[EPIC] Phase 2: MCP Integration #60

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cardosofelipe · 2026-01-03T01:26:17Z

cardosofelipe commented

2026-01-03 01:26:17 +00:00

Overview

Phase 2 implements the Model Context Protocol (MCP) integration layer - the foundation for AI agent communication with external tools and services. This epic covers the complete infrastructure needed to enable AI agents to interact with LLMs, knowledge bases, Git repositories, and issue trackers through a unified, secure protocol.

Architecture

System Architecture Diagram

┌─────────────────────────────────────────────────────────────────────────────────────┐
│                                    FRONTEND                                          │
│  ┌─────────────────┐  ┌─────────────────┐  ┌─────────────────┐  ┌─────────────────┐ │
│  │ Project Views   │  │ Agent Dashboard │  │ Chat Interface  │  │ Admin Console   │ │
│  └────────┬────────┘  └────────┬────────┘  └────────┬────────┘  └────────┬────────┘ │
│           └───────────────────┬┴────────────────────┴─────────────────────┘          │
│                               │ WebSocket/SSE                                        │
└───────────────────────────────┼──────────────────────────────────────────────────────┘
                                │
┌───────────────────────────────┼──────────────────────────────────────────────────────┐
│                               ▼           BACKEND (FastAPI)                          │
│  ┌──────────────────────────────────────────────────────────────────────────────┐   │
│  │                         API Layer (Routes + Dependencies)                     │   │
│  │  ┌────────────┐ ┌────────────┐ ┌────────────┐ ┌────────────┐ ┌────────────┐  │   │
│  │  │   Auth     │ │  Projects  │ │   Agents   │ │   Events   │ │   Admin    │  │   │
│  │  └─────┬──────┘ └─────┬──────┘ └─────┬──────┘ └─────┬──────┘ └─────┬──────┘  │   │
│  └────────┼──────────────┼──────────────┼──────────────┼──────────────┼─────────┘   │
│           └──────────────┴──────────────┴──────────────┴──────────────┘              │
│                                         │                                            │
│  ┌──────────────────────────────────────┼───────────────────────────────────────┐   │
│  │                            SERVICE LAYER                                      │   │
│  │                                      │                                        │   │
│  │  ┌─────────────────────────────────────────────────────────────────────────┐ │   │
│  │  │                    MCP CLIENT MANAGER (#55) ✅                          │ │   │
│  │  │  - Connection pooling    - Health checks    - Tool routing              │ │   │
│  │  │  - Request/response logging    - Error handling    - Retry logic        │ │   │
│  │  └───────────────────────────────┬─────────────────────────────────────────┘ │   │
│  │                                  │                                            │   │
│  │  ┌─────────────────────────────────────────────────────────────────────────┐ │   │
│  │  │                    SAFETY FRAMEWORK (#63) ✅                            │ │   │
│  │  │  - Input validation    - Rate limiting    - Cost controls               │ │   │
│  │  │  - Content filtering   - Tool call auditing   - Dangerous op blocking   │ │   │
│  │  └─────────────────────────────────────────────────────────────────────────┘ │   │
│  │                                                                               │   │
│  │  ┌─────────────────────────────────────────────────────────────────────────┐ │   │
│  │  │               CONTEXT MANAGEMENT ENGINE (#61) ✅                        │ │   │
│  │  │  - Dynamic context window    - Priority-based truncation                │ │   │
│  │  │  - Cross-agent context sharing    - Session state persistence           │ │   │
│  │  └─────────────────────────────────────────────────────────────────────────┘ │   │
│  │                                                                               │   │
│  │  ┌─────────────────────────────────────────────────────────────────────────┐ │   │
│  │  │                 AGENT MEMORY SYSTEM (#62) ✅                            │ │   │
│  │  │  - Short-term: Conversation context    - Long-term: Vector knowledge   │ │   │
│  │  │  - Episodic: Session history    - Semantic: Relationship mapping       │ │   │
│  │  └─────────────────────────────────────────────────────────────────────────┘ │   │
│  └──────────────────────────────���───────────────────────────────────────────────┘   │
└──────────────────────────────┬───────────────────────────────────────────────────────┘
                               │ HTTP/JSON-RPC 2.0
          ┌────────────────────┼────────────────────┬────────────────────┐
          │                    │                    │                    │
          ▼                    ▼                    ▼                    ▼
┌─────────────────┐  ┌─────────────────┐  ┌─────────────────┐  ┌─────────────────┐
│  LLM Gateway    │  │ Knowledge Base  │  │ Git Operations  │  │  Issues MCP     │
│  (#56) ✅       │  │  (#57) ✅       │  │  (#58) ⏳       │  │  (#59) ⏳       │
│  Port 8001      │  │  Port 8002      │  │  Port 8003      │  │  Port 8004      │
│                 │  │                 │  │                 │  │                 │
│ - chat_complete │  │ - search        │  │ - clone         │  │ - create        │
│ - count_tokens  │  │ - ingest        │  │ - commit        │  │ - update        │
│ - list_models   │  │ - delete        │  │ - branch        │  │ - list          │
│ - get_usage     │  │ - update        │  │ - push          │  │ - search        │
└────────┬────────┘  └────────┬────────┘  └────────┬────────┘  └────────┬────────┘
         │                    │                    │                    │
         ▼                    ▼                    ▼                    ▼
┌─────────────────┐  ┌─────────────────┐  ┌─────────────────┐  ┌─────────────────┐
│    LiteLLM      │  │   PostgreSQL    │  │   Git Repos     │  │     Gitea       │
│  (Anthropic,    │  │   + pgvector    │  │   (via dulwich  │  │    API          │
│   OpenAI, etc.) │  │                 │  │    or shell)    │  │                 │
└─────────────────┘  └─────────────────┘  └─────────────────┘  └─────────────────┘

