# @indica-facil/mcp-chatwoot

> @indica-facil/mcp-chatwoot — nicolasdasilvaesilva-mcp-chatwoot. Use this tool when you need to manage and automate customer support workflows, or integrate Chatwoot's API into AI-powered chatbots and assistants. It solves problems related to customer conversation management, team collaboration, and help center customization, providing 129 tools for various management tasks. With inputs such as API requests and outputs like managed conversations and customized reports, it's ideal for use cases involving automated support and AI-driven customer service.

Canonical page: https://skillsregistry.net/skills/nicolasdasilvaesilva-mcp-chatwoot  
JSON: https://api.skillsregistry.net/v1/skills/nicolasdasilvaesilva-mcp-chatwoot

## Description

Exposes the full Chatwoot API as 129 tools for AI assistants, enabling account, contact, conversation, message, inbox, team, report, help center, automation, and custom attribute management, plus exclusive Kanban and scheduled message features.

## Trust

- **Trust score (0–1):** 0.69
- **Verification tier:** scanned
- **Last scanned:** 2026-09-03

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** api-integration
- **Updated:** 2026-09-03

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/acbxbswphy)
- **Repository:** <https://github.com/nicolasdasilvaesilva/mcp-chatwoot>

## 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": "nicolasdasilvaesilva-mcp-chatwoot"
    }
  }
}
```

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