MCPHub LabRegistryopen-multi-agent-canvas
CopilotKit

open multi agent canvas

Built by CopilotKit • 483 stars

What is open multi agent canvas?

A high-performance MCP server implementation for open-multi-agent-canvas that bridges the gap between the Model Context Protocol and external services. It allows Large Language Models to interact with your data and tools with low latency and native support.

How to use open multi agent canvas?

1. Ensure you have an MCP-compatible client (like Claude Desktop) installed. 2. Configure your server with: npx @modelcontextprotocol/open-multi-agent-canvas 3. Restart your client and verify the new tools are available in the system catalog.
🛡️ Scoped (Restricted)
npx @modelcontextprotocol/open-multi-agent-canvas --scope restricted
🔓 Unrestricted Access
npx @modelcontextprotocol/open-multi-agent-canvas

Key Features

Native MCP Protocol Support
High-performance Data Streaming
Type-safe Tool Definitions
Seamless Environment Integration

Optimized Use Cases

Connecting external databases to AI workflows
Automating workflow tasks via natural language
Augmenting developer productivity with specialized tools

open multi agent canvas FAQ

Q

What is an MCP server?

MCP is an open standard that enables developers to build secure, two-way integrations between AI models and local or remote data sources.

Q

Is this server ready for production?

Yes, this server follows standard MCP security patterns and tool-restricted access.

Official Documentation

View on GitHub
<div align="center">

Open Multi-Agent Canvas

CopilotKit-Banner

</div>

multi-agent-canvas

Open Multi-Agent Canvas, created by CopilotKit is an open-source multi-agent chat interface that lets you manage multiple agents in one dynamic conversation. It's built with Next.js, LangGraph, and CopilotKit to help with travel planning, research, and general-purpose tasks through MCP servers.

Existing Agents

Check out these awesome agents (they live in separate repositories). You can run them separately or deploy them on LangSmith:

Additionally, this project now includes a built-in MCP (Multi-Channel Protocol) Agent:

  • MCP Agent: A general-purpose agent capable of handling various tasks through configurable MCP servers.

Copilot Cloud is required to run this project:

Quick Start 🚀

1. Prerequisites

Make sure you have:

2. API Keys

Running the Frontend

Rename the example.env file in the frontend folder to .env:

NEXT_PUBLIC_CPK_PUBLIC_API_KEY=...

Install dependencies:

cd frontend
pnpm i

Need a CopilotKit API key? Get one here.

Then, fire up the Next.js project:

pnpm run build && pnpm run start

MCP Agent Setup

mcp-demo

The MCP Agent allows you to connect to various MCP-compatible servers:

  1. Configuring Custom MCP Servers:

    • Click the "MCP Servers" button in the top right of the interface
    • Add servers via the configuration panel:
      • Standard IO: Run commands locally (e.g., Python scripts)
      • SSE: Connect to external MCP-compatible servers (via Server-Sent Events)
  2. Public MCP Servers:

Running the MCP Agent Backend (Optional)

Rename the example.env file in the agent folder to .env:

OPENAI_API_KEY=...
LANGSMITH_API_KEY=...

If you want to use the included MCP Agent with the built-in math server:

cd agent
poetry install
poetry run langgraph dev --host localhost --port 8123 --no-browser

Running a tunnel

Add another terminal and select Remote Endpoint. Then select Local Development. Once this is done, copy the command into your terminal and change the port to match the LangGraph server 8123 image

Documentation

License

Distributed under the MIT License. See LICENSE for more info.


Note: This project has been consolidated into the CopilotKit monorepo. The latest version lives at examples/showcases/multi-agent-canvas. Please open issues and pull requests in the main CopilotKit repository.

Global Ranking

6.4
Trust ScoreMCPHub Index

Based on codebase health & activity.

Manual Config

{ "mcpServers": { "open-multi-agent-canvas": { "command": "npx", "args": ["open-multi-agent-canvas"] } } }