CC Workflow Studio
CC Workflow Studio
What is CC Workflow Studio?
CC Workflow Studio is a Model Context Protocol (MCP) server that allows AI assistants like Claude, Cursor, and VS Code to cc workflow studio
CC Workflow Studio
This server falls under the Business Applications category on MCPgee, the world's largest MCP server directory with 33,000+ servers.
Features
- CC Workflow Studio
Use Cases
Maintainer
Works with
Installation
Manual Installation
npx cc-wf-studioConfiguration
Configuration Details
claude_desktop_config.json
Performance
Response Metrics
Resource Usage
How to Set Up and Use CC Workflow Studio
CC Workflow Studio is a visual workflow design environment for Claude Code and other AI coding agents that lets developers build, edit, and run multi-agent orchestration workflows through a drag-and-drop canvas, a CLI, or an MCP server interface. Workflows are stored as portable workflow.json files that can be exported and directly executed in eight different AI agent environments — including Claude Code, GitHub Copilot, Cursor, Gemini CLI, OpenAI Codex, and Antigravity — without rewriting prompts or step sequences for each platform. It is particularly useful for teams who want to standardize complex coding task pipelines and share them across different AI tools.
Prerequisites
- Node.js 18+ and npx available in your terminal
- Claude Code, Cursor, VSCode, or another supported AI coding agent installed
- VSCode if you want to use the visual drag-and-drop editor extension
- An MCP-compatible client to use the MCP server interface
Install the VSCode extension (optional, for visual editing)
Install the CC Workflow Studio extension into VSCode for the graphical drag-and-drop workflow canvas.
code --install-extension breaking-brake.cc-wf-studioUse the CLI to create or manage workflows
The CLI provides a command-line interface to create, list, and run workflows without the VSCode extension.
npx @cc-wf-studio/cli --helpAdd CC Workflow Studio as an MCP server
Add the MCP server to your Claude Code or other MCP client config so AI agents can read and execute workflows directly.
{
"mcpServers": {
"cc-wf-studio": {
"command": "npx",
"args": ["cc-wf-studio"]
}
}
}Design a workflow
Open the workflow canvas in VSCode, drag agent skill nodes onto the canvas, connect them in sequence, and configure each step's prompt and tool assignments. Alternatively, describe what you want to Claude Code via the MCP server and let it generate the workflow.json for you.
Export and run the workflow
Export the finished workflow to the format for your target AI agent (e.g. Claude Code slash commands, Gemini CLI skills, or Cursor rules) and run it directly from within the agent's interface.
npx @cc-wf-studio/cli run workflow.json --target claude-codeCC Workflow Studio Examples
Client configuration
Add CC Workflow Studio as an MCP server in your .mcp.json or Claude Desktop config to allow AI agents to interact with your workflow files.
{
"mcpServers": {
"cc-wf-studio": {
"command": "npx",
"args": ["cc-wf-studio"]
}
}
}Prompts to try
With CC Workflow Studio connected as an MCP server, use these prompts in Claude Code or your preferred agent.
- "Create a workflow that runs unit tests, checks coverage, and opens a PR if all tests pass."
- "List all workflows in the current project and summarize what each one does."
- "Run the 'code-review' workflow on the files changed in the last git commit."
- "Export the current workflow to Gemini CLI format."
- "Update the second step of workflow.json to also run the linter before building."Troubleshooting CC Workflow Studio
npx cc-wf-studio fails with module not found error
The package is published as @cc-wf-studio/cli. Try running npx @cc-wf-studio/cli instead, or install it globally with npm install -g @cc-wf-studio/cli.
Workflow.json exported for one agent does not run correctly in another
Each agent platform has different tool invocation syntax. Use the --target flag on export to produce the correct format (e.g. --target claude-code vs --target cursor). Do not manually edit the exported format.
VSCode extension canvas is blank after installation
Reload the VSCode window (Cmd/Ctrl+Shift+P > 'Developer: Reload Window') after installing the extension. If still blank, check the Output panel for the breaking-brake.cc-wf-studio channel for error messages.
Frequently Asked Questions about CC Workflow Studio
What is CC Workflow Studio?
CC Workflow Studio is a Model Context Protocol (MCP) server that cc workflow studio It connects AI assistants to external tools and data sources through a standardized interface.
How do I install CC Workflow Studio?
Follow the installation instructions on the CC Workflow Studio GitHub repository. Clone the repo, install dependencies, and add the server config to your AI client.
Which AI clients work with CC Workflow Studio?
CC Workflow Studio works with all major MCP-compatible AI clients including Claude Desktop, Claude Code, Cursor, VS Code (GitHub Copilot), Windsurf, and Cline.
Is CC Workflow Studio free to use?
Yes, CC Workflow Studio is open source and available under the NOASSERTION license. You can use it freely in both personal and commercial projects.
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Browse More Business Applications MCP Servers
Explore all business applications servers available in the MCPgee directory. Each server includes setup guides for Claude, Cursor, and VS Code.
Set Up CC Workflow Studio in Your Editor
Choose your AI client for step-by-step setup instructions.
Quick Config Preview
Add this to your claude_desktop_config.json or .cursor/mcp.json
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