# wecom-crm-mcp

> Use this tool when you need to integrate customer relationship management with WeCom's API, enabling large language models (LLMs) to manage customer interactions, tags, and group chats. It solves problems related to automated customer contact and messaging, providing inputs such as customer data and outputs like sent messages and updated contact information. Ideal for use cases requiring seamless communication and customer management within WeCom's ecosystem.

Canonical page: https://skillsregistry.net/skills/andyleimc-source-wecom-crm-mcp  
JSON: https://api.skillsregistry.net/v1/skills/andyleimc-source-wecom-crm-mcp

## Description

MCP server for WeCom customer contact API, enabling LLMs to manage customers, tags, group chats, moments, and mass-send messages.

## Trust

- **Trust score (0–1):** 0.92
- **Verification tier:** verified
- **Last scanned:** 2026-09-19

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** ai-ml
- **Updated:** 2026-09-19

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/t30y7bqucp)
- **Repository:** <https://github.com/andyleimc-source/wecom-crm-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": "andyleimc-source-wecom-crm-mcp"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/andyleimc-source-wecom-crm-mcp` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/andyleimc-source-wecom-crm-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