Google Docs MCP Server

Created By
Meerkats-Aia year ago
google-docs-mcp-server
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, allowing AI assistants to create, read, update, and manage Google Docs.

How to use Google Docs MCP Server?

To use the server, clone the repository, install the dependencies, set up authentication credentials, and run the server. You can interact with the server using various tools provided for document management.

Key features of Google Docs MCP Server?

  • Create, retrieve, update, and delete Google Docs.
  • 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.

Use cases of Google Docs MCP Server?

  1. Automating document creation and management for AI applications.
  2. Integrating Google Docs functionalities into custom applications.
  3. Facilitating collaborative document editing through AI assistants.

FAQ from Google Docs MCP Server?

  • What are the prerequisites for using the server?

You need Node.js 18 or higher and a Google Cloud project with the Google Docs API enabled.

  • Can I run the server using Docker?

Yes! The server supports Docker for easy deployment.

  • How do I authenticate with the Google Docs API?

You can use service account credentials, API keys, or OAuth2 for authentication.

Project Info
Created At
a year ago
Updated At
a year ago
Author Name
Meerkats-Ai
Star
0
Language
JavaScript
License
MIT license

Recommend Servers

View All
//beforeyouship — LLM Cost Modeling From Your Editor
@Indiegoing

Query realistic LLM cost models without leaving your editor. beforeyouship models the **true monthly cost** of an LLM app architecture — retries, prompt caching, batch discounts, infra overhead, and 3×/10× growth — across GPT-5.x, Claude, Gemini, DeepSeek, and more. Not a token calculator: a planning tool for the design phase, before you commit to a stack. **No API key needed to try it** — demo mode covers the six free-tier models. A Pro key from [beforeyouship.dev](https://beforeyouship.dev) unlocks the full 18-model catalog. ## What you can ask - "How much will a RAG chatbot cost at 10,000 requests/day?" - "Compare Claude Haiku vs Gemini Flash pricing for my workload" - "What's the cheapest model for a multi-step agent at scale?" - "Show me current per-token prices for Anthropic models" ## Tools ### `estimate_cost` Full cost model for an architecture at a given usage level. Returns Naive / Realistic / Worst Case monthly cost per model, 3×/10× growth scenarios, and an opinionated recommendation with reasoning. ### `get_model_prices` Current per-1M-token pricing — input, output, cached input, batch — with context windows and staleness metadata. ### `list_archetypes` Seven preset architecture patterns (simple chatbot, chatbot with history, RAG pipeline, multi-model router, coding assistant, document processor, multi-step agent) used as starting points for estimates. ## Setup **Claude Code:** ​```bash claude mcp add --transport http beforeyouship https://beforeyouship.dev/api/mcp ​``` **Cursor / other clients** — add a remote server: ​```json { "mcpServers": { "beforeyouship": { "type": "streamable-http", "url": "https://beforeyouship.dev/api/mcp" } } } ​``` Add an `Authorization: Bearer bys_...` header with a Pro key for the full catalog. ## Try it > Estimate the monthly cost of a RAG pipeline at 10,000 requests/day

13 hours ago