Work with your Microsoft 365 Word documents right inside Gumloop. Quickly list, search, read, edit, or download any .docx file stored in your OneDrive - all through clear natural-language prompts.
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  • Generate download links or delete outdated files as part of an automated workflow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

ToolWhat It DoesExample Use
List DocumentsRetrieve Word documents from your OneDrive (optionally filter by folder)“List Word documents in the ‘Proposals’ folder and return name, id, lastModifiedDate”
Create DocumentMake 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 DocumentPull the full text from a Word document”Read document named ‘Annual Report 2024.docx’ and return text”
Write DocumentAppend 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 DocumentsFind Word documents that contain a keyword or phrase”Search for documents containing ‘budget forecast’ and return name, id, matchSnippet”
Download DocumentGenerate a direct download URL for a Word document”Get a download URL for document ‘Contract_Final_Version.docx’ and return downloadUrl”
Delete DocumentRemove 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:
List Word documents in the Marketing folder and return name, id, and lastModifiedDate
Content retrieval:
Read the document given the document URL and return text
Content update:
Append 'Updated budget section added on 3/10/25' to the provided 'Document URL' and return newWordCount
Targeted search:
Search Word documents containing the title "ISO certification" and return name, id, and matchSnippet
File download:
Generate a download URL for document id 8877aa and return downloadUrl
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):
List all client contracts, read each one, summarize key dates, create a new summary document, then email it to the legal team
Break this into smaller, focused nodes that each handle one task:
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 text
3

Step 3: Summarize using the `Ask AI` node

Summarize the following text: text and return summary
4

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

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