Author, migrate, run, debug
Author, run, and deploy Flyte 2 workflows, apps, and agents with skills grounded in the Flyte SDK and documentation. In your AI web, search Flyte docs and SDK examples. More
MCP connector Server URL https://flyte-mcp.apps.demo.hosted.unionai.cloud/flyte-mcp/mcpCopy Login None Protocol MCP 2025-11-25 Instructions Read-only Flyte search MCP. Use the search tools to grep Flyte SDK examples, docs examples, and the full llms.txt.
Tools Reads data3 search_ search_ search_
Skills 20 in the ChatGPT listing
Deploy flyte kind Deploy a complete Flyte stack (flyte-binary + a hosted PostgreSQL + an object store) onto a kind cluster, running on the user's own machine or a DigitalOcean VM (droplet). Deploy flyte kind vm Deploy Flyte on a kind cluster onto any host — your local machine, or a fresh cloud VM (DigitalOcean, AWS EC2, or GCP Compute Engine). Flyte deploy aws Use when deploying a Flyte v2 (flyte-binary / flyte2) cluster on AWS from scratch — provisions EKS + S3 + RDS PostgreSQL + AWS Load Balancer Controller, then helm-installs the flyte-binary chart behind an ALB, with optional TLS and Okta SSO. Flyte migrate Entry-point orchestrator for porting Flyte 1 (flytekit) code to Flyte 2 (flyte). Flyte migrate config Migrates Flyte 1 task configuration, container images, resources, caching, secrets, scheduling, and CLI/config-file usage to Flyte 2 equivalents. Flyte migrate control flow Migrates Flyte 1 branching, dynamic workflows, failure handling, and fan-out to native Flyte 2 Python. Flyte migrate data io Migrates Flyte 1 data types and offloaded I/O to Flyte 2. Flyte migrate ml Migrates Flyte 1 machine learning code to Flyte 2 and unlocks net-new v2 patterns. Flyte migrate slurm Migrates Slurm (sbatch/srun) HPC workloads to Flyte 2 (the flyte Python SDK) — job scripts become typed tasks, `#SBATCH` pragmas become TaskEnvironment config, job arrays become flyte.map, and multi-node training becomes a clustered task environment. Flyte migrate tasks workflows Migrates Flyte 1 tasks and workflows to Flyte 2, where the @task, @workflow, and @dynamic decorators collapse into a single @env.task on a flyte.TaskEnvironment and a workflow becomes a task that calls other tasks. Flyte sdk agent Builds durable agents with Flyte 2 — ReAct patterns, Plan-and-Execute, LangGraph integration, PydanticAI integration, OpenAI Agents SDK integration, agent memory, MCP tool integration, skills, and agent chat UI. Flyte sdk app Builds and serves Flyte 2 apps — FastAPI, Streamlit, vLLM, SGLang, WebSocket, and browser apps. Flyte sdk data Handles data engineering patterns: ETL pipelines, data processing, data quality checks, fanout/map tasks, conditions, dynamic workflows, and batch data transformations. Flyte sdk eval Builds minimal evaluation harnesses (unit tests + small-run workflows) and suggests ways to validate correctness and performance early. Flyte sdk ml Handles ML workload patterns: model training, hyperparameter optimization, experiment tracking, model evaluation and selection, batch inference, real-time serving, and model monitoring. Flyte sdk optimize Suggests performance improvements (task granularity, caching, resource requests, data format changes) using observed run metadata when available. Flyte sdk run Runs Flyte 2 workflows, interacts with runs and actions, retrieves logs and data, and manages run lifecycle. Flyte sdk ship Generates flyte.Image specs, Dockerfiles, dependency management, image tagging strategy, and reproducible build instructions for Flyte tasks. Flyte sdk types Guides correct types, I/O, and serialization for common data (Pandas, Arrow, Parquet, images, audio, HF datasets), including data locality and storage best practices. Start dex local Deploy Dex as a local in-cluster OIDC provider (IdP stand-in) for a kind-based Flyte deployment, so oauth2-proxy can be tested with no cloud account or real users. 
