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Google Docs Mcp Server
What is Google Docs Mcp Server
Google Docs MCP Server is a powerful Model Context Protocol (MCP) server implementation designed for seamless integration with the Google Docs API. It allows AI assistants to create, read, update, and manage Google Docs efficiently.
Use cases
Use cases include automating document generation for reports, managing collaborative documents in teams, integrating document management into applications, and creating AI-driven content assistants.
How to use
To use the Google Docs MCP Server, clone the repository from GitHub, install the necessary dependencies using npm, and set up your Google Cloud credentials in a .env file. After that, you can interact with the server to manage Google Docs.
Key features
Key features include creating new Google Docs, retrieving document content and metadata, updating existing documents, listing accessible documents, deleting documents, exporting documents to various formats (PDF, plain text), sharing documents, searching for documents, and verifying connection and credentials.
Where to use
Google Docs MCP Server can be used in various fields such as education, content creation, project management, and any application requiring document automation and management.
Clients Supporting MCP
The following are the main client software that supports the Model Context Protocol. Click the link to visit the official website for more information.
Overview
What is Google Docs Mcp Server
Google Docs MCP Server is a powerful Model Context Protocol (MCP) server implementation designed for seamless integration with the Google Docs API. It allows AI assistants to create, read, update, and manage Google Docs efficiently.
Use cases
Use cases include automating document generation for reports, managing collaborative documents in teams, integrating document management into applications, and creating AI-driven content assistants.
How to use
To use the Google Docs MCP Server, clone the repository from GitHub, install the necessary dependencies using npm, and set up your Google Cloud credentials in a .env file. After that, you can interact with the server to manage Google Docs.
Key features
Key features include creating new Google Docs, retrieving document content and metadata, updating existing documents, listing accessible documents, deleting documents, exporting documents to various formats (PDF, plain text), sharing documents, searching for documents, and verifying connection and credentials.
Where to use
Google Docs MCP Server can be used in various fields such as education, content creation, project management, and any application requiring document automation and management.
Clients Supporting MCP
The following are the main client software that supports the Model Context Protocol. Click the link to visit the official website for more information.
Content
Google Docs MCP Server
A powerful Model Context Protocol (MCP) server implementation for seamless Google Docs API integration, enabling AI assistants to create, read, update, and manage Google Docs.
Features
- Create new Google Docs with custom titles and content
- Retrieve document content and metadata
- Update existing documents with new content
- List all accessible documents
- Delete documents
- Export documents to different formats (PDF, plain text, etc.)
- Share documents with specific users
- Search for documents by title or content
- Verify connection and credentials
Prerequisites
- Node.js 18 or higher
- A Google Cloud project with the Google Docs API enabled
- Authentication credentials (API key, service account, or OAuth2)
Installation
-
Clone this repository:
git clone https://github.com/lkm1developer/google-docs-mcp-server.git cd google-docs-mcp-server -
Install dependencies:
npm install -
Create a
.envfile with your Google Cloud credentials:# Required GOOGLE_CLOUD_PROJECT_ID=your-project-id # Choose one authentication method: # Option 1A: Service Account with file path (recommended for production) GOOGLE_APPLICATION_CREDENTIALS=path/to/your-service-account-key.json # Option 1B: Service Account with JSON content directly # Useful for environments where you can't create files GOOGLE_APPLICATION_CREDENTIALS_JSON={"type":"service_account","project_id":"...","private_key":"...","client_email":"..."} # Option 2: API Key (simpler for development) GOOGLE_API_KEY=your-api-key # Option 3: OAuth2 (required for user-specific operations) client_id=your-oauth-client-id client_secret=your-oauth-client-secret refresh_token=your-oauth-refresh-token
Authentication Setup
Service Account Authentication
- Go to the Google Cloud Console
- Create a new project or select an existing one
- Enable the Google Docs API and Google Drive API
- Go to “IAM & Admin” > “Service Accounts”
- Create a new service account
- Grant it the necessary roles (e.g., “Docs API User”, “Drive API User”)
- Create and download a JSON key for the service account
- Set the path to this JSON file in your
.envfile
OAuth2 Authentication
For operations that require user consent (like creating/editing documents):
- Go to the Google Cloud Console
- Create a new project or select an existing one
- Enable the Google Docs API and Google Drive API
- Go to “APIs & Services” > “Credentials”
- Create OAuth client ID credentials (Web application type)
- Add authorized redirect URIs (e.g., http://localhost:3000/oauth2callback)
- Note your Client ID and Client Secret
- Use the following script to get a refresh token:
