Cloudflare AI
About
# Cloudflare AI This repository contains various packages and demo apps related consuming Cloudflare's AI offerings on the client-side. It is a monorepo powered by [Nx](https://nx.dev/) and [Changesets](https://github.com/changesets/changesets). ## Packages -…
Details
- Author
- alvinmrrry
- Downloads
- 161
- Categories
- Cloud Service, AI
Jump to
- Monorepo managed with Nx and Changesets
- Includes workers-ai-provider for Vercel AI SDK integration
- Supports local development and testing
- Provides demo apps for client-side AI consumption
- Uses Changesets for versioning and release
Setting up with Highlight
This MCP is not yet compatible with Highlight’s one-click setup. However, you can still use it with Highlight by following these steps:
- Download and install Highlight from highlightai.com/download
- Navigate to the plugins tab and select "Add Custom Plugin"
-
Configure the plugin with the settings below
Plugin Name
Cloudflare AICommand (node, npx, python, etc.)Please refer to the README for specific instructions on how to obtain API keys or other required environment variables.
- Enable "Start Automatically" if you want the plugin to start when Highlight launches
From the repository
Clone the repository, install dependencies with npm install, then use Nx commands to develop or test apps. For example, run npx nx dev <app-name> to start a development server.
Claude Desktop / Cursor
Paste into your MCP client config file to install this server.
{
"mcpServers": {
"cloudflare ai": {
"cloiudflare_mcp_server": {
"command": "npx",
"args": [
"nx",
"dev",
"tool-calling"
]
}
}
}
}
McpServers
{
"cloiudflare_mcp_server": {
"command": "npx",
"args": [
"nx",
"dev",
"tool-calling"
]
}
}
Cloudflare AI
This repository contains various packages and demo apps related consuming Cloudflare's AI offerings on the client-side. It is a monorepo powered by Nx and Changesets.
Packages
- workers-ai-provider: A custom provider that enables Workers AI's models for the Vercel AI SDK.
Local Development
1. Clone the repository.
git clone git@github.com:cloudflare/ai.git
2. Install Dependencies.
From the root directory, run:
cd ai
npm install
3. Develop.
To start a development server for a specific app (for instance, tool-calling):
npx nx dev tool-calling
Ideally all commands should be executed from the repository root with the npx nx prefix. This will ensure that the dependency graph is managed correctly, e.g. if one package relies on the output of an other.
4. Testing and Linting.
- To execute your continuous integration tests for a specific project (e.g., workers-ai-provider):
npx nx test:ci workers-ai-provider
- To lint a specific project:
npx nx lint my-project
- To run a more comprehensive sweep of tasks (lint, tests, type checks, build) against one or more projects:
npx nx run-many -t lint test:ci type-check build -p "my-project other-project"
5. Other Nx Tasks.
- build: Compiles a project or a set of projects.
- test: Runs project tests in watch mode.
- test:ci: Runs tests in CI mode (no watch).
- test:smoke: Runs smoke tests.
- type-check: Performs TypeScript type checks.
Creating a New Demo App
In order to scaffold a new demo app, you can use the create-demo script. This script will create a new demo app in the demos directory.
npm run create-demo <demo-name>
After creating the app, npm install will be run to install the dependencies, and npx nx cf-typegen <demo-name> will be run to generate the types for the demo app. Then it's simply a case of starting the app with:
npx nx dev <demo-name>
Contributing
We appreciate contributions and encourage pull requests. Please follow these guidelines:
1. Project Setup: After forking or cloning, install dependencies with npm install.
2. Branching: Create a new branch for your feature or fix.
3. Making Changes:
- Add or update relevant tests.
- On pushing your changes, automated tasks will be run (courtesy of a Husky pre-push hook).
4. Changesets: If your changes affect a published package, run npx changeset to create a changeset. Provide a concise summary of your changes in the changeset prompt.
5. Pull Request: Submit a pull request to the main branch. The team will review it and merge if everything is in order.
Release Process
This repository uses Changesets to manage versioning and publication:
1. Changeset Creation: Whenever a change is made that warrants a new release (e.g., bug fixes, new features), run:
npx changeset
Provide a clear description of the changes.
2. Merging: Once the changeset is merged into main, our GitHub Actions workflows will:
- Detect the changed packages, and create a Version Packages PR.
- Increment versions automatically (via Changesets).
- Publish any package that has a version number to npm. (Demos and other internal items do not require versioning.)
3. Publication: The release workflow (.github/workflows/release.yml) will run on every push to main. It ensures each published package is tagged and released on npm. Any package with a version field in its package.json will be included in this process.
---
For any queries or guidance, kindly open an issue or submit a pull request. We hope this structure and process help you to contribute effectively.
Sign in to leave a review
Use Google, GitHub, or an email account so ratings stay tied to real people.
No reviews posted yet.

