Agent Skills/saas-and-mcp-architecture
System Architecture & SaaS SystemsSKILL.md

saas-and-mcp-architecture

SaaS Connector Hub, encrypted secret vaults, cloud storage, and MCP tool expansions.

Install via CLI:skills-sync pull saas-and-mcp-architecture

SaaS Connector & Autonomous MCP Architecture Skill

This skill guides AI agents in implementing and extending the enterprise SaaS capabilities of the **GitHub Backup Automation System**, including UI connectors, encrypted secret vaults, multi-cloud storage backends, and Model Context Protocol (MCP) server integrations.


1. UI Connector Hub & Encrypted Credential Vault

When implementing or modifying connectors:

  • **Zero `.env` for Users**: User-provided API keys and connections MUST be stored in the `connectors` database table with AES-256-GCM envelope encryption.
  • **OpenRouter Pool**: Support multiple OpenRouter API keys with in-memory round-robin rotation, latency tracking, and automatic failover.
  • **Database Connectors**: Provide connection validation and branch selection for Neon, Supabase, and self-hosted PostgreSQL.
  • **Health Checks**: Connectors must implement a periodic health check loop (`last_health_check`, `health_status`).

  • 2. Pluggable Multi-Cloud Storage Engine

    When extending backup archiving and storage destinations:

  • All storage drivers must implement the Go `StorageProvider` interface:
  • ```go

    type StorageProvider interface {

    Upload(ctx context.Context, key string, r io.Reader, size int64) error

    Download(ctx context.Context, key string, w io.Writer) error

    VerifyChecksum(ctx context.Context, key string, expectedSHA256 string) (bool, error)

    Delete(ctx context.Context, key string) error

    List(ctx context.Context, prefix string) ([]ObjectMetadata, error)

    }

    ```

  • Providers to support: AWS S3, Cloudflare R2, MinIO, Google Drive (OAuth), Azure Blob, Local Filesystem.
  • Streaming uploads should stream directly from memory / pipe to the cloud without requiring massive local disk scratch space.

  • 3. Model Context Protocol (MCP) Server Integration

    When adding new MCP tools to the LangChain / FastAPI agent:

  • **Protocol Adherence**: Connect via standard MCP JSON-RPC protocol over Stdio or SSE.
  • **Human-In-The-Loop (HITL) Enforcement**:
  • - Read-only tools (`query_database_state`, `list_backups`, `inspect_container`) execute automatically.

    - Destructive or external actions (`restart_service`, `restore_database_snapshot`, `trigger_incident_alert`, `apply_schema_migration`) MUST trigger the HITL confirmation protocol via SSE event.

  • **Structured Response Synthesis**:
  • - All MCP tool outputs must be synthesized concisely in structured Markdown without emojis or conversational filler.


    4. Exposing the Native GitHub Backup MCP Server (`github-backup-mcp`)

    When maintaining or extending the native MCP server exposed to external IDEs/agents:

  • Implement tools under `github-backup-mcp`:
  • - `get_system_health`: Real-time status of services, DB, and latest runs.

    - `trigger_backup_run`: Autonomous run triggers for specified repos.

    - `search_observatory_knowledge`: Hybrid pgvector search across system logs.

    - `verify_archive_integrity`: SHA-256 validation of `.tar.gz` archives.

    - `extract_backup_file`: Surgical extraction from remote S3/R2 backups.

  • Expose over both standard stdio transport and HTTP/SSE transport for web-based agents.