Component Details

Foundation Layer (Complete)

#55 MCP Client Infrastructure ✅

The backbone of MCP communication. Provides:

Connection pooling: Efficient HTTP connection reuse to MCP servers
Health monitoring: Automatic detection of MCP server failures
Tool routing: Dynamic discovery and invocation of MCP tools
Error handling: Unified error propagation with proper typing
Request logging: Full audit trail of all MCP calls

#63 Guardrails & Safety Framework ✅

Security layer protecting all agent operations:

Rate limiting: Per-agent, per-project, global limits
Cost controls: Budget tracking with configurable thresholds
Content filtering: Dangerous pattern detection
Tool validation: Schema validation for all tool inputs
Audit logging: Complete record of all operations

MCP Servers

#56 LLM Gateway ✅

Unified access to multiple LLM providers with intelligent failover:

Model Group	Primary	Fallback 1	Fallback 2
reasoning	claude-opus-4-5	gpt-4.1	gemini-2.5-pro
code	claude-sonnet-4	gpt-4.1	deepseek-coder
fast	claude-haiku	gpt-4.1-mini	gemini-flash
vision	claude-sonnet-4	gpt-4.1	gemini-2.5-pro
embedding	text-embedding-3-large	voyage-3	-

Features:

Circuit breaker (5 failures → 30s cooldown)
Redis-based cost tracking per project/agent
Streaming support via SSE
Token counting via tiktoken

#57 Knowledge Base ✅

RAG capabilities with pgvector for semantic search:

Search Type	Technology	Use Case
Semantic	pgvector + HNSW	Meaning-based code search
Keyword	PostgreSQL FTS	Exact match, symbol lookup
Hybrid	RRF fusion	Best of both approaches

Chunking strategies:

Code: AST-aware (Python), tree-sitter (JS/TS/Go/Rust)
Markdown: Heading-hierarchy preserving
Text: Sentence-based with configurable overlap

