities) - NET: 9 endpoints (network, peers) - PERSONAL: 8 endpoints (accounts, signing) - DEBUG: 3 endpoints (diagnostics) - TEST: 7 endpoints (testing only) - FUKUII: 1 endpoint (custom extensions) - MCP: 7 endpoints (agent interface) - QA: 3 endpoints (quality assurance) - CHECKPOINTING: 2 endpoints (ETC-specific) - IELE: 2 endpoints (IELE VM) - RPC: 1 endpoint (introspection)

By Safety Classification: - 🟢 Safe (67): Read-only operations - 🟡 Caution (20): Write operations requiring access control - 🔴 Dangerous (10): State-modifying operations for testing only

By Production Status: - ✅ Production Ready (76): Safe for production deployment - ⚠️ Development Only (11): Should be disabled in production - 🧪 Testing Only (10): Only for test environments

Current MCP Implementation Status

Existing Components: - 7 MCP protocol endpoints (initialization, tool/resource/prompt discovery) - 5 tools (mostly returning placeholder data) - 5 resources (mostly returning placeholder JSON) - 3 prompts (diagnostic guidance)

Critical Issues Identified: 1. ❌ Tools not integrated with actual node actors 2. ❌ Resources return static placeholder data 3. ❌ No write operations (cannot control node) 4. ❌ Limited observability (missing key metrics) 5. ❌ No mining control capabilities 6. ❌ No peer management tools 7. ❌ No transaction management 8. ❌ Missing configuration access

Strengths: 1. ✅ Solid MCP protocol foundation (JSON-RPC integration) 2. ✅ Clean modular architecture (Tools/Resources/Prompts separation) 3. ✅ Security-conscious design patterns 4. ✅ Good documentation structure 5. ✅ Well-tested existing RPC infrastructure

Strategic Recommendations

Priority 1: Complete Existing Tool Implementation (Weeks 1-3)

Goal: Make existing 5 MCP tools query real node state

Action Items: 1. Integrate mcp_node_status with PeerManagerActor and SyncController 2. Integrate mcp_blockchain_info with Blockchain actor 3. Integrate mcp_sync_status with SyncController 4. Integrate mcp_peer_list with PeerManagerActor 5. Add proper error handling and timeouts 6. Implement caching for expensive queries

Impact: Existing tools become immediately useful for monitoring

Priority 2: Add Core Control Capabilities (Weeks 4-5)

Goal: Enable basic node control operations

Focus Areas: 1. Mining control (start/stop/configure) 2. Peer management (connect/disconnect) 3. Basic health checks 4. Configuration validation

Impact: Agents can perform essential node management tasks

Priority 3: Expand Observability (Weeks 6-9)

Goal: Comprehensive monitoring and diagnostics

Focus Areas: 1. Transaction monitoring and management 2. Advanced peer management 3. Performance profiling 4. Automated diagnostics

Impact: Agents can proactively detect and diagnose issues

Priority 4: Advanced Features (Weeks 10-13)

Goal: Intelligent optimization and capacity planning

Focus Areas: 1. Configuration management 2. Optimization recommendations 3. Capacity planning 4. Predictive maintenance

Impact: Agents can optimize node performance and plan for growth

Proposed MCP Enhancements

New Components Summary

Total New Components: 80+ - 45 new tools - 20 new resources - 15 new prompts

By Category

1. Node Control & Monitoring (Phase 1)

  • 8 new tools
  • 7 enhanced resources
  • Real actor integration for existing tools

Key Tools: - mcp_node_status_detailed - Comprehensive status with real data - mcp_health_check - Automated health assessment - mcp_metrics_snapshot - Performance metrics capture

2. Mining & Block Production (Phase 2)

  • 7 new tools
  • 4 new resources
  • 2 new prompts

Key Tools: - mcp_mining_start / mcp_mining_stop - Mining control - mcp_mining_configure - Parameter management - mcp_mining_profitability - ROI estimation

