Flyte MCP Server

by flyteorg• 7.8k•• Scanned•Claim this listing•Request removal
Data Science & MLagent runtimeagentsai runtimekubernetes clustermachine learning

Type-safe, distributed orchestration of agents, ML pipelines, and real-time inference on your k8s — in pure Python with async/await, also other languages (rust, go and ts)

Flyte is an open-source mcp server by flyteorg, written mainly in Go, with 7,846 GitHub stars and the Apache-2.0 license. Its code was last updated Oct 31, 2026. The latest PyPI release is flyte 2.13.4, published Nov 13, 2026, with 116,972 downloads last week.

[!IMPORTANT]

Flyte 2 is now generally available!

Read more in the announcement here.

Want to try Flyte 2 locally? Run the Devbox locally, or you can try it on Github Codespaces.

Open in GitHub Codespaces

Looking for Flyte 1? Go to the master branch, where Flyte 1 is now maintained.


Flyte 2

Reliably orchestrate ML pipelines, models, and agents at scale — in pure Python.

Version Python License Docs SDK Reference CLI Reference

Flyte is a Graduated project of the LF AI & Data Foundation.

<a href="https://lfaidata.foundation/projects/flyte/"> <img src="https://raw.githubusercontent.com/flyteorg/static-resources/main/flyte/readme/flyte_and_lf.png" alt="Flyte and LF AI & Data Logo" width="250"> </a>

10 minutes to Flyte 2

The quickest way to get a feel for Flyte 2 is in this notebook:

Try In Colab

Install

uv pip install flyte

For the full SDK and development tools, see the flyte-sdk repository.

Example

import asyncio
import flyte

env = flyte.TaskEnvironment(
    name="hello_world",
    image=flyte.Image.from_debian_base(python_version=(3, 12)),
)

@env.task
def calculate(x: int) -> int:
    return x * 2 + 5

@env.task
async def main(numbers: list[int]) -> float:
    results = await asyncio.gather(*[
        calculate.aio(num) for num in numbers
    ])
    return sum(results) / len(results)

if __name__ == "__main__":
    flyte.init()
    run = flyte.run(main, numbers=list(range(10)))
    print(f"Result: {run.result}")
<table> <tr><td><b>Python</b></td><td><b>Flyte CLI</b></td></tr> <tr> <td>
python hello.py
</td> <td>
flyte run hello.py main --numbers '[1,2,3]'
</td> </tr> </table>

Serve a Model

# serving.py
from fastapi import FastAPI
import flyte
from flyte.app.extras import FastAPIAppEnvironment

app = FastAPI()
env = FastAPIAppEnvironment(
    name="my-model",
    app=app,
    image=flyte.Image.from_debian_base(python_version=(3, 12)).with_pip_packages(
        "fastapi", "uvicorn"
    ),
)

@app.get("/predict")
async def predict(x: float) -> dict:
    return {"result": x * 2 + 5}

if __name__ == "__main__":
    flyte.init_from_config()
    flyte.serve(env)
<table> <tr><td><b>Python</b></td><td><b>Flyte CLI</b></td></tr> <tr> <td>
python serving.py
</td> <td>
flyte serve serving.py env
</td> </tr> </table>

Local Development Experience

Install the TUI for a rich local development experience:

uv pip install flyte[tui]

Watch the local development experience

Open Source Backend

The open source Flyte 2 backend is available in this repository. You can deploy it on your own Kubernetes cluster using Helm. See the deployment docs for setup instructions and the Backend README for backend architecture and development.

If you need an enterprise-ready, production-grade backend for Flyte 2 today, it is available on Union.ai.

Learn More

Contributing

We welcome contributions! See the Backend README for backend development, or join us on slack.flyte.org.

Sponsors

CI container image builds for this repository are sponsored by Depot — fast, native multi-arch Docker builds with persistent layer caching.

Built with Depot

License

Apache 2.0 — see LICENSE.

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