Core Intelligence

#61 Context Management Engine ✅

Depends on: #56, #57

Dynamic context window management for optimal LLM usage:

Priority-based truncation: Keep most relevant context
Cross-agent sharing: Context inheritance between related agents
Session persistence: Resume conversations without context loss
Token budgeting: Efficient allocation across system/user/assistant
Model adapters: Claude XML and OpenAI markdown formatting
Redis caching: Fingerprint-based cache for assembled contexts

#62 Agent Memory System ✅ COMPLETE

Depends on: #56, #57, #61

Multi-layer memory architecture with 694 passing tests:

Memory Type	Storage	Use Case
Working	Redis	Current task context
Short-term	Redis	Session history
Long-term	pgvector	Learned knowledge
Episodic	PostgreSQL	Past interaction summaries
Semantic	PostgreSQL + pgvector	Facts and relationships
Procedural	PostgreSQL	Learned procedures

Features:

Memory scoping (global → project → agent type → instance → session)
Consolidation pipeline (working → episodic → semantic/procedural)
MCP tools (remember, recall, forget, reflect)
Integration with Context Engine

Independent MCP Servers (No Blockers)

#58 Git Operations MCP ⏳

Repository manipulation capabilities:

Clone, fetch, pull, push
Branch management
Commit creation with proper attribution
Diff generation and patch application

#59 Issues MCP Server ⏳

Issue tracker integration:

Create, update, close issues
Search and filter
Comment management
Label and milestone operations

Quality Infrastructure (Independent)

These can be implemented anytime - before, during, or after core work:

Issue	Description
#64 Tool Quality Framework	Schema validation, input/output contracts
#65 AI Testing Infrastructure	Automated agent behavior testing
#66 Observability Platform	Metrics, tracing, logging aggregation
#67 Prompt Management	Version-controlled prompt templates
#68 Error Recovery	Graceful degradation, retry strategies

Implementation Order (DEFINITIVE)

✅ COMPLETED (Core MCP Foundation)

#	Issue	Status	Date
1	#55 MCP Client Infrastructure	✅ DONE	-
2	#63 Guardrails & Safety Framework	✅ DONE	-
3	#56 LLM Gateway MCP Server	✅ DONE	-
4	#57 Knowledge Base MCP Server	✅ DONE	-
5	#61 Context Management Engine	✅ DONE	-
6	#62 Agent Memory System	✅ DONE	2026-01-05

NEXT: External Integration MCP Servers

#	Issue	Depends On	Status
7	#58 Git Operations MCP	None	⏳ Ready to start
8	#59 Issues MCP Server	None	⏳ Ready to start

INDEPENDENT (Quality Layer - No Blockers)

Issue	Notes
#64 Tool Quality Framework	Quality layer
#65 AI Testing Infrastructure	Quality layer
#66 Observability Platform	Quality layer
#67 Prompt Management	Quality layer
#68 Error Recovery	Quality layer

Current Progress

Phase 2 MCP Integration Progress: ████████████████████░░░░░ 75%

CORE FOUNDATION (6/6 complete):
[✅] #55 MCP Client Infrastructure
[✅] #63 Guardrails & Safety Framework  
[✅] #56 LLM Gateway MCP Server
[✅] #57 Knowledge Base MCP Server
[✅] #61 Context Management Engine
[✅] #62 Agent Memory System

EXTERNAL INTEGRATION (0/2 complete):
[⏳] #58 Git Operations MCP
[⏳] #59 Issues MCP Server

QUALITY LAYER (0/5 complete):
[⏳] #64-68 Quality Infrastructure

Dependency Graph

#55 MCP Client ──┬──→ #56 LLM Gateway ──┬──→ #61 Context Engine ✅ ──→ #62 Agent Memory ✅
                 │                       │
                 └──→ #63 Safety ────────┘
                 │                       │
                 └──→ #57 Knowledge Base ┘

