arcade-mcp/libs/arcade-serve
Eric Gustin bdb7163313
Update ALL libs and their deps to most recent version of other libs (#716)
<!-- CURSOR_SUMMARY -->
> [!NOTE]
> Bumps versions across core libs and MCP packages, updates dependency
constraints accordingly, and refreshes CLI template defaults to the new
minimums.
> 
> - **Versions**:
>   - `arcade-core` → `3.4.0`
>   - `arcade-serve` → `3.1.5`
>   - `arcade-tdk` → `3.2.2`
>   - `arcade-mcp-server` → `1.11.1`
>   - Root `arcade-mcp` → `1.5.8`
> - **Dependency constraints**:
> - Raise minimums to `arcade-core>=3.4.0`, `arcade-serve>=3.1.5`,
`arcade-tdk>=3.2.2`, `arcade-mcp-server>=1.11.1` across affected
`pyproject.toml` files.
> - **CLI** (`libs/arcade-cli/arcade_cli/new.py`):
> - Update template minimums for `arcade-mcp` (`1.5.8`), `arcade-tdk`
(`3.2.2`), `arcade-serve` (`3.1.5`), and `arcade-mcp-server` (`1.11.1`).
> 
> <sup>Written by [Cursor
Bugbot](https://cursor.com/dashboard?tab=bugbot) for commit
b1b43e4d04810b0b49d4de6c943c23e69c99aad4. This will update automatically
on new commits. Configure
[here](https://cursor.com/dashboard?tab=bugbot).</sup>
<!-- /CURSOR_SUMMARY -->
2025-12-05 14:57:10 -08:00
..
arcade_serve Handle client disconnect for large payloads (#701) 2025-12-02 13:44:34 -08:00
pyproject.toml Update ALL libs and their deps to most recent version of other libs (#716) 2025-12-05 14:57:10 -08:00
README.md PyPI release arcade-serve and arcade-tdk (#432) 2025-06-13 13:06:11 -07:00

Arcade Serve

Serving infrastructure for Arcade tools and workers.

Overview

Arcade Serve provides the infrastructure for serving Arcade tools:

  • FastAPI Worker: High-performance FastAPI-based worker implementation
  • MCP Server: Model Context Protocol server for tool integration
  • Core Abstractions: Base worker classes and components
  • Authentication: Auth utilities and routing
  • Runtime Management: Tool execution and lifecycle management

Installation

pip install arcade-serve

Usage

To add a toolkit to a hosted worker such as FastAPI, you can register them in the worker itself. This allows you to explicitly define which tools should be included on a particular worker.

Here is an example of adding the math toolkit (pip install arcade-math) to a FastAPI Worker:

import arcade_math
from fastapi import FastAPI
from arcade_tdk import Toolkit
from arcade_serve.fastapi import FastAPIWorker

app = FastAPI()

worker_secret = os.environ.get("ARCADE_WORKER_SECRET")
worker = FastAPIWorker(app, secret=worker_secret)

worker.register_toolkit(Toolkit.from_module(arcade_math))

Here is an example of adding the math toolkit (pip install arcade-math) to a MCP Worker

import arcade_math
from arcade_core.catalog import ToolCatalog
from arcade_serve.mcp.stdio import StdioServer

# 1. Create and populate the tool catalog
catalog = ToolCatalog()
catalog.add_module(arcade_math)


# 2. Main entrypoint
async def main():
    # Create the worker with the tool catalog
    worker = StdioServer(catalog)

    # Run the worker
    await worker.run()


if __name__ == "__main__":
    import asyncio

    asyncio.run(main())

License

MIT License - see LICENSE file for details.