// get-refresh-token.js
const { google } = require('googleapis');
const http = require('http');
const url = require('url');
const open = require('open');
const destroyer = require('server-destroy');
async function getRefreshToken() {
const oauth2Client = new google.auth.OAuth2(
'YOUR_CLIENT_ID',
'YOUR_CLIENT_SECRET',
'http://localhost:3000/oauth2callback'
);
const scopes = [
'https://www.googleapis.com/auth/documents',
'https://www.googleapis.com/auth/drive'
];
const authorizeUrl = oauth2Client.generateAuthUrl({
access_type: 'offline',
scope: scopes,
prompt: 'consent'
});
console.log('Opening browser for authorization...');
open(authorizeUrl);
return new Promise((resolve, reject) => {
const server = http.createServer(async (req, res) => {
try {
const queryParams = url.parse(req.url, true).query;
if (queryParams.code) {
res.end('Authentication successful! You can close this window.');
server.destroy();
const { tokens } = await oauth2Client.getToken(queryParams.code);
console.log('\nRefresh Token:', tokens.refresh_token);
console.log('\nAdd this refresh token to your .env file as refresh_token');
resolve(tokens.refresh_token);
}
} catch (e) {
reject(e);
}
}).listen(3000);
destroyer(server);
});
}
getRefreshToken().catch(console.error);
Run this script with:
npm install googleapis open server-destroy node get-refresh-token.js
Building and Running
-
Build the project:
npm run build -
Test your connection:
npx tsx src/test-connection.ts -
Run the server:
npm startOr with specific credentials:
npm start -- --GOOGLE_APPLICATION_CREDENTIALS=/path/to/service-account.json --GOOGLE_CLOUD_PROJECT_ID=your-project-id # Or with JSON content directly: npm start -- --GOOGLE_APPLICATION_CREDENTIALS_JSON='{"type":"service_account","project_id":"..."}' --GOOGLE_CLOUD_PROJECT_ID=your-project-id -
Run the SSE server with authentication:
npx mcp-proxy-auth node dist/index.js
Implementing Authentication in SSE Server
The SSE server uses the mcp-proxy-auth package for authentication. To implement authentication:
-
Install the package:
npm install mcp-proxy-auth -
Set the
AUTH_SERVER_URLenvironment variable to point to your API key verification endpoint:export AUTH_SERVER_URL=https://your-auth-server.com/verify -
Run the SSE server with authentication:
npx mcp-proxy-auth node dist/index.js -
The SSE URL will be available at:
localhost:8080/sse?apiKey=apikeyReplace
apikeywith your actual API key for authentication.
The mcp-proxy-auth package acts as a proxy that:
- Intercepts requests to your SSE server
- Verifies API keys against your authentication server
- Only allows authenticated requests to reach your SSE endpoint
Docker Support
You can also run the server using Docker:
-
Build the Docker image:
docker build -t google-docs-mcp-server . -
Run the container:
docker run -p 8080:8080 \ -e GOOGLE_CLOUD_PROJECT_ID=your-project-id \ -e GOOGLE_APPLICATION_CREDENTIALS_JSON='{"type":"service_account","project_id":"..."}' \ -e client_id=your-client-id \ -e client_secret=your-client-secret \ -e refresh_token=your-refresh-token \ -e AUTH_SERVER_URL=https://your-auth-server.com/verify \ google-docs-mcp-server
MCP Integration
To use this server with Claude or other MCP-compatible assistants, add it to your MCP settings:
{
"mcpServers": {
"google-docs": {
"command": "node",
"args": [
"/path/to/google-docs-mcp-server/dist/index.js"
],
"env": {
"GOOGLE_CLOUD_PROJECT_ID": "your-project-id",
"GOOGLE_APPLICATION_CREDENTIALS": "/path/to/your-service-account-key.json",
"GOOGLE_APPLICATION_CREDENTIALS_JSON": "{\"type\":\"service_account\",\"project_id\":\"...\"}",
"GOOGLE_API_KEY": "your-api-key",
"client_id": "your-oauth-client-id",
"client_secret": "your-oauth-client-secret",
"refresh_token": "your-oauth-refresh-token"
},
"disabled": false,
"autoApprove": []
}
}
}
Available Tools
| Tool Name | Description | Required Parameters |
|---|---|---|
google_docs_create |
Create a new Google Doc | title, content (optional) |
google_docs_get |
Get a Google Doc by ID | documentId |
google_docs_update |
Update a Google Doc with new content | documentId, content, replaceAll (optional) |
google_docs_list |
List Google Docs accessible to the authenticated user | pageSize (optional), pageToken (optional) |
google_docs_delete |
Delete a Google Doc | documentId |
google_docs_export |
Export a Google Doc to different formats | documentId, mimeType (optional) |
google_docs_share |
Share a Google Doc with specific users | documentId, emailAddress, role (optional) |
google_docs_search |
Search for Google Docs by title or content | query, pageSize (optional), pageToken (optional) |
google_docs_verify_connection |
Verify connection with Google Docs API | None |
Example Usage
Here are some examples of how to use the tools:
Create a new document
{
"name": "google_docs_create",
"arguments": {
"title": "My New Document",
"content": "This is the content of my new document."
}
}
Get a document
{
"name": "google_docs_get",
"arguments": {
"documentId": "1Ax7vsdg3_YhKjkl2P0TZ5XYZ123456"
}
}
Update a document
{
"name": "google_docs_update",
"arguments": {
"documentId": "1Ax7vsdg3_YhKjkl2P0TZ5XYZ123456",
"content": "This is the new content.",
"replaceAll": true
}
}
Search for documents
{
"name": "google_docs_search",
"arguments": {
"query": "meeting notes",
"pageSize": 5
}
}
License
MIT
Dev Tools Supporting MCP
The following are the main code editors that support the Model Context Protocol. Click the link to visit the official website for more information.