INDEPENDENT (can happen anytime):
  #58 Git Operations  ← NEXT
  #59 Issues MCP      ← NEXT
  #64-#68 Quality Layer

Technical Stack

Layer	Technology	Purpose
Backend Framework	FastAPI + async Python	High-performance API
MCP Protocol	JSON-RPC 2.0 over HTTP	Standard agent communication
MCP Server Framework	FastMCP	Simplified tool registration
LLM Abstraction	LiteLLM	Multi-provider access
Vector Database	PostgreSQL + pgvector	Semantic search
Caching	Redis	Sessions, embeddings, rate limits
Message Queue	Redis Streams	Async job processing
Containerization	Docker + Docker Compose	Local development

Quality Standards

Code Quality

All code has type hints (mypy strict)
>90% test coverage per component
Docstrings on all public functions
Consistent error handling patterns

Security

All inputs validated (Pydantic)
Rate limiting on all endpoints
Audit logging for sensitive operations
No secrets in code or logs

Performance

Response time <200ms for tool calls
Connection pooling for all external services
Async/await throughout
Proper resource cleanup

Testing

Unit tests for business logic
Integration tests for MCP protocol
E2E tests for critical paths
Load tests for scaling validation

Performance Acceptance Criteria

Metric	Target	Measurement
LLM Gateway latency (excluding provider)	<100ms	P95
Knowledge Base search	<200ms	P95
Context assembly	<50ms	P95
Memory retrieval	<100ms	P95
Health check endpoints	<10ms	P99

