# Emeritus MCP Server

> Use this tool when you need to integrate AI models with Emeritus services, enabling streamlined user management, tag operations, and order management. It solves problems related to leads import and management by providing a standardized interface for seamless data exchange. Ideal for use cases requiring centralized management of AI-driven services and user data.

Canonical page: https://skillsregistry.net/skills/emeritus-china-emeritus-mcp  
JSON: https://api.skillsregistry.net/v1/skills/emeritus-china-emeritus-mcp

## Description

MCP server for integrating AI models with Emeritus services, enabling user management, tag operations, order management, and leads import via a standardized interface.

## Trust

- **Trust score (0–1):** 0.65
- **Verification tier:** scanned
- **Last scanned:** 2026-08-31

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** other
- **Updated:** 2026-08-31

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/bhtj7v48ch)
- **Repository:** <https://github.com/Emeritus-China/emeritus-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": "emeritus-china-emeritus-mcp"
    }
  }
}
```

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