Securely interact with every Word document in your Microsoft 365 OneDrive without ever leaving Gumloop, then pass that data to downstream AI nodes for instant analysis or reporting.
What is Word MCP?
When you create a Word MCP node, Gumloop generates a custom node that understands Microsoft 365 Word. You can then interact with your documents using plain-English prompts instead of complex APIs.What Can It Do for You?
- Instantly list and search Word documents across your OneDrive
- Read document contents and feed the text into downstream AI nodes for analysis
- Append new content or create brand-new documents on the fly
- Generate download links or delete outdated files as part of an automated workflow
Available Tools
| Tool | What It Does | Example Use |
|---|---|---|
| List Documents | Retrieve Word documents from your OneDrive (optionally filter by folder) | “List Word documents in the ‘Proposals’ folder and return name, id, lastModifiedDate” |
| Create Document | Make a new Word document in a specified OneDrive folder | ”Create a new document called ‘Project Charter Q2’ in the ‘Projects’ folder with the text ‘Executive Summary: [content]’, return id and webUrl” |
| Read Document | Pull the full text from a Word document | ”Read document named ‘Annual Report 2024.docx’ and return text” |
| Write Document | Append text to an existing Word document | ”Add the paragraph ‘Next Steps: Schedule follow-up meeting with stakeholders’ to document ‘Meeting Notes - March.docx’ and return newWordCount” |
| Search Documents | Find Word documents that contain a keyword or phrase | ”Search for documents containing ‘budget forecast’ and return name, id, matchSnippet” |
| Download Document | Generate a direct download URL for a Word document | ”Get a download URL for document ‘Contract_Final_Version.docx’ and return downloadUrl” |
| Delete Document | Remove a Word document from OneDrive | ”Delete document named ‘Old_Draft_January.docx’ and confirm status” |
How to Use
1
Create Your Word MCP Node
Go to your node library, search for Microsoft Word, and click “Create a node with AI”
2
Add Your Prompt
Drag the Word MCP node to your canvas and describe the single action you want it to perform.
3
Test Your Node
Run the node to verify the output. Adjust the prompt if needed for clearer or additional fields.
4
Save and Reuse
Once your Word MCP node works the way you like, save it to your library for use in any workflow.
Example Prompts
Here are some prompts that work well with Word MCP: Document discovery:Start with a simple, focused prompt. After you have reliable results, chain multiple Word MCP nodes together or connect them to Ask AI or Google Sheets Writer for deeper automation.
Troubleshooting
If your Word MCP node is not giving the results you expect, try the strategies below.Keep Prompts Simple and Specific
- Good: “List Word documents in folder Reports and return name and id”
- Bad: “List all my Word files in Reports, read each one, summarize the text, then email the summaries”
While the bad example might eventually work, it is more efficient to break it into separate nodes. Word MCP works best with focused, single-action prompts.
Match What Word Can Do
- Good: “Search Word documents for ‘merger agreement’ and return name and id”
- Bad: “Search Word documents for ‘merger agreement’ and automatically email the results”
Word MCP focuses on Microsoft 365 documents. For social posting, combine it with Slack Message Sender or Gmail Sender in your workflow.
Break Complex Tasks Into Steps
Instead of trying to do everything in one prompt (which might cause timeouts or unexpected errors):1
Step 1: List Documents
List Word documents in folder Client Contracts and return id and name
2
Step 2: Read Document
Read document id
id and return text3
Step 3: Summarize using the `Ask AI` node
Summarize the following text:
text and return summary4
Step 4: Create Document
Create a document called Contract Summaries with the compiled summaries and return id and webUrl
5
Step 5: Send Email using the `Gmail Sender` node
Email the webUrl to legal@company.com
In your workflow, connect these nodes sequentially. The ids output from Step 1 feed into Step 2, the summaries from Step 3 feed into Step 4, and the document link from Step 4 goes into Step 5.
Focus on Data Retrieval
Word MCP excels at getting or updating document data. For analysis or creative writing, connect it to other nodes. Example:- Good prompt: “Read document id 4312 and return text”
- Bad prompt: “Read document id 4312, summarize it, translate the summary to Spanish, and create a Canva design”
Use Word MCP for document operations. Hand the text to Ask AI for summarization or translation, and to Call API for third-party design tools.
Troubleshooting Node Creation
Empty Outputs
Empty Outputs
In the node creation window, click “Request changes” and ask the AI to add debug logs and verify the API response.
Incorrect Results
Incorrect Results
In the node creation window, click “Request changes” and describe what you expected versus what you received.
Errors
Errors
First click “Fix with Gummie”. If multiple attempts fail, simplify your prompt or contact support.
Iterate with Request Changes
Iterate with Request Changes
MCP node creation often requires a few tweaks. Use “Request changes” (in the node creation window) to refine filters, output fields, or pagination.
Need More Help?
- Watch What are MCP Nodes video tutorial
- Check out MCP Best Practices in Gumloop University
- Join the Gumloop Community for support
- View the Word MCP setup guide for Claude and Cursor
- Contact support at support@gumloop.com