Labels

epic, phase-2, mcp, backend

## Overview Phase 2 implements the **Model Context Protocol (MCP) integration layer** - the foundation for AI agent communication with external tools and services. This epic covers the complete infrastructure needed to enable AI agents to interact with LLMs, knowledge bases, Git repositories, and issue trackers through a unified, secure protocol. --- ## Architecture ### System Architecture Diagram ``` ┌─────────────────────────────────────────────────────────────────────────────────────┐ │ FRONTEND │ │ ┌─────────────────┐ ┌─────────────────┐ ┌─────────────────┐ ┌─────────────────┐ │ │ │ Project Views │ │ Agent Dashboard │ │ Chat Interface │ │ Admin Console │ │ │ └────────┬────────┘ └────────┬────────┘ └────────┬────────┘ └────────┬────────┘ │ │ └───────────────────┬┴────────────────────┴─────────────────────┘ │ │ │ WebSocket/SSE │ └───────────────────────────────┼──────────────────────────────────────────────────────┘ │ ┌───────────────────────────────┼──────────────────────────────────────────────────────┐ │ ▼ BACKEND (FastAPI) │ │ ┌──────────────────────────────────────────────────────────────────────────────┐ │ │ │ API Layer (Routes + Dependencies) │ │ │ │ ┌────────────┐ ┌────────────┐ ┌────────────┐ ┌────────────┐ ┌────────────┐ │ │ │ │ │ Auth │ │ Projects │ │ Agents │ │ Events │ │ Admin │ │ │ │ │ └─────┬──────┘ └─────┬──────┘ └─────┬──────┘ └─────┬──────┘ └─────┬──────┘ │ │ │ └────────┼──────────────┼──────────────┼──────────────┼──────────────┼─────────┘ │ │ └──────────────┴──────────────┴──────────────┴──────────────┘ │ │ │ │ │ ┌──────────────────────────────────────┼───────────────────────────────────────┐ │ │ │ SERVICE LAYER │ │ │ │ │ │ │ │ │ ┌─────────────────────────────────────────────────────────────────────────┐ │ │ │ │ │ MCP CLIENT MANAGER (#55) ✅ │ │ │ │ │ │ - Connection pooling - Health checks - Tool routing │ │ │ │ │ │ - Request/response logging - Error handling - Retry logic │ │ │ │ │ └───────────────────────────────┬─────────────────────────────────────────┘ │ │ │ │ │ │ │ │ │ ┌─────────────────────────────────────────────────────────────────────────┐ │ │ │ │ │ SAFETY FRAMEWORK (#63) ✅ │ │ │ │ │ │ - Input validation - Rate limiting - Cost controls │ │ │ │ │ │ - Content filtering - Tool call auditing - Dangerous op blocking │ │ │ │ │ └─────────────────────────────────────────────────────────────────────────┘ │ │ │ │ │ │ │ │ ┌─────────────────────────────────────────────────────────────────────────┐ │ │ │ │ │ CONTEXT MANAGEMENT ENGINE (#61) ✅ │ │ │ │ │ │ - Dynamic context window - Priority-based truncation │ │ │ │ │ │ - Cross-agent context sharing - Session state persistence │ │ │ │ │ └─────────────────────────────────────────────────────────────────────────┘ │ │ │ │ │ │ │ │ ┌─────────────────────────────────────────────────────────────────────────┐ │ │ │ │ │ AGENT MEMORY SYSTEM (#62) ✅ │ │ │ │ │ │ - Short-term: Conversation context - Long-term: Vector knowledge │ │ │ │ │ │ - Episodic: Session history - Semantic: Relationship mapping │ │ │ │ │ └─────────────────────────────────────────────────────────────────────────┘ │ │ │ └──────────────────────────────��───────────────────────────────────────────────┘ │ └──────────────────────────────┬───────────────────────────────────────────────────────┘ │ HTTP/JSON-RPC 2.0 ┌────────────────────┼────────────────────┬────────────────────┐ │ │ │ │ ▼ ▼ ▼ ▼ ┌─────────────────┐ ┌─────────────────┐ ┌─────────────────┐ ┌─────────────────┐ │ LLM Gateway │ │ Knowledge Base │ │ Git Operations │ │ Issues MCP │ │ (#56) ✅ │ │ (#57) ✅ │ │ (#58) ⏳ │ │ (#59) ⏳ │ │ Port 8001 │ │ Port 8002 │ │ Port 8003 │ │ Port 8004 │ │ │ │ │ │ │ │ │ │ - chat_complete │ │ - search │ │ - clone │ │ - create │ │ - count_tokens │ │ - ingest │ │ - commit │ │ - update │ │ - list_models │ │ - delete │ │ - branch │ │ - list │ │ - get_usage │ │ - update │ │ - push │ │ - search │ └────────┬────────┘ └────────┬────────┘ └────────┬────────┘ └────────┬────────┘ │ │ │ │ ▼ ▼ ▼ ▼ ┌─────────────────┐ ┌─────────────────┐ ┌─────────────────┐ ┌─────────────────┐ │ LiteLLM │ │ PostgreSQL │ │ Git Repos │ │ Gitea │ │ (Anthropic, │ │ + pgvector │ │ (via dulwich │ │ API │ │ OpenAI, etc.) │ │ │ │ or shell) │ │ │ └─────────────────┘ └─────────────────┘ └─────────────────┘ └─────────────────┘ ``` --- ## Component Details ### Foundation Layer (Complete) #### #55 MCP Client Infrastructure ✅ The backbone of MCP communication. Provides: - **Connection pooling**: Efficient HTTP connection reuse to MCP servers - **Health monitoring**: Automatic detection of MCP server failures - **Tool routing**: Dynamic discovery and invocation of MCP tools - **Error handling**: Unified error propagation with proper typing - **Request logging**: Full audit trail of all MCP calls #### #63 Guardrails & Safety Framework ✅ Security layer protecting all agent operations: - **Rate limiting**: Per-agent, per-project, global limits - **Cost controls**: Budget tracking with configurable thresholds - **Content filtering**: Dangerous pattern detection - **Tool validation**: Schema validation for all tool inputs - **Audit logging**: Complete record of all operations ### MCP Servers #### #56 LLM Gateway ✅ Unified access to multiple LLM providers with intelligent failover: | Model Group | Primary | Fallback 1 | Fallback 2 | |-------------|---------|------------|------------| | reasoning | claude-opus-4-5 | gpt-4.1 | gemini-2.5-pro | | code | claude-sonnet-4 | gpt-4.1 | deepseek-coder | | fast | claude-haiku | gpt-4.1-mini | gemini-flash | | vision | claude-sonnet-4 | gpt-4.1 | gemini-2.5-pro | | embedding | text-embedding-3-large | voyage-3 | - | Features: - Circuit breaker (5 failures → 30s cooldown) - Redis-based cost tracking per project/agent - Streaming support via SSE - Token counting via tiktoken #### #57 Knowledge Base ✅ RAG capabilities with pgvector for semantic search: | Search Type | Technology | Use Case | |-------------|------------|----------| | Semantic | pgvector + HNSW | Meaning-based code search | | Keyword | PostgreSQL FTS | Exact match, symbol lookup | | Hybrid | RRF fusion | Best of both approaches | Chunking strategies: - **Code**: AST-aware (Python), tree-sitter (JS/TS/Go/Rust) - **Markdown**: Heading-hierarchy preserving - **Text**: Sentence-based with configurable overlap ### Core Intelligence #### #61 Context Management Engine ✅ *Depends on: #56, #57* Dynamic context window management for optimal LLM usage: - **Priority-based truncation**: Keep most relevant context - **Cross-agent sharing**: Context inheritance between related agents - **Session persistence**: Resume conversations without context loss - **Token budgeting**: Efficient allocation across system/user/assistant - **Model adapters**: Claude XML and OpenAI markdown formatting - **Redis caching**: Fingerprint-based cache for assembled contexts #### #62 Agent Memory System ✅ **COMPLETE** *Depends on: #56, #57, #61* Multi-layer memory architecture with 694 passing tests: | Memory Type | Storage | Use Case | |-------------|---------|----------| | Working | Redis | Current task context | | Short-term | Redis | Session history | | Long-term | pgvector | Learned knowledge | | Episodic | PostgreSQL | Past interaction summaries | | Semantic | PostgreSQL + pgvector | Facts and relationships | | Procedural | PostgreSQL | Learned procedures | Features: - Memory scoping (global → project → agent type → instance → session) - Consolidation pipeline (working → episodic → semantic/procedural) - MCP tools (remember, recall, forget, reflect) - Integration with Context Engine ### Independent MCP Servers (No Blockers) #### #58 Git Operations MCP ⏳ Repository manipulation capabilities: - Clone, fetch, pull, push - Branch management - Commit creation with proper attribution - Diff generation and patch application #### #59 Issues MCP Server ⏳ Issue tracker integration: - Create, update, close issues - Search and filter - Comment management - Label and milestone operations ### Quality Infrastructure (Independent) These can be implemented anytime - before, during, or after core work: | Issue | Description | |-------|-------------| | #64 Tool Quality Framework | Schema validation, input/output contracts | | #65 AI Testing