MCP server for the Google Chat API — list and search spaces, read and send messages, work with threads, reactions, attachments and memberships. For Claude, Cursor, Codex and other AI clients.
- ✓Open-source license (MIT)
- ✓Actively maintained (<30d)
- ✓Clear description
- ✓Documented (README)
claude mcp add mcp-google-chat -- npx -y mcp-google-chat{
"mcpServers": {
"mcp-google-chat": {
"command": "npx",
"args": ["-y", "mcp-google-chat"]
}
}
}MCP Servers overview
# <img src="./assets/a1-logo.svg" alt="A1" width="40"> Google Chat MCP
**English** | [Русский](./README.ru.md)
[](https://www.npmjs.com/package/mcp-google-chat)
[](https://glama.ai/mcp/servers/A1-x-Tech/mcp-google-chat)
[](https://github.com/A1-x-Tech/mcp-google-chat/actions/workflows/ci.yml)
[](./LICENSE)
**A1 Google Chat MCP** lets an AI app work in Google Chat in plain language. Find the right space or direct message, catch up on a conversation, reply in a thread, react with an emoji and manage who is in a space.
It uses the Google Chat API with your Google account and acts as the signed-in user: messages send under your name, and only your own messages and reactions can be edited or deleted. It makes the limits of the Chat API explicit instead of implying that every chat task is possible.
- **20 tools.** Connect from the chat, discover spaces and direct messages, read and send messages with thread control, manage emoji reactions, read attachment metadata and manage membership.
- **Connects from the conversation.** Say "connect Google Chat": the server walks you through the OAuth client, catches Google's redirect on `127.0.0.1` with PKCE and keeps the tokens itself — no config files, no restart.
- **You act as yourself.** Sends appear under your name; edits and deletes stop at your own messages and reactions.
- **A send is never replayed.** After an ambiguous failure the server does not retry a write — a replayed send would be a duplicate message in a real room.
- **Minimal Google scopes.** The server sends whatever token you minted; grant scopes per task — read-only ones are enough for browsing spaces and messages.
Start with a read-only question:
> Show today’s messages in the team space and summarize what was decided.
[Connect the server](#quick-start) · [Explore use cases](#what-you-can-ask-it-to-do) · [Open technical documentation](#technical-documentation)
---
## See it work in a minute
> **You:** What was discussed in the release space today?
>
> **Assistant:** Lists today’s messages with senders and threads. Nothing changes.
>
> **You:** Reply in the deploy thread that the rollout is finished.
>
> **Assistant:** Shows the target space, the thread and the drafted text, then asks for confirmation before sending.
>
> **You:** Confirm.
>
> **Assistant:** Sends the reply under your name in that thread. It does not touch any other message.
## Contents
- [Quick start](#quick-start)
- [What you can ask it to do](#what-you-can-ask-it-to-do)
- [How the server acts in Chat](#how-the-server-acts-in-chat)
- [What can change](#what-can-change)
- [Getting access](#getting-access)
- [Configuration](#configuration)
- [Data, limits and background work](#data-limits-and-background-work)
- [Technical documentation](#technical-documentation)
- [Support](#support)
## Quick start
You need Node.js 20+ and a Google account with access to Google Chat. Credentials are not required at install time — the server connects from the conversation.
1. Add the server to your AI app.
2. Say "connect Google Chat": the assistant walks you through [creating the OAuth client and approving access](#getting-access) without editing config files or restarting.
3. Ask the read-only question above.
<details open>
<summary><strong>Codex</strong></summary>
<br>
**In the app:** open **Settings → MCP servers**, select **Add server**, choose **STDIO**, enter the command `npx -y mcp-google-chat@latest`, then select **Save**. No environment variables are needed — connect from the chat afterwards.
**From the command line:**
```bash
codex mcp add google-chat \
-- npx -y mcp-google-chat@latest
```
```bash
codex mcp list
```
[Codex MCP documentation](https://learn.chatgpt.com/docs/extend/mcp?surface=cli)
</details>
<details>
<summary><strong>Claude Code</strong></summary>
<br>
```bash
claude mcp add \
--transport stdio --scope user google-chat \
-- npx -y mcp-google-chat@latest
```
```bash
claude mcp list
```
[Claude Code MCP documentation](https://code.claude.com/docs/en/mcp)
</details>
<details>
<summary><strong>Claude Desktop</strong></summary>
<br>
The current official path is **Settings → Extensions**. For a custom desktop extension, open **Advanced settings → Extension Developer → Install Extension…**, select a `.mcpb` file and follow the prompts.
This repository currently publishes an npm stdio package and does not contain a `.mcpb` bundle. For Claude Desktop builds that still support local configuration, use the following JSON stdio configuration as a fallback:
```json
{
"mcpServers": {
"google-chat": {
"command": "npx",
"args": ["-y", "mcp-google-chat@latest"]
}
}
}
```
In those builds, save it to `~/Library/Application Support/Claude/claude_desktop_config.json` on macOS or `%APPDATA%\Claude\claude_desktop_config.json` on Windows.
