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MCP Server with LangGraph - Product Roadmap

Vision

Build the most production-ready, enterprise-grade MCP server with LangGraph, enabling teams to deploy intelligent agents with confidence through comprehensive observability, compliance, and multi-cloud support.

Current Status (v2.8.0) ✅

Released: October 2025

Production-Ready Features

  • Multi-LLM Support: Google Gemini, Anthropic Claude, OpenAI GPT
  • Enterprise Authentication: Keycloak SSO, JWT, OpenFGA authorization
  • Compliance Suite: GDPR/SOC2/HIPAA with automated evidence collection
  • Distributed State: Redis checkpointing for HPA auto-scaling (v2.5.0)
  • Multi-Cloud Observability: 6 platform log aggregation (AWS, GCP, Azure, etc.)
  • Structured Logging: OpenTelemetry trace injection with JSON formatters
  • Comprehensive Testing: 865+ tests, 13,427 LOC test coverage
  • Complete Documentation: 95 MDX files, 22 ADRs

Known Limitations

  • ✅ TODOs in production code: 9 resolved, 19 integration placeholders (non-blocking)
    • See: TODO Analysis Report
    • Deferred to v2.8.0: Storage backends, Prometheus queries, SIEM integration
  • ✅ CI/CD pipeline (fixed: action versions standardized, benchmark updated to v1.20.7)
  • 🟡 No rate limiting or circuit breaker patterns
  • 🟡 Limited performance optimization (no caching, connection pooling)
  • 🟡 No multi-tenancy support

Q4 2025: Stability & Production Hardening 🛡️

Theme: “Enterprise Production Ready” Release: v2.6.0 (November 2025), v2.7.0 (December 2025)

P0: Critical Fixes (v2.6.0 - November 2025)

1. CI/CD Pipeline Restoration

  • Goal: 100% passing CI/CD workflows
  • Work Items:
    • Fix benchmark-action version (v1.21.0v1.20.3)
    • Resolve quality test failures
    • Update deprecated GitHub Actions
    • Validate containerized integration tests
    • Add CI status badges to README
Success Criteria: All 7 workflows green, < 10 min total runtime

2. Complete Production TODOs (24 items)

  • Goal: Zero TODOs in production code paths
  • Work Items:
    • Alerting Integration (src/mcp_server_langgraph/integrations/alerting.py)
      • PagerDuty connector
      • Slack webhook integration
      • Email alerts via SendGrid/SES
      • Configurable alert routing
    • Prometheus Client (src/mcp_server_langgraph/monitoring/prometheus_client.py)
      • Real uptime/downtime queries
      • Response time metrics (p50, p95, p99)
      • Error rate calculations
      • SLA compliance metrics
    • Storage Backend Abstraction (src/mcp_server_langgraph/core/storage/)
      • Conversation storage interface
      • Audit log storage interface
      • User profile storage interface
      • PostgreSQL implementation
      • S3/GCS cold storage support
    • User Provider Integration
      • User enumeration API
      • Session analytics
      • MFA statistics
      • RBAC role queries
Success Criteria: 0 TODOs, 100% test coverage, ADR-0023 documenting decisions

3. Security Hardening

  • Goal: Production-grade security posture
  • Work Items:
    • Rate limiting middleware (per-user, per-IP, per-endpoint)
    • Request size limits (protect against DoS)
    • CSRF protection for web endpoints
    • Security headers (HSTS, CSP, X-Frame-Options, etc.)
    • Dependency vulnerability scanning (Dependabot + Snyk)
    • security.txt for responsible disclosure
    • Security audit and penetration testing
Success Criteria: 0 critical/high vulnerabilities, security audit report, OWASP Top 10 compliance

P1: Performance & Reliability (v2.7.0 - December 2025)

4. Resilience Patterns

  • Goal: 99.99% uptime SLA
  • Work Items:
    • Circuit breaker for external services (LLM, Redis, OpenFGA)
    • Retry logic with exponential backoff + jitter
    • Request timeout enforcement
    • Bulkhead isolation for resource pools
    • Graceful degradation strategies
    • Health check improvements (deep vs shallow)
Success Criteria: < 0.01% error rate under load, ADR-0023: Resilience Patterns

5. Performance Optimization

  • Goal: 30% latency reduction, 20% cost savings
  • Work Items:
    • Redis connection pooling for checkpointer
    • Response caching (Redis) for frequent queries
    • Request/response compression (gzip, br)
    • LLM optimization:
      • Prompt caching (Claude, Gemini)
      • Streaming responses
      • Token usage tracking per user
    • Database query optimization
    • Load testing with k6 (baseline + benchmarks)
Success Criteria: p95 latency < 500ms, p99 < 1000ms, 20% cost reduction

