ColaFlow/docs/stories/sprint_5/README.md

Sprint 5 Stories - MCP Server Foundation

Sprint: Sprint 5 Milestone: M2 - MCP Server Implementation Duration: 8 weeks (40 working days) Created: 2025-11-06 Total Stories: 12 Total Story Points: 63

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Overview

This directory contains detailed Story documents for Sprint 5: MCP Server Foundation (Phase 1-3). These Stories establish the foundational infrastructure for AI integration through the Model Context Protocol (MCP).

Sprint Goal: Build the foundational MCP Server infrastructure to enable AI agents (Claude, ChatGPT) to safely read and modify ColaFlow project data through the MCP protocol.

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Phase 1: Foundation (Week 1-2)

Goal: Establish MCP protocol infrastructure, API Key authentication, and basic error handling.

Story ID	Title	Priority	Story Points	Est. Days	Dependencies
story_5_1	MCP Protocol Handler Implementation	P0	8	3	-
story_5_2	API Key Management System	P0	5	2	-
story_5_3	MCP Domain Layer Design	P0	5	2	-
story_5_4	Error Handling & Logging	P0	3	1	story_5_1

Phase 1 Total: 21 Story Points (8 days)

Milestone: MCP infrastructure ready, API Key authentication working

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Phase 2: Resources (Week 3-4)

Goal: Implement read-only data exposure (5 core Resources), multi-tenant isolation, Redis caching.

Story ID	Title	Priority	Story Points	Est. Days	Dependencies
story_5_5	Core MCP Resources Implementation	P0	8	3	story_5_1, story_5_2, story_5_3
story_5_6	Resource Registration & Discovery	P0	3	1	story_5_5
story_5_7	Multi-Tenant Isolation Verification	P0	5	2	story_5_5, story_5_2
story_5_8	Redis Caching Integration	P1	5	2	story_5_5

Phase 2 Total: 21 Story Points (8 days)

Milestone: AI can read ColaFlow data via MCP Resources

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Phase 3: Tools & Diff Preview (Week 5-6)

Goal: Implement write operations (3 core Tools), build Diff Preview mechanism, SignalR real-time notifications.

Story ID	Title	Priority	Story Points	Est. Days	Dependencies
story_5_9	Diff Preview Service Implementation	P0	5	2	story_5_3
story_5_10	PendingChange Management	P0	5	2	story_5_3, story_5_9
story_5_11	Core MCP Tools Implementation	P0	8	3	story_5_1, story_5_9, story_5_10
story_5_12	SignalR Real-Time Notifications	P0	3	1	story_5_10

Phase 3 Total: 21 Story Points (8 days)

Milestone: AI can request write operations (with approval workflow)

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Story Summary

By Priority

• P0 (Critical): 11 Stories, 58 Story Points
• P1 (High): 1 Story, 5 Story Points

By Phase

• Phase 1 (Foundation): 4 Stories, 21 Story Points
• Phase 2 (Resources): 4 Stories, 21 Story Points
• Phase 3 (Tools & Diff Preview): 4 Stories, 21 Story Points

Dependency Graph

Phase 1:
  story_5_1 (Protocol Handler) ──┐
  story_5_2 (API Key)            ├──> story_5_5 (Resources) ──> story_5_6 (Registry)
  story_5_3 (Domain Layer) ──────┤                           ├──> story_5_7 (Multi-Tenant)
                                 │                           └──> story_5_8 (Redis Cache)
  story_5_1 ──> story_5_4 (Error Handling)

Phase 2 → Phase 3:
  story_5_3 ──> story_5_9 (Diff Preview) ──> story_5_10 (PendingChange) ──> story_5_11 (Tools)
                                                                         └──> story_5_12 (SignalR)
  story_5_1 ──────────────────────────────────────────────────────────────> story_5_11

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Key Deliverables

Phase 1: Foundation

• ✅ JSON-RPC 2.0 protocol handler
• ✅ MCP initialize handshake
• ✅ API Key authentication (BCrypt hashing)
• ✅ Domain entities (McpApiKey, PendingChange, DiffPreview)
• ✅ Structured logging (Serilog)
• ✅ Exception handling

Phase 2: Resources

• ✅ 6 MCP Resources (projects.list, projects.get, issues.search, issues.get, sprints.current, users.list)
• ✅ Resource registration and discovery
• ✅ Multi-tenant isolation (100% verified)
• ✅ Redis caching (30-50% performance improvement)

Phase 3: Tools & Diff Preview

• ✅ 3 MCP Tools (create_issue, update_status, add_comment)
• ✅ Diff Preview service (CREATE, UPDATE, DELETE)
• ✅ PendingChange approval workflow
• ✅ SignalR real-time notifications

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Definition of Done (Sprint-Level)

