# Atoms MCP Server

> Use this tool when you need to manage and debug voice AI agents, as it provides a centralized interface to oversee agent performance, debug call issues, and analyze key metrics directly within your Integrated Development Environment (IDE). It solves problems related to agent management, call debugging, and analytics visualization. Ideal for developers working with the Atoms voice AI platform, it accepts agent configurations and call data as inputs and outputs analytics and debugging insights.

Canonical page: https://skillsregistry.net/skills/aryasmol-atoms-mcp-server  
JSON: https://api.skillsregistry.net/v1/skills/aryasmol-atoms-mcp-server

## Description

Manage agents, debug calls, and view analytics for the Atoms voice AI platform directly from your IDE.

## 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:** data-analytics
- **Updated:** 2026-08-30

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/ynklmsm4no)
- **Repository:** <https://github.com/aryasmol/atoms-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": "aryasmol-atoms-mcp-server"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/aryasmol-atoms-mcp-server` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/aryasmol-atoms-mcp-server/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