Infrastructure | Automated agent behavior testing | | #66 Observability Platform | Metrics, tracing, logging aggregation | | #67 Prompt Management | Version-controlled prompt templates | | #68 Error Recovery | Graceful degradation, retry strategies | --- ## Implementation Order (DEFINITIVE) ### ✅ COMPLETED (Core MCP Foundation) | # | Issue | Status | Date | |---|-------|--------|------| | 1 | #55 MCP Client Infrastructure | ✅ DONE | - | | 2 | #63 Guardrails & Safety Framework | ✅ DONE | - | | 3 | #56 LLM Gateway MCP Server | ✅ DONE | - | | 4 | #57 Knowledge Base MCP Server | ✅ DONE | - | | 5 | #61 Context Management Engine | ✅ DONE | - | | 6 | #62 Agent Memory System | ✅ DONE | 2026-01-05 | ### NEXT: External Integration MCP Servers | # | Issue | Depends On | Status | |---|-------|------------|--------| | 7 | #58 Git Operations MCP | None | ⏳ Ready to start | | 8 | #59 Issues MCP Server | None | ⏳ Ready to start | ### INDEPENDENT (Quality Layer - No Blockers) | Issue | Notes | |-------|-------| | #64 Tool Quality Framework | Quality layer | | #65 AI Testing Infrastructure | Quality layer | | #66 Observability Platform | Quality layer | | #67 Prompt Management | Quality layer | | #68 Error Recovery | Quality layer | --- ## Current Progress ``` Phase 2 MCP Integration Progress: ████████████████████░░░░░ 75% CORE FOUNDATION (6/6 complete): [✅] #55 MCP Client Infrastructure [✅] #63 Guardrails & Safety Framework [✅] #56 LLM Gateway MCP Server [✅] #57 Knowledge Base MCP Server [✅] #61 Context Management Engine [✅] #62 Agent Memory System EXTERNAL INTEGRATION (0/2 complete): [⏳] #58 Git Operations MCP [⏳] #59 Issues MCP Server QUALITY LAYER (0/5 complete): [⏳] #64-68 Quality Infrastructure ``` --- ## Dependency Graph ``` #55 MCP Client ──┬──→ #56 LLM Gateway ──┬──→ #61 Context Engine ✅ ──→ #62 Agent Memory ✅ │ │ └──→ #63 Safety ────────┘ │ │ └──→ #57 Knowledge Base ┘ INDEPENDENT (can happen anytime): #58 Git Operations ← NEXT #59 Issues MCP ← NEXT #64-#68 Quality Layer ``` --- ## Technical Stack | Layer | Technology | Purpose | |-------|------------|---------| | Backend Framework | FastAPI + async Python | High-performance API | | MCP Protocol | JSON-RPC 2.0 over HTTP | Standard agent communication | | MCP Server Framework | FastMCP | Simplified tool registration | | LLM Abstraction | LiteLLM | Multi-provider access | | Vector Database | PostgreSQL + pgvector | Semantic search | | Caching | Redis | Sessions, embeddings, rate limits | | Message Queue | Redis Streams | Async job processing | | Containerization | Docker + Docker Compose | Local development | --- ## Quality Standards ### Code Quality - [x] All code has type hints (mypy strict) - [x] >90% test coverage per component - [x] Docstrings on all public functions - [x] Consistent error handling patterns ### Security - [x] All inputs validated (Pydantic) - [x] Rate limiting on all endpoints - [x] Audit logging for sensitive operations - [x] No secrets in code or logs ### Performance - [x] Response time <200ms for tool calls - [x] Connection pooling for all external services - [x] Async/await throughout - [x] Proper resource cleanup ### Testing - [x] Unit tests for business logic - [x] Integration tests for MCP protocol - [ ] E2E tests for critical paths - [ ] Load tests for scaling validation --- ## Performance Acceptance Criteria | Metric | Target | Measurement | |--------|--------|-------------| | LLM Gateway latency (excluding provider) | <100ms | P95 | | Knowledge Base search | <200ms | P95 | | Context assembly | <50ms | P95 | | Memory retrieval | <100ms | P95 | | Health check endpoints | <10ms | P99 | --- ## Labels `epic`, `phase-2`, `mcp`, `backend`

cardosofelipe added the epic mcp phase-2 labels 2026-01-03 01:26:28 +00:00

cardosofelipe referenced this issue

2026-01-03 09:03:15 +00:00

feat(mcp): Implement Issues MCP Server #59

cardosofelipe referenced this issue

2026-01-03 09:07:52 +00:00

feat(mcp): Context Management Engine #61

cardosofelipe referenced this issue

2026-01-03 09:09:22 +00:00

feat(mcp): Agent Memory System #62

cardosofelipe referenced this issue

2026-01-03 09:10:46 +00:00