Versions:
* arcade-mcp\==1.0.0rc1
* arcade-mcp-server\==1.0.0rc1
* arcade-core\==2.5.0rc1
* arcade-tdk\==2.6.0rc1
* arcade-serve\==2.2.0rc1
### Summary
Adds first-class MCP support across Arcade, introduces a new MCP server
and CLI, unifies the project under the arcade-mcp name, overhauls
templates/scaffolding, and improves developer tooling, secrets
management, and examples.
### Highlights
- **MCP Server & Core**
- New MCP server with stdio and HTTP/SSE transports, session management,
resumability, and lifecycle handling.
- FastAPI-like `MCPApp` for building servers with lazy init; integrated
worker+MCP HTTP app option.
- Middleware system (logging and error handling), robust exception
hierarchy, and Pydantic-based settings.
- Async-safe managers for tools, resources, and prompts backed by
registries and locks.
- Developer-facing, transport-agnostic runtime context interfaces (logs,
tools, prompts, resources, sampling, UI, notifications).
- Conversion from Arcade ToolDefinition to MCP tool schema; OpenAI JSON
tool schema converter.
- Parser supports `@app.tool`/`@app.tool(...)` decorators.
- **CLI**
- New `mcp` command to run MCP servers with stdio or HTTP/SSE.
- New `secret` command to set/list/unset tool secrets (supports .env
input, preserves original casing for lookups).
- `new` command refactored; option to create a full toolkit package with
scaffolding.
- `chat` command removed.
- `serve.py` imports updated to `arcade_serve.fastapi.telemetry`;
version retrieval now uses `arcade-mcp`.
- `show.py` refactor to use new local catalog utilities.
- `display_tool_details` improved: adds “Default” column and handles
nested properties.
- **Configuration & Discovery**
- New `configure.py` to set up Claude Desktop, Cursor, and VS Code to
connect to local or Arcade Cloud MCP servers.
- Discovery utilities to find/install toolkits, build `ToolCatalog`s,
analyze files for tools, load kits from directories (pyproject parsing),
and build minimal toolkits.
- Better handling of provider API key resolution and evaluation suite
loading.
- **Templates & Scaffolding**
- Reorganized template structure (minimal vs full); moved
`.pre-commit-config.yaml`, `.ruff.toml`, license, Makefile, README,
tests, and tools layout to correct paths.
- Minimal template adds `.env.example` for runtime secret injection.
- Template pyproject updated for MCP servers; includes sample server
with greeting and secret-reveal tools.
- Authorization flow in templates simplified.
- **Repo-wide Renaming & Examples**
- Migrates references from `arcade-ai` to `arcade-mcp` across READMEs,
scripts, and package metadata.
- Examples updated (LangChain/LangGraph/AI SDK/TypeScript) and package
name changed to `arcade-mcp-sdk`.
- **Evals & Core Utilities**
- Evals now use OpenAI tooling format (`OpenAIToolList`, `to_openai`);
`tool_eval` takes `provider_api_key`.
- Core utilities: fixed `does_function_return_value` by dedenting before
parse; version bump to `2.5.0rc1` and dependency cleanup.
- **Tooling & CI**
- `setup-uv-env` action splits toolkit vs contrib dependency
installation.
- Pre-commit: excludes `libs/arcade-mcp-server/mkdocs.yml` and
`libs/tests/` from YAML and Ruff hooks; Ruff per-file ignores (e.g.,
C901 in `libs/**/*.py`, TRY400 in server docs paths).
- Makefile updates for uv env setup, quality checks, tests, builds, and
new `shell` target.
- Added Makefile to MCP server library to streamline dev workflow.
- **Cleanup**
- Removed `claude.json` config.
- Simplified stdio entrypoint; removed unused imports (`arcade_gmail`,
`arcade_search`).
### Breaking Changes
- **CLI**: `chat` command removed; use `mcp`, `secret`, and updated
`new`.
- **Naming**: All users should update references from `arcade-ai` to
`arcade-mcp`.
- **Templates**: File paths moved; downstream scripts referencing old
template locations may need updates.
### Getting Started
- Run an MCP server:
- `arcade mcp --stdio --toolkits your_toolkit`
- `arcade mcp --http --toolkits your_toolkit`
- Manage secrets:
- `arcade secret set your_toolkit KEY=value`
- `arcade secret list your_toolkit`
- `arcade secret unset your_toolkit KEY`
- Configure clients:
- `arcade configure` to set up Claude Desktop, Cursor, and VS Code for
local/Arcade Cloud MCP.
---------
Co-authored-by: Sam Partee <sam@arcade-ai.com>
Co-authored-by: Shub <125150494+shubcodes@users.noreply.github.com>
This is the first of a few PRs. Deploy to staging will fail until we
have `arcade-core`, `arcade-serve`, and `arcade-ai` released to PyPI.
This PR will release `arcade-core` to PyPI.
### PR Description
* Adds workflow that checks for changes in any pyproject.toml, and if
its version has changed, then tests, builds wheel, then publishes to
PyPI
* Updates the Dockerfile for our new structure
* Updates porter yamls
* Updates `make full-dist`
* Removes a couple unused workflows
Check out https://github.com/ArcadeAI/arcade-ai/actions/runs/15622059209
to see how the new workflow works (note that it failed publishing to
PyPI on purpose)
This PR enhances the Docker build and deployment process for the Arcade
Worker by:
- **Modularizing Docker Builds:**
- Introduces a new `INSTALL_TOOLKITS` build argument in the `Dockerfile`
to conditionally include toolkits. this enables the creation of a
`arcadeai/worker-base` which can be used to build custom containers in a
multi-stage build. an example of this is included in the example dir.
- Adds `docker-base` Makefile target to build a lightweight base image
without toolkits.
- **Publishing to GitHub Container Registry (GHCR):**
- Adds Makefile targets `publish-ghcr` and `gh-login` for pushing images
to GHCR.
- Supports publishing both base and full images with toolkits to GHCR.
- **Docker Compose:**
- Add Docker compose file and setup
- Renames the `actor` service to `worker`
- Adds an `nginx` service in `docker-compose.yml` to proxy requests to
the Arcade Engine.
- Introduces an `nginx.conf` file for the Nginx service.
- **Streamlining Toolkit Installation:**
- Moves toolkit installation from the `start.sh` script to the Docker
build process.
- Creates a `toolkits.txt` file to manage toolkit dependencies which can
be edited easily when we want to add a new toolkit. Developers can also
use this approach as shown in the example.
- **Improving Configuration Files:**
- Updates `docker.engine.yaml` and `env.example` to align with the new
setup.
TODO:
- CI/CD needs to be adjusted so that images are pushed to ghcr on
release.
- AWS resources need to be renamed actor -> worker @EricGustin
This can go in after the above two items are resolved.
---------
Co-authored-by: Wils Dawson <wils@arcade-ai.com>
Co-authored-by: Eric Gustin <34000337+EricGustin@users.noreply.github.com>
Co-authored-by: sdreyer <sterling@arcade-ai.com>
Co-authored-by: Sterling Dreyer <sdreyer21@gmail.com>
Co-authored-by: Nate Barbettini <nathanaelb@gmail.com>