3. Transaction & Account Management (Phase 3)

  • 8 new tools
  • 5 new resources
  • 2 new prompts

Key Tools: - mcp_transaction_get - Transaction details - mcp_transaction_pending_list - Mempool monitoring - mcp_gas_price_estimate - Fee optimization

4. Network & Peer Management (Phase 4)

  • 10 new tools
  • 6 new resources
  • 3 new prompts

Key Tools: - mcp_peer_connect / mcp_peer_disconnect - Connection control - mcp_blacklist_add / mcp_blacklist_remove - Blacklist management - mcp_peer_quality_analyze - Peer assessment

5. Advanced Monitoring & Diagnostics (Phase 5)

  • 7 new tools
  • 5 new resources
  • 3 new prompts

Key Tools: - mcp_health_check_comprehensive - Complete health audit - mcp_performance_profile - Bottleneck identification - mcp_logs_analyze - Pattern detection

6. Configuration & Optimization (Phase 6)

  • 5 new tools
  • 3 new resources
  • 2 new prompts

Key Tools: - mcp_config_get_full - Complete configuration - mcp_config_recommend - Optimization suggestions - mcp_capacity_planning - Growth forecasting

Security Architecture

Multi-Level Access Control

Level 1: Read-Only (Monitoring) - Query node status, blockchain data, logs, metrics - No state modifications - Suitable for monitoring agents

Level 2: Operational (Management) - Level 1 + mining control, peer management, blacklist - No sensitive data access - Suitable for operational agents

Level 3: Administrative (Full Control) - Level 1 + Level 2 + configuration changes, full control - Complete node access - Suitable for administrative agents only

Security Features

  1. Authentication: API key-based with multiple key support
  2. Authorization: Permission-based access control per tool
  3. Audit Logging: Complete operation logging
  4. Rate Limiting: Per-key rate limits to prevent abuse
  5. Input Validation: Comprehensive validation on all parameters
  6. Secure by Default: MCP disabled by default, explicit configuration required

Example Configuration

fukuii.network.rpc.mcp {
  enabled = true

  authentication {
    required = true
    method = "api-key"

    keys = [
      {
        name = "monitoring-agent"
        key = "${MCP_MONITORING_KEY}"
        permission = "read-only"
        rate-limit = 60
      },
      {
        name = "ops-agent"
        key = "${MCP_OPS_KEY}"
        permission = "operational"
        rate-limit = 30
      },
      {
        name = "admin-agent"
        key = "${MCP_ADMIN_KEY}"
        permission = "administrative"
        rate-limit = 20
      }
    ]
  }
}

Implementation Timeline

Phased Rollout: 12-16 Weeks

Phase 1: Core Node Control (Weeks 1-3) - Complete existing tool implementation - Add 8 new core tools - Implement actor integration patterns - Milestone: Basic monitoring functional

Phase 2: Mining & Block Production (Weeks 4-5) - Add 7 mining tools - Integrate with MiningCoordinator - Milestone: Agent can control mining

Phase 3: Transaction & Account Management (Weeks 6-7) - Add 8 transaction tools - Integrate with TxPool - Milestone: Agent can monitor transactions

Phase 4: Network & Peer Management (Weeks 8-9) - Add 10 peer management tools - Implement blacklist control - Milestone: Agent can manage network

Phase 5: Advanced Monitoring & Diagnostics (Weeks 10-11) - Add 7 diagnostic tools - Implement health checks - Milestone: Agent can diagnose issues

Phase 6: Configuration & Optimization (Weeks 12-13) - Add 5 configuration tools - Implement optimization engine - Milestone: Agent can optimize performance

Integration & Release (Weeks 14-16) - End-to-end testing - Security audit - Documentation finalization - Milestone: Production ready

Acceptance Criteria

Functional Criteria

  1. ✅ Agent can monitor real-time node status
  2. ✅ Agent can control mining operations
  3. ✅ Agent can manage peer connections
  4. ✅ Agent can monitor transactions
  5. ✅ Agent can diagnose issues
  6. ✅ Agent can optimize configuration