Functional

• All P0 stories completed (Stories 1-12)
• MCP protocol initialize handshake works
• API Key authentication functional
• 5 Resources return correct data with < 200ms latency
• 3 Tools generate Diff Preview correctly
• Approval workflow complete (PendingChange → Approve → Execute)
• SignalR real-time notifications working

Quality

• Multi-tenant isolation 100% verified
• Redis caching improves performance by 30%+
• Unit test coverage > 80%
• Integration tests pass
• No CRITICAL security vulnerabilities

Documentation

• Architecture documentation updated
• API documentation (Swagger)
• Integration guide for AI clients

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Success Metrics

Performance Metrics

• API Response Time: < 200ms (P50), < 500ms (P95)
• MCP Protocol Overhead: < 5ms per request
• Cache Hit Rate: > 80% for hot Resources
• Throughput: > 100 requests/second per instance

Quality Metrics

• Unit Test Coverage: > 80%
• Integration Test Coverage: > 70%
• Security Vulnerabilities: 0 CRITICAL, 0 HIGH
• Code Duplication: < 5%

Functional Metrics

• Resources Implemented: 6/6 (100%)
• Tools Implemented: 3/3 (100%)
• Multi-Tenant Isolation: 100% verified
• Diff Preview Accuracy: 100% (all changed fields detected)

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Risk Register

Critical Risks

Risk ID	Description	Mitigation	Owner	Story
RISK-001	Multi-tenant data leak	100% test coverage, security audit	Backend	story_5_7
RISK-002	API Key security breach	BCrypt hashing, IP whitelist, rate limiting	Backend	story_5_2
RISK-003	Diff Preview inaccurate	Comprehensive testing, JSON diff library	Backend	story_5_9

High Risks

Risk ID	Description	Mitigation	Owner	Story
RISK-004	MCP protocol changes	Version control, quick adaptation	Architect	story_5_1
RISK-005	Performance bottleneck	Redis caching, horizontal scaling	Backend	story_5_8
RISK-006	SignalR scalability	Redis backplane for multi-instance	Backend	story_5_12

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Technical Stack

Backend

• .NET 9 (ASP.NET Core)
• PostgreSQL 15+
• Redis 7+
• EF Core 9
• MediatR (CQRS)
• SignalR
• BCrypt.Net
• Serilog

Testing

• xUnit
• Moq
• FluentAssertions
• Integration Tests (EF Core In-Memory)

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Sprint Timeline

Week 1-2: Phase 1 - Foundation

• Day 1-3: Story 1 - MCP Protocol Handler
• Day 4-5: Story 2 - API Key Management
• Day 6-7: Story 3 - MCP Domain Layer
• Day 8: Story 4 - Error Handling & Logging

Week 3-4: Phase 2 - Resources

• Day 9-11: Story 5 - Core Resources Implementation
• Day 12: Story 6 - Resource Registration
• Day 13-14: Story 7 - Multi-Tenant Isolation Verification
• Day 15-16: Story 8 - Redis Caching Integration

Week 5-6: Phase 3 - Tools & Diff Preview

• Day 17-18: Story 9 - Diff Preview Service
• Day 19-20: Story 10 - PendingChange Management
• Day 21-23: Story 11 - Core Tools Implementation
• Day 24: Story 12 - SignalR Notifications

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How to Use These Stories

For Backend Developers

1. Read Story document thoroughly
2. Understand acceptance criteria
3. Follow task breakdown (estimated hours)
4. Write tests first (TDD recommended)
5. Implement feature
6. Submit PR with all DoD items checked

For QA Engineers

1. Review acceptance criteria
2. Prepare test scenarios
3. Verify unit test coverage
4. Execute integration tests
5. Report bugs with Story ID reference

For Product Manager

1. Track Story status (not_started, in_progress, completed)
2. Monitor dependencies
3. Update Sprint progress
4. Coordinate Story sequencing

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Related Documents

Planning Documents

• Sprint 5 Plan - Sprint overview and timeline
• Product Roadmap - M2 section

Architecture Documents

• MCP Server Architecture - Complete 73KB design doc
• MCP Suggestions - Architect's analysis

Technical References

• MCP Protocol Specification
• JSON-RPC 2.0 Spec

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Notes

Why Sprint 5 Matters

• AI Integration Foundation: Enables ColaFlow to become AI-native
• Market Differentiation: MCP support is cutting-edge (few competitors)
• M2 Milestone Progress: 50% of M2 completed after this Sprint
• User Value: AI automates 50% of manual project management work

What Makes This Sprint Unique

• Security First: Multi-tenant isolation is P0
• Diff Preview: Unique safety mechanism (not in competitors)
• Human-in-the-Loop: AI proposes, human approves
• Real-Time: SignalR notifications complete the loop

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Created: 2025-11-06 by Product Manager Agent Last Updated: 2025-11-06 Next Review: Sprint Planning Meeting (2025-11-27)