# eds-mcp-server

> Use this tool when you need to access and manage design system tokens and component contracts efficiently. It enables AI agents to retrieve and utilize tokens through MCP, solving consistency and token usage problems. Ideal for use cases requiring standardized design elements and reduced token redundancy.

Canonical page: https://skillsregistry.net/skills/edwson-eds-mcp  
JSON: https://api.skillsregistry.net/v1/skills/edwson-eds-mcp

## Description

Enables AI agents to access design system tokens and component contracts through MCP, reducing token usage and ensuring consistency.

## Trust

- **Trust score (0–1):** 0.66
- **Verification tier:** scanned
- **Last scanned:** 2026-09-01

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** ai-ml
- **Updated:** 2026-09-01

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/ybuoe8zw8f)
- **Repository:** <https://github.com/Edwson/eds-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": "edwson-eds-mcp"
    }
  }
}
```

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