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CopilotKit

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The Frontend Stack for Agents & Generative UI
GitHub source repository ↗
★ 37.1k Stars Category · Dev Tools Very popular Source revision 68fbe97d8742
63FMRS · C
Reliability
8/20
Security and permissions
12/20
Maintenance
18/20
Documentation
15/20
Setup experience
10/20

CopilotKit is a powerful multi-platform agentic framework with rich features, but it is important to clarify that it is an SDK, not an MCP server.

Read the FMRS scoring method →

CopilotKit is an SDK for building full-stack agentic applications, Generative UI, and chat applications. It supports React, Angular, Vue, React Native, and more, allowing the same agent to power web, mobile, and Slack. CopilotKit is the creator of the AG-UI Protocol, adopted by Google, LangChain, AWS, Microsoft, and others.

Tools

The tool list has not been reviewed yet.

Setup

To get started, run npx copilotkit@latest create to create a new project, or npx copilotkit@latest skills install to install agent skills.

Fit and risk

Best for

  • Full-stack developers building generative UI quickly
  • Teams wanting to deploy the same agent across web, mobile, and Slack
  • Projects using React, Angular, Vue, or React Native

Not for

  • Scenarios requiring persistent agent state (needs extra setup)
  • Projects needing only simple chatbots without generative UI
  • Projects not using a frontend framework

Required permissions

  • Requires an LLM API key (e.g., OpenAI, Anthropic, Gemini)
  • May need network access to connect to agent services

Risks and side effects

  • As an MCP server, there may be a mismatch since CopilotKit is an SDK, not a native MCP server; tools may not be directly exposed.
  • Dependency on external LLM services may incur costs.
  • Generative UI may introduce security risks; user input must be handled carefully.

Troubleshooting

  1. Ensure LLM API keys are correctly configured.
  2. Check network connectivity to external services.
  3. Refer to the documentation for common issues and solutions.

Use cases

Build chat interfaces in React or Next.js apps
Implement backend tool rendering for agents to return UI components
Build generative UI that dynamically renders components
Create shared state for real-time sync between agents and UI
Integrate human-in-the-loop workflows for approvals and input

Supported clients

Supported clients have not been confirmed yet.