About Open Multi Agent Canvas
Open Multi Agent Canvas is an MCP server published by CopilotKit in the Developer Tools category: the open-source multi-agent chat interface that lets you manage multiple agents in one dynamic conversation and add MCP servers for deep research.
The repository has 551 stars and 79 forks, with the last commit 6 days ago. Recent commit activity is the strongest signal that reported issues will get attention.
Install
git clone https://github.com/CopilotKit/open-multi-agent-canvasThis server has no ConduID identity, so agent calls to it are not receipted. Pin the version you install and review the source before granting it credentials.
Ask AI
Ask AI about Open Multi Agent Canvas
Powered by Claude · Grounded in docs
Security checks
Static checks derived from the repository 4 days ago. Heuristics on the source, not an audit.
- ✓README presentThe repository ships documentation.
- !License declaredNo license file. Legally you have no right to use it in a product.
- !Tests presentNo tests found. Behaviour changes may go unnoticed between versions.
- ✓Dependencies pinnedA lockfile pins dependency versions.
- ✓No dynamic code executionSource scan found no eval, dynamic Function, or shell execution.
- !Scoped permissionsDoesn't declare a permission scope. Assume it can do anything its process can.
README
Open 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
The MCP Agent allows you to connect to various MCP-compatible servers:
-
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)
-
Public MCP Servers:
- You can connect to public MCP servers like mcp.composio.dev and mcp.run
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
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.
README fetched from the repository 4 days ago. The original is authoritative.