Agent Studio Starter
Stop building AI agents from scratch. Bootstrap starter Agent app with LangGraph, CopilotKit, and beautiful Generative UIs.
What is Agent Studio Starter?
Agent Studio Starter is a Model Context Protocol (MCP) server that allows AI assistants like Claude, Cursor, and VS Code to stop building ai agents from scratch. bootstrap starter agent app with langgraph, copilotkit, and beautiful generative uis.
Stop building AI agents from scratch. Bootstrap starter Agent app with LangGraph, CopilotKit, and beautiful Generative UIs.
This server falls under the Coding Agents category on MCPgee, the world's largest MCP server directory with 33,000+ servers.
Features
- Stop building AI agents from scratch. Bootstrap starter Agen
Use Cases
Maintainer
Works with
Installation
Manual Installation
npx agent-studio-starterConfiguration
Configuration Details
claude_desktop_config.json
Performance
Response Metrics
Resource Usage
How to Set Up and Use Agent Studio Starter
Agent Studio Starter is a bootstrap template for building production-ready AI agent applications with LangGraph, CopilotKit, and generative UI components. It provides a pre-wired backend (Python/LangGraph) and frontend (Next.js/CopilotKit) so developers can skip agent scaffolding and focus on adding tools and UI. The template includes Kubernetes manifests and Skaffold configuration for local cluster development, making it suitable for teams building complex, multi-step AI agents that need custom generative interfaces.
Prerequisites
- Python 3.10 or later with uv package manager installed
- Node.js 18 or later for the Next.js frontend
- An LLM provider API key (Anthropic, OpenAI, Azure OpenAI, or GitHub Copilot)
- Docker and kubectl installed if using the Kubernetes development path
- An MCP-compatible client or LangGraph deployment for the agent backend
Clone the Agent Studio Starter repository
Download the bootstrap template to your local machine.
git clone https://github.com/nsphung/agent-studio-starter.git
cd agent-studio-starterInstall and start the Python backend
Use uv to install backend dependencies and launch the LangGraph agent server.
cd backend
uv sync
uv run python src/agent/main.pySet environment variables for LLM access
Configure your LLM provider credentials so the LangGraph agent can call the model. The LANGGRAPH_DEPLOYMENT_URL defaults to localhost:8123.
# For Anthropic:
export ANTHROPIC_API_KEY=your_anthropic_api_key_here
# Or for OpenAI:
export OPENAI_API_KEY=your_openai_api_key_here
# Frontend connection (defaults to http://localhost:8123):
export LANGGRAPH_DEPLOYMENT_URL=http://localhost:8123Install and start the Next.js frontend
Install frontend dependencies and launch the CopilotKit UI in development mode.
cd frontend
npm install
npm run devAdd custom tools to the agent
Extend the starter by defining new tool functions in the backend utils module and registering them in the create_deep_agent() call.
# In backend/src/agent/utils.py, define new tools:
def my_custom_tool(param: str) -> str:
"""Tool description here."""
return f"Result for {param}"
# Then register in create_deep_agent() in main.pyDeploy to Kubernetes with Skaffold (optional)
For local cluster development, use Skaffold to build and deploy both services with live reload.
skaffold devAgent Studio Starter Examples
Client configuration
Environment configuration for the Agent Studio Starter frontend to connect to the backend LangGraph service.
{
"mcpServers": {
"agent-studio": {
"command": "uv",
"args": ["run", "python", "src/agent/main.py"],
"env": {
"ANTHROPIC_API_KEY": "your_anthropic_api_key_here",
"LANGGRAPH_DEPLOYMENT_URL": "http://localhost:8123"
}
}
}
}Prompts to try
Example chat prompts for the default get_weather tool and guidance for extending the agent.
- "What's the weather in San Francisco?"
- "Tell me the weather in Tokyo and London"
- "How's the weather in Berlin right now?"
- "Add a new tool that searches for news articles about a given topic"
- "Show me a generative UI card with the weather for New York"Troubleshooting Agent Studio Starter
Frontend cannot connect to the backend with 'ECONNREFUSED' error
Ensure the Python backend is running on port 8123 before starting the frontend. Check that LANGGRAPH_DEPLOYMENT_URL matches the actual backend address, especially in Docker or Kubernetes environments where the hostname differs.
uv sync fails with dependency resolution errors
Make sure you are using Python 3.10 or later. Run 'python --version' and 'uv --version' to confirm both are installed. If uv is missing, install it with 'curl -LsSf https://astral.sh/uv/install.sh | sh'.
Skaffold dev fails with 'no kubernetes cluster' error
Skaffold requires a running local Kubernetes cluster such as Docker Desktop's built-in Kubernetes or minikube. Run 'kubectl cluster-info' to confirm a cluster is available before running 'skaffold dev'.
Frequently Asked Questions about Agent Studio Starter
What is Agent Studio Starter?
Agent Studio Starter is a Model Context Protocol (MCP) server that stop building ai agents from scratch. bootstrap starter agent app with langgraph, copilotkit, and beautiful generative uis. It connects AI assistants to external tools and data sources through a standardized interface.
How do I install Agent Studio Starter?
Follow the installation instructions on the Agent Studio Starter GitHub repository. Clone the repo, install dependencies, and add the server config to your AI client.
Which AI clients work with Agent Studio Starter?
Agent Studio Starter works with all major MCP-compatible AI clients including Claude Desktop, Claude Code, Cursor, VS Code (GitHub Copilot), Windsurf, and Cline.
Is Agent Studio Starter free to use?
Yes, Agent Studio Starter is open source and available under the Apache-2.0 license. You can use it freely in both personal and commercial projects.
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Set Up Agent Studio Starter in Your Editor
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Quick Config Preview
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