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One MCP connection. Full document context. No more copy-pasting — just ask.
Stop opening dozens of documents to find what you need. Ask your AI agent to search, summarize, extract, and compare content across your entire Google Docs library — shared drives included.
Your AI agent reads harmonized data across 500+ platforms. "Cost" in Google Ads and "spend" in Meta Ads resolve to the same field automatically.
Turn raw inputs into polished documents. Your AI agent can draft new Google Docs, update existing content, insert structured data, and maintain document templates — without copy-pasting between tools.
250+ governance rules enforce naming conventions, budget limits, and KPI thresholds. SOC 2 Type II certified.
Set AI-powered watches on key documents. Get alerts when important docs are modified, track version changes to critical specifications, and receive summaries of what changed — without checking Google Drive manually.
Automated weekly reports, anomaly flagging, and budget alerts — all from a single conversation. No more morning check-ins across 5 dashboards.
Turn raw inputs into polished documents. Your AI agent can draft new Google Docs, update existing content, insert structured data, and maintain document templates — without copy-pasting between tools.
Every phase runs through the same MCP connection. One protocol, all platforms, full governance. No switching between tools.
Large organizations accumulate thousands of Google Docs across shared drives and personal folders. Finding the right version of a document — especially for cross-functional projects — involves opening Drive, searching, filtering by date, and opening multiple candidates to find the one you need.
Ask your AI agent to find and surface the right document based on content, not just filename. Describe what you're looking for and get a direct answer from the matching document — without ever opening Drive.
Every meeting produces notes that need to be processed into tasks, follow-ups, and decision logs. Most teams copy from their notes doc into Asana or Notion manually — a fragmented, error-prone process that delays follow-through.
Ask your AI agent to read the meeting notes doc and extract structured action items with owners and due dates. Then write them directly to your project management tool in the same prompt.
Research tasks — competitive analysis, policy review, historical audit — require opening and reading many documents sequentially, taking notes, and synthesizing findings. A single research task that spans 10 documents can take half a day.
Describe your research question and let the AI agent read across all relevant documents simultaneously. It synthesizes findings, resolves contradictions, and returns a structured answer — in minutes.
Same MCP connection, different workflows for every team member. Agency CEOs get portfolio health. Media Strategists get campaign QA. Analysts get cross-platform reports. Account Managers get auto-generated QBR decks. Creative Directors get performance-based briefs.
Each role asks in natural language. The MCP server handles the complexity — rate limits, auth, schema normalization, governance — behind the scenes.
Google Docs MCP is a Model Context Protocol server that connects your Google Docs library to AI agents like Claude, ChatGPT, and Gemini. It lets you search, read, summarize, create, and update Google Docs using natural language — without opening a browser.
Document content, headings, tables, inline data, comments, suggestions, version history, file metadata (owner, last modified, sharing settings), and folder structure across My Drive and Shared Drives you have access to.
Both. Read operations cover searching, summarizing, and extracting content. Write operations include creating new documents, appending or inserting content, updating existing text, and adding comments. Permission scope is controlled by your Google OAuth token.
Yes. The MCP server queries across all drives you have access to, including Shared Drives. You can search by content, folder, owner, or modification date — across your entire document library in one prompt.
Yes. Improvado uses OAuth 2.0 for Google authentication and stores tokens in an encrypted vault certified to SOC 2 Type II. The AI model never sees raw credentials. You can revoke access at any time through your Google account settings.
Under 2 minutes. Add the MCP server URL, authorize via Google OAuth, and start querying. No API keys to manage — the OAuth flow handles everything. Existing Improvado users with Google connected can start immediately.
Connect your data to an AI agent in under 60 seconds. The closed loop starts with one conversation.
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