# Google Chat

> Use this tool when you need to automate workplace communication workflows or extract insights from team discussions through natural language commands. Google Chat integrates with AI assistants to send messages, search conversations, and manage spaces, supporting multiple search modes and featuring OAuth 2.0 authentication. It is ideal for use cases involving message management, space administration, and conversation summarization, allowing for efficient information retrieval and workflow automation.

Canonical page: https://skillsregistry.net/skills/siva010928-multi-chat  
JSON: https://api.skillsregistry.net/v1/skills/siva010928-multi-chat

## Description

A multi-provider MCP server architecture that currently implements Google Chat API integration, enabling AI assistants to send messages, search conversations, manage spaces, and retrieve user information through natural language commands. Built with a modular provider system using FastMCP and featuring OAuth 2.0 authentication with automatic token refresh, the server supports multiple search modes including regex pattern matching, exact substring matching, and semantic similarity search for finding relevant messages across chat spaces. The implementation includes comprehensive tooling for message management (send, reply, update, delete), space administration (member management, participant analysis), file attachments, and conversation summarization, making it valuable for automating workplace communication workflows and extracting insights from team discussions.

## Trust

- **Trust score (0–1):** 0.50
- **Verification tier:** unverified

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** security
- **Updated:** 2026-04-25

## Source

- **Source listing:** [PulseMCP](https://www.pulsemcp.com/servers/siva010928-multi-chat)
- **Repository:** <https://github.com/siva010928/multi-chat-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": "siva010928-multi-chat"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/siva010928-multi-chat` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/siva010928-multi-chat/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