Non-Functional Criteria

  1. ✅ Tool execution time < 5s (p95)
  2. ✅ Resource read time < 1s (p95)
  3. ✅ Authentication enforced on all operations
  4. ✅ All operations audited
  5. ✅ Test coverage > 80%
  6. ✅ Complete documentation

Integration Criteria

  1. ✅ No breaking changes to existing RPC
  2. ✅ Backward compatible
  3. ✅ Works with existing infrastructure
  4. ✅ Example agents provided
  5. ✅ Migration guides available

Success Metrics

Coverage Metrics

  • Target: 85% coverage of production RPC endpoints via MCP
  • Current: 7.2% (7/97 endpoints)
  • Final: ~82 endpoints covered via MCP tools/resources

Performance Metrics

  • Tool execution latency p95: <5 seconds
  • Resource read latency p95: <1 second
  • Concurrent request handling: >100 req/s
  • Memory overhead: <50MB

Security Metrics

  • 100% authentication enforcement
  • 100% authorization checks
  • Zero security vulnerabilities
  • Complete audit logging

Quality Metrics

  • Test coverage: >80%
  • Zero critical bugs
  • Documentation completeness: 100%
  • Example agent coverage: All major use cases

Risk Assessment

Technical Risks

Risk: Actor integration complexity
Mitigation: Start with simple queries, build patterns incrementally
Impact: Medium | Likelihood: Medium

Risk: Performance impact on node
Mitigation: Implement caching, rate limiting, query optimization
Impact: High | Likelihood: Low

Risk: Security vulnerabilities
Mitigation: Security-first design, comprehensive testing, audit
Impact: High | Likelihood: Low

Schedule Risks

Risk: Timeline delays due to complexity
Mitigation: Phased approach allows for flexibility
Impact: Medium | Likelihood: Medium

Risk: Scope creep
Mitigation: Clear phase boundaries, strict acceptance criteria
Impact: Medium | Likelihood: Low

Resource Risks

Risk: Insufficient testing resources
Mitigation: Automated testing, CI/CD integration
Impact: Medium | Likelihood: Low

Next Steps

Immediate Actions (Week 1)

  1. Review & Approval
  2. Technical review of MCP_ENHANCEMENT_PLAN.md
  3. Security review of proposed access control model

  4. Stakeholder approval to proceed

  5. Environment Setup

  6. Set up development environment
  7. Configure CI/CD for MCP components

  8. Establish testing infrastructure

  9. Begin Phase 1 Implementation

  10. Start actor integration for existing tools
  11. Implement first new core control tools
  12. Create unit test framework

Short-term Goals (Weeks 2-4)

  1. Complete Phase 1 implementation
  2. Demonstrate working agent integration
  3. Validate security model
  4. Begin Phase 2 planning

Medium-term Goals (Weeks 5-13)

  1. Complete Phases 2-6 implementation
  2. Continuous integration and testing
  3. Documentation updates
  4. Example agent development

Long-term Goals (Weeks 14-16)

  1. Final integration testing
  2. Security audit
  3. Performance optimization
  4. Production release

Conclusion

This analysis demonstrates that Fukuii has a solid foundation for MCP integration but requires significant expansion to enable complete agent control. The proposed enhancement plan provides a clear, phased roadmap to achieve this goal while maintaining security, performance, and reliability.

Key Takeaways:

  1. Comprehensive Coverage: Identified all 97 RPC endpoints and their capabilities
  2. Clear Gap Analysis: Current 7.2% MCP coverage needs expansion to 85%
  3. Actionable Plan: 6-phase roadmap with specific deliverables and timelines
  4. Security First: Multi-level access control with authentication and audit logging
  5. Quality Assurance: Comprehensive testing and documentation requirements

Expected Outcome: AI agents will have complete, secure, auditable control over Fukuii nodes, enabling autonomous operations, proactive monitoring, intelligent troubleshooting, and performance optimization.

Document Maintainer: Chippr Robotics LLC
Last Updated: 2025-12-12
Status: Analysis Complete - Ready for Implementation
Next Review: Upon implementation start