# Eunomia

> Use this tool when you need to integrate AI models with MCP-compatible applications, enabling seamless communication between models and clients. Eunomia provides a Python-based implementation of the Model Context Protocol, streamlining the integration process for various use cases like natural language processing, data analysis, or task automation. It accepts model inputs and outputs through a simplified interface, making it ideal for developers seeking to quickly set up an MCP server for AI-powered applications.

Canonical page: https://skillsregistry.net/skills/whataboutyou-ai-eunomia  
JSON: https://api.skillsregistry.net/v1/skills/whataboutyou-ai-eunomia

## Description

This Eunomia MCP server, developed by the WhataboutYou AI team, provides a Python-based implementation of the Model Context Protocol. Built using Pydantic and leveraging the MCP package, it offers a streamlined approach to integrating AI models with MCP-compatible applications. The implementation focuses on simplicity and ease of use, with a clear project structure and dependency management through pyproject.toml. It's particularly useful for developers looking to quickly set up an MCP server for AI-powered applications, enabling seamless communication between models and clients across various use cases such as natural language processing, data analysis, or task automation.

## Trust

- **Trust score (0–1):** 0.65
- **Verification tier:** scanned
- **Last scanned:** 2026-09-02

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** productivity
- **Updated:** 2026-09-02

## Source

- **Source listing:** [PulseMCP](https://www.pulsemcp.com/servers/whataboutyou-ai-eunomia)
- **Repository:** <https://github.com/whataboutyou-ai/eunomia-mcp-server>

## 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": "whataboutyou-ai-eunomia"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/whataboutyou-ai-eunomia` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/whataboutyou-ai-eunomia/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