MCP Server Framework and Tool Development library for building custom capabilities into agents.
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Sam Partee b6b4cd0a4c
🏗️ Restructure: Multi-Package Architecture + uv Migration (#412)
### Overview
Major restructuring from monolithic `arcade-ai` package to modular
library architecture with standardized uv-based dependency management.

![arcade-ai Monorepo
(2)](https://github.com/user-attachments/assets/25f102b0-bb87-4a04-9701-d227d05664b1)

### New Package Structure
- **`arcade-tdk`** - Lightweight toolkit development kit (core
decorators, auth)
- **`arcade-core`** - Core execution engine and catalog functionality  
- **`arcade-serve`** - FastAPI/MCP server components
- **`arcade-ai`** - Meta package that includes CLI functionality.
Optionally include evals via the `evals` extra. Optionally include all
packages via the `all` extra.

### Key Benefits
- **Lighter Dependencies**: Toolkits now depend only on `arcade-tdk` (~2
deps) vs full `arcade-ai` (~30+ deps)
- **Faster Builds**: uv provides 10-100x faster dependency resolution
and installation
- **Better Modularity**: Clear separation of concerns, consumers import
only what they need
- **Standard Tooling**: Eliminates custom poetry scripts, uses standard
Python packaging

### Migration Impact
- All 20 toolkits converted from poetry → uv with `arcade-tdk`
dependencies plus `arcade-ai[evals]` and `arcade-serve` dev
dependencies. When developing locally, devs should install toolkits via
`make install-local`.
- Modern Python 3.10+ type hints throughout
- Standardized build system with hatchling backend
- Enhanced Makefile with robust toolkit management commands
- Removed `arcade dev` CLI command
- Reduce the number of files created by `arcade new` and add an option
to not generate a tests and evals folder.

This foundation enables faster development cycles and cleaner dependency
chains for the growing toolkit ecosystem.

### Todo After this PR is merged
- [ ] Post-merge workflow(s) (release & publish containers, etc)
- [ ] Release order plan. @EricGustin suggests releasing in the
following order:
    1. `arcade-core` version 0.1.0
    2. `arcade-serve` version 0.1.0 and `arcade-tdk` version 0.1.0
    3. `arcade-ai` version 2.0.0
4. Patch release for all toolkits (all changes in toolkits are internal
refactors)
- [ ] [Update docs](https://github.com/ArcadeAI/docs/pull/318)

---------

Co-authored-by: Eric Gustin <eric@arcade.dev>
Co-authored-by: Eric Gustin <34000337+EricGustin@users.noreply.github.com>
2025-06-11 16:48:17 -07:00
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contrib Common changes in all toolkits (#345) 2025-04-04 09:32:37 -07:00
docker Jira Toolkit (#407) 2025-06-11 12:06:33 -03:00
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libs 🏗️ Restructure: Multi-Package Architecture + uv Migration (#412) 2025-06-11 16:48:17 -07:00
porter Build staging from source (#421) 2025-06-10 12:05:00 -07:00
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.editorconfig Fix ruff (#64) 2024-09-25 09:47:30 -07:00
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LICENSE Update README and LICENSE (#220) 2025-01-23 19:43:48 -08:00
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worker.toml Worker Deploy (#278) 2025-03-13 09:02:36 -07:00

DocumentationToolsQuickstartContact Us

Arcade AI Platform

Arcade is a developer platform that lets you build, deploy, and manage tools for AI agents.

This repository contains the core Arcade libraries, organized as separate packages for maximum flexibility and modularity:

  • arcade-core - Core platform functionality and schemas
  • arcade-tdk - Tool Development Kit with the @tool decorator
  • arcade-serve - Serving infrastructure for workers and MCP servers
  • arcade-evals - Evaluation framework for testing tool performance
  • arcade-cli - Command-line interface for the Arcade platform

diagram

To learn more about Arcade.dev, check out our documentation.

Pst. hey, you, give us a star if you like it!

GitHub stars

Quick Start

Installation

For development, install all packages with dependencies using uv workspace:

# Install all packages and dev dependencies
uv sync --extra all --dev

# Or use the Makefile (includes pre-commit hooks)
make install

For production use, install individual packages as needed:

pip install arcade-ai          # CLI
pip install 'arcade-ai[evals]' # CLI + Evaluation framework
pip install 'arcade-ai[all]'   # CLI + Serving infra + eval framework + TDK
pip install arcade_serve       # Serving infrastructure
pip install arcade-tdk         # Tool Development Kit

Development

Use the Makefile for standard tasks:

# Run tests
make test

# Run linting and type checking
make check

# Build all packages
make build

# See all available commands
make help

Client Libraries

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