Q1 2026: Developer Experience & Quality 🚀

Theme: “Developer Delight” Release: v3.0.0 (January 2026), v3.1.0 (March 2026)

6. Local Development Enhancements (v3.0.0)

  • Goal: < 5 min developer onboarding
  • Work Items:
    • docker-compose.dev.yml with hot reload
    • Dev container (VS Code .devcontainer)
    • One-command setup script (scripts/dev-setup.sh)
    • Pre-commit hooks (black, isort, mypy, bandit)
    • Developer onboarding checklist
    • Local secrets management (.env templates)
Success Criteria: New contributor PR in < 30 min from clone

7. Testing Infrastructure (v3.0.0)

  • Goal: 90% test coverage, < 1% mutation score gap
  • Work Items:
    • Mutation testing in CI (weekly schedule)
    • Visual regression tests (Grafana dashboards)
    • Contract testing (MCP protocol compliance)
    • Chaos engineering (pod kills, network latency)
    • Load testing suite (k6 scenarios)
    • Performance regression detection
Success Criteria: 90%+ coverage, mutation score > 80%, < 5% performance regression

8. API & Documentation (v3.1.0)

  • Goal: Best-in-class developer documentation
  • Work Items:
    • Interactive API explorer (Swagger UI/Redoc)
    • OpenAPI 3.1 spec with examples
    • Video tutorials (YouTube series)
      • Setup (5 min)
      • Deployment (10 min)
      • Advanced features (15 min)
    • Troubleshooting decision trees
    • Migration guides (v2 → v3)
    • C4 architecture diagrams
Success Criteria: 100% API coverage in OpenAPI, 10K+ doc views/month

Q2 2026: Advanced Capabilities 🧠

Theme: “Enterprise Scale” Release: v3.2.0 (April 2026), v3.3.0 (June 2026)

9. Advanced Observability (v3.2.0)

  • Goal: ML-powered operational insights
  • Work Items:
    • Anomaly detection (ML-based):
      • Response time anomalies
      • Error rate spikes
      • Cost anomalies
    • Distributed tracing enhancements:
      • Service dependency graph
      • Critical path analysis
      • Trace sampling strategies
    • Cost tracking:
      • Per-user LLM costs
      • Per-conversation attribution
      • Cost forecasting
    • SLO-based alerting:
      • Error budget tracking
      • Multi-window alerts
      • Burn rate analysis
    • Real User Monitoring (RUM):
      • Sentry/DataDog RUM integration
      • User session replay
      • Performance by geography
Success Criteria: 5 new Grafana dashboards, < 5 min MTTR, 90% cost attribution accuracy

10. Multi-Tenancy (v3.3.0)

  • Goal: SaaS-ready multi-tenant architecture
  • Work Items:
    • Tenant isolation:
      • Data isolation (PostgreSQL row-level security)
      • Compute isolation (namespace per tenant)
      • Auth isolation (tenant-scoped tokens)
    • Resource quotas:
      • Request rate limits per tenant
      • Storage quotas
      • LLM token limits
    • Tenant management API:
      • Tenant CRUD operations
      • Tenant configuration
      • Tenant user management
    • Tenant onboarding:
      • Self-service sign-up
      • Guided setup wizard
      • Default configurations
    • Tenant analytics:
      • Usage dashboards
      • Cost per tenant
      • Performance metrics
Success Criteria: 100+ concurrent tenants, < 1% cross-tenant data leakage, ADR-0024

Q3 2026: Ecosystem & Community 🌍

Theme: “Ecosystem Growth” Release: v3.4.0 (July 2026), v3.5.0 (September 2026)

11. Agent Marketplace (v3.4.0)

  • Goal: 50+ community-contributed agents
  • Work Items:
    • Agent template registry:
      • Searchable catalog
      • Version management
      • Dependency tracking
    • Agent discovery API:
      • Search by tags, categories
      • Popularity ranking
      • Usage statistics
    • Agent CLI:
      • agent publish command
      • agent search command
      • agent install command
    • Agent analytics:
      • Download counts
      • User ratings/reviews
      • Performance benchmarks
    • Agent submission workflow:
      • Template validation
      • Security scanning
      • Automated testing
Success Criteria: 50+ published agents, 1000+ total downloads, 4.5+ avg rating

