LocalMCP

# Product Roadmap > Last Updated: 2025-07-26 > Version: 1.0.0 > Status: Planning ## Phase 0: Already Completed The following features have been implemented: - [x] Project structure and setup - Basic directory structure with src/core modules `XS` - [x] Core dependencies configuration - pyproject.toml and requirements.txt with all dependencies `S` - [x] Docker Compose infrastructure - Redis, Prometheus, Grafana, Jaeger services `S` - [x] Semantic Tool Orchestrator foundation - Basic class structure with FAISS integration `M` - [x] Elastic Circuit Breaker implementation - Advanced circuit breaker with deconstructed state `M` - [x] Documentation structure - README, CONTRIBUTING, and technical docs `S` ## Phase 1: Core Architecture (2-3 weeks) **Goal:** Complete the foundational MCP implementation with basic tool orchestration **Success Criteria:** Successfully orchestrate 5+ MCP tools with semantic search ### Must-Have Features - [ ] MCP Client Adapter - WebSocket client for MCP protocol communication `L` - [ ] Tool Registry Implementation - Dynamic tool registration and discovery `M` - [ ] Basic Agent Implementation - Simple agent that can use MCP tools `L` - [ ] Semantic Search Integration - Complete FAISS integration for tool discovery `M` - [ ] Basic Caching Layer - L1 in-memory cache implementation `M` ### Should-Have Features - [ ] Health Check System - Basic health monitoring for components `S` - [ ] CLI Interface - Command-line tool for system interaction `M` ### Dependencies - FAISS installation and configuration - Redis running via Docker Compose ## Phase 2: Advanced Orchestration (3-4 weeks) **Goal:** Implement intelligent tool composition and execution optimization **Success Criteria:** Demonstrate 20%+ performance improvement through optimization ### Must-Have Features - [ ] Execution Plan Optimizer - Parallel execution detection and planning `L` - [ ] Dependency Resolution Engine - Automatic ordering of dependent tool calls `L` - [ ] Multi-Layer Cache - Implement L2 Redis and L3 semantic caching `L` - [ ] MCP-Zero Active Discovery - LLM-driven tool request system `XL` - [ ] Context Optimization - Token reduction strategies `M` ### Should-Have Features - [ ] Tool Composition Rules - Define how tools can be combined `M` - [ ] Performance Profiling - Measure and optimize execution paths `M` ### Dependencies - Phase 1 completion - Redis cluster configuration ## Phase 3: Multi-LLM Gateway (3-4 weeks) **Goal:** Build unified interface for multiple LLM providers with failover **Success Criteria:** Seamless switching between 3+ LLM providers ### Must-Have Features - [ ] LLM Gateway Implementation - Unified interface for all providers `L` - [ ] Provider Adapters - OpenAI, Anthropic, Google implementations `L` - [ ] Intelligent Router - Cost and capability-based routing `M` - [ ] Failover System - Automatic fallback between providers `M` - [ ] Local Model Support - Integration with Ollama/local models `L` ### Should-Have Features - [ ] Cost Optimization - Route based on cost/performance tradeoffs `M` - [ ] Provider Health Monitoring - Track provider availability `S` ### Dependencies - API keys for LLM providers - Local model infrastructure (optional) ## Phase 4: Production Hardening (3-4 weeks) **Goal:** Enterprise-grade reliability and observability **Success Criteria:** 99.9% uptime with full observability ### Must-Have Features - [ ] Distributed Tracing - Complete Jaeger integration `M` - [ ] Prometheus Metrics - Comprehensive metric collection `M` - [ ] Grafana Dashboards - Pre-built monitoring dashboards `M` - [ ] Advanced Circuit Breaker Tuning - Production-ready configurations `M` - [ ] Security Hardening - Authentication and authorization `L` ### Should-Have Features - [ ] Rate Limiting - Protect against abuse `M` - [ ] Audit Logging - Track all system actions `M` - [ ] Backup and Recovery - State persistence strategies `M` ### Dependencies - Monitoring stack fully operational - Security review completed ## Phase 5: Enterprise Features (4-6 weeks) **Goal:** Advanced features for large-scale deployments **Success Criteria:** Support 1000+ concurrent users with 100+ MCP servers ### Must-Have Features - [ ] Multi-Tenancy Support - Isolated environments per tenant `XL` - [ ] Custom MCP Server SDK - Easy creation of new MCP servers `L` - [ ] Admin Dashboard - Web UI for system management `XL` - [ ] Horizontal Scaling - Kubernetes deployment support `L` - [ ] Advanced Analytics - Usage patterns and optimization insights `L` ### Should-Have Features - [ ] Marketplace Integration - Share and discover MCP servers `L` - [ ] Compliance Features - GDPR, SOC2 compliance tools `L` - [ ] Enterprise SSO - SAML/OIDC integration `M` ### Dependencies - Kubernetes infrastructure - Frontend framework selection - Enterprise feedback and requirements