[Claude Desktop MCP documentation](https://support.claude.com/en/articles/10949351-getting-started-with-local-mcp-servers-on-claude-desktop)
</details>
<details>
<summary><strong>Cursor</strong></summary>
<br>
Add this to `~/.cursor/mcp.json` on macOS/Linux or `%USERPROFILE%\.cursor\mcp.json` on Windows:
```json
{
"mcpServers": {
"google-chat": {
"type": "stdio",
"command": "npx",
"args": ["-y", "mcp-google-chat@latest"]
}
}
}
```
[Cursor MCP documentation](https://cursor.com/docs/mcp)
</details>
<details>
<summary><strong>VS Code</strong></summary>
<br>
Run **MCP: Open User Configuration** and add:
```json
{
"servers": {
"google-chat": {
"type": "stdio",
"command": "npx",
"args": ["-y", "mcp-google-chat@latest"]
}
}
}
```
Check it with **MCP: List Servers**.
[VS Code MCP documentation](https://code.visualstudio.com/docs/agent-customization/mcp-servers)
</details>
## What you can ask it to do
### Catch up on a conversation
- Show my spaces and find the direct message with alex@example.com.
- What was posted in the release space today? Summarize the decisions.
- Show the whole thread this message belongs to.
### Post and maintain messages
- Send a status update to the team space.
- Reply in the deploy thread that the rollout is finished.
- Fix the typo in my last message, or delete it entirely.
### React and check attachments
- Add a 👍 to the announcement and show who else reacted with what.
- Remove my reaction from that message.
- What files are attached to this message? Show their names and types.
### Manage who is in a space
- Who is in this space, and who are its managers?
- Add alex@example.com to the space and make them a manager.
- Remove a former teammate from the space.
## How the server acts in Chat
1. With the OAuth refresh credentials the server acts **as the signed-in user**: messages send under your name, and edits and deletes reach only your own messages and reactions. Membership changes additionally require you to be a space manager.
2. Spaces accept a bare id, but messages, threads, members, reactions and attachments are addressed by the **full resource names** the API returns — list first, then act on an exact name.
3. A reply targets a thread by its name or by a thread key. By default a send falls back to starting a new thread when the target cannot be threaded; you can ask it to fail instead.
4. Acting as a **Chat app** — cards, app direct messages, the dedicated attachment endpoint, forced deletes — is a separate Google Cloud configuration; the only bridge here is a service-account access token supplied as `GOOGLE_CHAT_ACCESS_TOKEN`.
The Chat API cannot search message text — the only message filters are creation time and thread. `find_direct_message` finds an existing DM but never creates one, and file bytes are not downloaded or uploaded through this server. Space creation and the other uncovered API methods go through `raw_request`.
## What can change
| Operation | What happens | Confirmation boundary |
|---|---|---|
| Read spaces, messages, members, reactions and attachment metadata | Reads conversations and metadata | No change |
| Send a message | Posts in a real space under your name | Changes a conversation |
| Update a message | Replaces the text of your own message | Changes a conversation |
| Add or remove a reaction | Changes your own reaction on a message | Changes a conversation |
| Delete a message | Permanently removes a message | Destructive |
| Manage membership | Adds, re-roles or removes a space member | Potentially destructive |
| Raw API request | Can call API methods without a dedicated tool | Potentially destructive |
The AI client controls confirmation prompts. The server marks reads, writes and destructive tools so the client can distinguish catching up from posting.
## Getting access
Google Chat requires OAuth 2.0; an API key is not enough. There are two ways in, and the first one needs no configuration files.
### Connect from the chat (recommended)
Say "connect Google Chat" and the assistant runs the flow with you:
1. `setup_instructions` prints the checklist: create or select a Google Cloud project, enable the **Google Chat API**, configure the consent screen and create a **Desktop app** OAuth client.
2. Download that client's JSON ("Download JSON") and give the assistant its **path** — `set_client` stores it owner-only. The secret never goes through the conversation.
3. `start_login` returns a Google consent link. Open it **on this machine** and approve; the code comes back to a one-shot listener on `127.0.0.1` (PKCE), never through the chat.
4. `finish_login` exchanges the code, saves the tokens to `~/.config/mcp-google-chat/credentials.json` (mode 0600) and verifies them with a real Chat API call — so a Chat API that is still switWhat people ask about mcp-google-chat
What is A1-x-Tech/mcp-google-chat?
+
A1-x-Tech/mcp-google-chat is mcp servers for the Claude AI ecosystem. MCP server for the Google Chat API — list and search spaces, read and send messages, work with threads, reactions, attachments and memberships. For Claude, Cursor, Codex and other AI clients. It has 0 GitHub stars and its last recorded update is dated 2026-09-20.
How do I install mcp-google-chat?
+
You can install mcp-google-chat by cloning the repository (https://github.com/A1-x-Tech/mcp-google-chat) or following the README instructions on GitHub. ClaudeWave also provides quick install blocks on this page.
Is A1-x-Tech/mcp-google-chat safe to use?
+
Our security agent has analyzed A1-x-Tech/mcp-google-chat and assigned a Trust Score of 87/100 (tier: Trusted). See the full breakdown of passed checks and flags on this page.
Who maintains A1-x-Tech/mcp-google-chat?
+
A1-x-Tech/mcp-google-chat is maintained by A1-x-Tech. The last recorded GitHub activity is dated 2026-09-20, with 0 open issues.
Are there alternatives to mcp-google-chat?
+
Yes. On ClaudeWave you can browse similar mcp servers at /categories/mcp, sorted by popularity or recent activity.
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