12. Integration Ecosystem (v3.5.0)

  • Goal: 10+ official integrations
  • Work Items:
    • Communication Platforms:
      • Slack bot (slash commands)
      • Discord bot
      • Microsoft Teams
    • DevOps Tools:
      • GitHub Actions (marketplace)
      • Terraform modules (registry)
      • Helm charts (artifact hub)
    • API Tools:
      • Postman collection (public workspace)
      • Insomnia workspace
      • REST Client (VS Code)
    • Notifications:
      • Webhook API for events
      • Server-sent events (SSE)
      • WebSocket support
    • CI/CD:
      • GitLab CI templates
      • CircleCI orbs
      • Jenkins plugin
Success Criteria: 10+ integrations, 500+ GitHub Action installs, 100+ Terraform module downloads

Q4 2026: AI-Powered Features 🤖

Theme: “Intelligent Operations” Release: v4.0.0 (October 2026), v4.1.0 (December 2026)

13. Self-Healing Systems (v4.0.0)

  • Goal: 90% automated incident resolution
  • Work Items:
    • Automated incident detection
    • Root cause analysis (LLM-powered)
    • Automated remediation:
      • Auto-scaling adjustments
      • Configuration rollback
      • Service restarts
    • Incident playbooks (LLM-generated)
    • Post-incident reports (auto-generated)
Success Criteria: 90% incidents auto-resolved, < 2 min MTTR for known issues

14. Intelligent Agent Optimization (v4.1.0)

  • Goal: Autonomous agent performance tuning
  • Work Items:
    • A/B testing framework for prompts
    • Automated prompt optimization
    • Model selection recommendations
    • Agent performance profiling
    • Resource allocation optimization
Success Criteria: 20% improvement in agent quality, 30% cost reduction

2027 & Beyond: Strategic Initiatives 🔮

Potential Focus Areas (TBD)

15. Edge Deployment

  • Kubernetes edge clusters
  • Cloudflare Workers integration
  • WebAssembly agent runtime
  • Offline-first capabilities

16. Advanced Security

  • Homomorphic encryption for agent state
  • Federated learning for model improvements
  • Zero-knowledge proofs for privacy
  • Differential privacy for analytics

17. Agent Collaboration

  • Multi-agent orchestration
  • Agent-to-agent communication
  • Shared knowledge bases
  • Collaborative task solving

18. Industry-Specific Solutions

  • Healthcare agents (HIPAA-compliant)
  • Financial services (SOC 2, PCI DSS)
  • Legal tech (attorney-client privilege)
  • Education (FERPA compliance)

How to Contribute

Community Priorities

We actively seek community input on roadmap priorities. Vote and discuss at:

Contributing to Roadmap Items

  1. Check Current Status: Review Projects
  2. Find Open Issues: Look for help-wanted or good-first-issue labels
  3. Propose New Features: Create feature request with business case
  4. Submit PRs: Follow CONTRIBUTING.md

Success Metrics

Technical Health

  • CI/CD: 100% passing workflows
  • Test Coverage: 90%+
  • Performance: p95 < 500ms, p99 < 1000ms
  • Reliability: 99.99% uptime SLA
  • Security: 0 critical/high vulnerabilities

Adoption

  • GitHub Stars: 1000+ (currently ~50)
  • Contributors: 50+ (currently ~5)
  • Deployments: 100+ production
  • Community: 500+ Discord/Slack members

Business Impact

  • Cost Reduction: 40% via optimizations
  • Time to Production: < 1 day from clone to deploy
  • Incident MTTR: < 5 min
  • Agent Quality: 30% improvement in user satisfaction

Version History

VersionRelease DateThemeKey Features
v2.5.0Oct 2025Distributed StateRedis checkpointing, Multi-cloud logs (Completed)
v2.6.0Oct 2025CI/CD & TODOsPipeline fixes, Production completeness (Completed)
v2.7.0Oct 2025Performance & SecurityResilience, Caching, Optimization, Security hardening (Current)
v2.8.0Nov 2025Advanced FeaturesAdditional optimizations and feature enhancements
v3.0.0Jan 2026DevExDev containers, Testing, Onboarding
v3.1.0Mar 2026DocumentationAPI explorer, Tutorials, Diagrams
v3.2.0Apr 2026ObservabilityAnomaly detection, Cost tracking
v3.3.0Jun 2026Multi-tenancySaaS-ready, Isolation, Quotas
v3.4.0Jul 2026MarketplaceAgent registry, CLI, Analytics
v3.5.0Sep 2026IntegrationsSlack, Terraform, GitHub Actions
v4.0.0Oct 2026Self-HealingAuto-remediation, RCA, Playbooks
v4.1.0Dec 2026AI OptimizationPrompt tuning, Model selection

Disclaimer

This roadmap is a living document and subject to change based on:
  • Community feedback and priorities
  • Technical discoveries and constraints
  • Market conditions and competitive landscape
  • Resource availability and capacity
Last Updated: October 15, 2025 Next Review: January 1, 2026

Questions?

Let’s build the future of production-ready AI agents together! 🚀