# Agents Council

> Use this tool when you need to facilitate collaborative problem-solving among multiple AI agents on complex tasks. It solves challenges of multi-agent coordination, knowledge sharing, and decision-making by enabling structured discussions and feedback exchange. The Agents Council accepts questions and feedback as inputs and produces Markdown or JSON outputs, making it ideal for use cases requiring collective intelligence and coordinated action.

Canonical page: https://skillsregistry.net/skills/mrlesk-agents-council  
JSON: https://api.skillsregistry.net/v1/skills/mrlesk-agents-council

## Description

Enables multiple AI agents to collaborate on complex tasks through structured council sessions. Agents can pose questions, receive feedback from other participating agents, and work together toward solutions. Features atomic state management, agent name resolution, and configurable response formats (Markdown or JSON) for structured multi-agent discussions and decision-making.

## Trust

- **Trust score (0–1):** 0.98
- **Verification tier:** verified
- **Last scanned:** 2026-09-19

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** ai-ml
- **Updated:** 2026-09-19

## Source

- **Source listing:** [PulseMCP](https://www.pulsemcp.com/servers/mrlesk-agents-council)
- **Repository:** <https://github.com/mrlesk/agents-council>

## Use it

Resolve this record through the SkillsRegistry MCP server (no auth, read-only):

```
claude mcp add --transport http --scope user skillsregistry https://api.skillsregistry.net/mcp
```

```json
{
  "jsonrpc": "2.0",
  "id": 1,
  "method": "tools/call",
  "params": {
    "name": "get_skill",
    "arguments": {
      "slug": "mrlesk-agents-council"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/mrlesk-agents-council` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/mrlesk-agents-council/pull`

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SkillsRegistry indexes agent skills from public registries and GitHub. Skills we have analysed are scanned with Circle-IR and scored on six dimensions; each listing states its scan coverage. More: https://skillsregistry.net/llms.txt