# Slipknot V4.1 Lite - Lightweight Topological Arbitration MCP Coprocessor

> Use this tool when you need to resolve decision conflicts among multiple agents in a cluster, enabling consensus through Topological Data Analysis. It takes in conflicting decisions as input and outputs a unified consensus decision, facilitating cooperation among agents. Ideal for use in multi-agent systems requiring efficient and reliable conflict resolution.

Canonical page: https://skillsregistry.net/skills/usaos-slipknot-topological-mcp-for-multi-agent-ai-agent  
JSON: https://api.skillsregistry.net/v1/skills/usaos-slipknot-topological-mcp-for-multi-agent-ai-agent

## Description

A lightweight topological arbitration MCP server for multi-agent clusters, using Topological Data Analysis to resolve decision conflicts and enable consensus among agents.

## Trust

- **Trust score (0–1):** 0.70
- **Verification tier:** verified
- **Last scanned:** 2026-08-30

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** other
- **Updated:** 2026-08-30

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/ykf9y6p1cm)
- **Repository:** <https://github.com/usaos/slipknot-Topological-MCP-for-Multi-Agent-AI-Agent>

## 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": "usaos-slipknot-topological-mcp-for-multi-agent-ai-agent"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/usaos-slipknot-topological-mcp-for-multi-agent-ai-agent` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/usaos-slipknot-topological-mcp-for-multi-agent-ai-agent/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