# gametheory-mcp

> Use this tool when you need to develop strategic decision-making capabilities in AI agents, solving problems such as negotiation, auctions, and mechanism design. It provides equilibrium-aware primitives that enable agents to make informed decisions, taking into account the actions and outcomes of other agents. The tool exposes its functionality over the MCP protocol and can be imported as a Python library, allowing for seamless integration into AI systems.

Canonical page: https://skillsregistry.net/skills/ryuxik-gametheory-mcp  
JSON: https://api.skillsregistry.net/v1/skills/ryuxik-gametheory-mcp

## Description

Equilibrium-aware primitives for AI agents — negotiation, auctions, mechanism design — exposed over MCP and importable as a Python library.

## Trust

- **Trust score (0–1):** 0.70
- **Verification tier:** verified
- **Last scanned:** 2026-09-03

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** ai-ml
- **Updated:** 2026-09-03

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/obtmlqwfl4)
- **Repository:** <https://github.com/ryuxik/gametheory-mcp>

## 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": "ryuxik-gametheory-mcp"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/ryuxik-gametheory-mcp` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/ryuxik-gametheory-mcp/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