Agentic AI, MCP servers, and AI automations.

Saga Labs is an AI engineering studio. We design and ship agent flows, MCP servers, and AI automations that hold up in production. We also build and run our own consumer apps so the work you see in our portfolio reflects what we actually run, not what we promise.

What we ship

Agentic AI flows

Multi-step agents that plan, call tools, handle failure, and stay reliable when traffic ramps.

  • Tool-calling and function dispatch
  • Memory and state across turns
  • Error recovery and retries
  • Cost ceilings and abuse defence

MCP servers

Model Context Protocol servers that connect your data, models, and APIs to Claude, ChatGPT, Cursor and any MCP-compatible client.

  • OAuth 2.1 + PKCE + Dynamic Client Registration
  • Streamable HTTP transport
  • RFC 9728 protected resource metadata
  • Listings: MCP Registry, Smithery, Cursor

AI automations

Workflows that quietly replace manual ops. Either standalone or wired into existing tools.

  • Lead enrichment and outbound
  • Ticket triage and routing
  • Content and asset pipelines
  • Internal copilots and dashboards

Production hardening

Take an AI prototype that works on a laptop and turn it into something a paying customer can rely on.

  • Cost control and rate-limiting
  • Observability and tracing
  • Abuse defence and content policy
  • Migration from synchronous to job queue

Proof of execution

Dora MCP — multi-model AI generation server

Saga Labs designed, built and runs doravideo.com/mcp, an MCP server exposing fourteen image and video models behind one OAuth-secured endpoint. Used today from Claude, ChatGPT Pro and Enterprise, Cursor, OpenClaw and any other MCP-compatible client.

Official MCP Registry Smithery Cursor Directory OAuth 2.1 + DCR 14 models

How an engagement looks

  1. Brief and fit check Reply within a few business days with a fit assessment, scope notes, and a referral if the project belongs elsewhere.
  2. Discovery sprint One to two weeks. Shape the problem, document the system around it, agree what success looks like.
  3. Build Two to twelve weeks depending on scope. Asynchronous-first. Weekly review. Working software at every checkpoint.
  4. Production handover Documentation, runbook, monitoring, on-call notes. Optional retainer for incident support.
Email a project brief

Include problem, surface (iOS / web / MCP / backend), timeline, and budget range.