Agents Council
A

Agents Council

Agents Council is an AI agent collaboration tool based on the MCP protocol, which allows different AI agent sessions (such as Claude Code, Codex, Gemini, etc.) to communicate and collaborate across sessions without additional infrastructure. It realizes communication between agents through a central MCP server, supports session retention, human - participation monitoring, summoning of Claude agents, etc., to help developers solve complex tasks.
2.5 points
4.4K

What is Agents Council?

Agents Council is a tool based on the Model Context Protocol (MCP), specifically designed to connect and coordinate the collaboration among different AI agents. It allows your existing AI sessions (such as Claude Code, Codex, Gemini, Cursor, etc.) to communicate with each other, share insights, and jointly solve complex problems. Imagine that you can let Claude be responsible for code review, Gemini provide creative suggestions, and Codex assist in debugging. They communicate in real - time through the Agents Council platform, ultimately providing you with a more comprehensive and high - quality solution.

How to use Agents Council?

Using Agents Council is very simple: 1. Start a council session in one of your AI tools (such as Claude Code) and describe the problem you need to solve. 2. Join this council from another AI tool (such as Codex or Gemini). 3. Let different AI agents discuss and collaborate. 4. After the council provides enough insights, you can take over the session and continue working. The entire process does not require you to leave your current working environment, and all states are saved locally.

Applicable scenarios

Agents Council is particularly suitable for the following scenarios: - When complex problems require multi - angle analysis. - When code review requires the opinions of multiple experts. - When creative projects need suggestions from different styles of AI. - When technical decisions need to weigh different options. - When learning new concepts requires explanations from different perspectives.

Main features

Cross - platform AI collaboration
Connect multiple AI agents such as Claude, Codex, Gemini, Cursor, etc., and let them collaborate on the same topic.
Summon Claude function
Summon a new Claude instance to participate in the discussion at any time in the council, and automatically reuse the authentication information of the local Claude Code.
Session retention
Set specific context when starting an AI agent. After they collaborate, you can seamlessly take over the session and continue working.
Local chat interface
Provide a local web interface that allows you to monitor the council discussion in real - time and participate as a human if necessary.
Fully localized
All state data is stored on the local disk (~/.agents - council/state.json) to ensure privacy and security.
Flexible output format
Support Markdown or JSON format output, which is suitable for both human reading and automated processing.
Advantages
No complex infrastructure required: Directly connect existing AI sessions without setting up a server or network configuration.
Maintain workflow: No need to leave the current working environment and can continue working immediately after collaboration.
Privacy protection: All data is stored locally and does not rely on cloud services.
Flexible integration: Support multiple popular AI development tools.
Easy to use: Can be enabled through simple MCP configuration.
Limitations
Experimental stage: Currently in the experimental state, and the functions may change.
Dependent on local installation: Requires a Node.js or Bun environment.
Some functions are limited: Currently mainly supports the summoning function of Claude, and the summoning functions of other AIs are under development.
Requires manual configuration: Each AI tool needs to be configured with an MCP server separately.

How to use

Environment preparation
Ensure that your system has installed the Node.js (≥18.0.0) or Bun runtime environment.
Install Agents Council
If you need to use the web interface or global commands, you can install it globally. If you only need the MCP function, you can skip this step.
Configure the MCP server
Select the corresponding configuration command according to the AI tool you use. The following is an example of configuring Claude Code.
Start a council session
In your AI tool, use the start_council tool to start a new council discussion.
Join the council
In other AI tools, use the join_council tool to join an existing council.
Participate in the discussion
Use the send_response tool to submit feedback, or use get_current_session_data to get the latest discussion content.

Usage examples

Code review collaboration
When you need to review complex code from multiple perspectives, you can let different AI agents participate together. Claude can check the code quality, Codex can evaluate the performance, and Gemini can provide best - practice suggestions.
Architectural design decision
When designing a system architecture, different options need to be weighed. Through council discussion, a more comprehensive perspective can be obtained, avoiding the bias or limitations of a single AI.
Learning complex concepts
When learning new technologies or complex concepts, different AIs can explain them in different ways to help you understand from multiple perspectives.

Frequently Asked Questions

Is Agents Council free?
Do I need to pay separately for each AI tool?
How to ensure my data privacy?
Which AI tools are supported?
What conditions are required for the summoning Claude function?
Can multiple councils run simultaneously?
How to get help when encountering problems?

Related resources

GitHub repository
Source code, issue tracking, and contribution guidelines
MCP protocol documentation
Official specification of the Model Context Protocol
Claude Code documentation
MCP configuration guide for Claude Code
LLM Council project
The project that inspired Agents Council

Installation

Copy the following command to your Client for configuration
{
  "mcpServers": {
    "council": {
      "command": "npx",
      "args": [
        "agents-council@latest",
        "mcp"
      ]
    }
  }
}
Note: Your key is sensitive information, do not share it with anyone.

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