Quip MCP. Search, read, and edit collaborative docs with AI.
Works with every AI agent you already use
…and any MCP-compatible client
Just plug in your AI agents and start using Vinkius.
Quip connects your AI client directly to Quip, giving it full access to your real-time documents, spreadsheets, and team discussions.
Your agent can search across all threads for specific data points, read document content without leaving your IDE, retrieve attached messages, or programmatically edit sections of any document using HTML payloads.
What your AI agents can do
Edit document
Updates content inside a specific Quip document using an HTML payload you provide.
Get contacts
Lists all people who collaborate with your user account in Quip.
Get current user
Retrieves basic profile information for the user currently logged into Quip.
The agent performs full-text searches across all Quip documents to locate specific information.
Retrieves the complete text and metadata for a single document or thread using its unique ID.
Lists documents that you or your team have viewed or edited recently, helping you resume work quickly.
Fetches all chat messages and comments attached to a specific document thread for feedback review.
Updates the content of an existing Quip document by accepting structured HTML payloads.
Pulls a list of all images and files embedded within a given thread.
Ask AI about this MCP
Supported MCP Clients
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Quip MCP Server: 12 Tools for Collaboration Ops
These tools let your AI client interact with Quip's core functionality—from searching archives to modifying documents and reviewing comments.
019d75fbedit document
Updates content inside a specific Quip document using an HTML payload you provide.
019d75fbget contacts
Lists all people who collaborate with your user account in Quip.
019d75fbget current user
Retrieves basic profile information for the user currently logged into Quip.
019d75fbget folder
Fetches detailed metadata for a single, specified Quip folder.
019d75fbget folders
Retrieves batch details for multiple Quip folders using a comma-separated list of IDs.
019d75fbget messages
Lists all chat messages and comments attached to a specific document thread ID.
019d75fbget recent threads
Retrieves a list of documents that have been recently viewed or edited by the user.
019d75fbget thread
Fetches the full content and metadata for one Quip document/thread ID.
019d75fbget threads
Retrieves batch contents for multiple Quip threads using a comma-separated list of IDs.
019d75fbget user
Retrieves detailed profile information for any specific user by their ID.
019d75fblist blobs
Gets a list of all embedded files and images contained within a document thread.
019d75fbsearch threads
Runs a full-text search across every Quip document you have access to.
Choose How to Get Started
Build a custom MCP for your own tools, or connect a ready-made integration from our catalog.
Build Your Own
Turn any API into an MCP. Import a spec, define Agent Skills, or deploy with MCPFusion.
- Import from OpenAPI, Swagger, or YAML specs
- Create Agent Skills with progressive disclosure
- Deploy to edge with MCPFusion framework
- Built in DLP, auth, and compliance on every call
- Real time usage dashboard and cost metering
- Publish to catalog or keep private
Make Your AI Do More
Start with Quip, then connect any of our 4,700+ other servers whenever your AI needs more. One click, no limits.
- Use this MCP plus 4,700+ others, all in one place
- Add new capabilities to your AI anytime you want
- Every connection is secured and compliant automatically
- Track usage and costs across all your servers
- Works with Claude, ChatGPT, Cursor, and more
- New servers added to the catalog every week
What you can do with this MCP connector
Your AI client connects straight to Quip. It gives your agent deep access to everything—your live documents, spreadsheets, and team chats. You don’t have to leave your IDE; you can pull all this info right where you are working.
Search and Discovery
You need information from a mountain of docs? Your agent runs full-text searches across every Quip document you've got access to using the search_threads tool. You can also quickly check what threads you or your team have looked at lately with get_recent_threads. Need to drill down into one specific conversation? You fetch all the content and metadata for any single thread ID with get_thread.
If you're dealing with multiple conversations, you can batch-fetch them using a comma-separated list of IDs via get_threads.
Document Content Management
When you need to work inside the file itself, your agent handles it. You can retrieve detailed metadata for an entire folder by calling get_folder, or grab batch details for multiple folders at once using a list of IDs in get_folders. For specific people, your client pulls basic profile info for the user currently logged in with get_current_user, and it can also pull detailed profiles for any other user if you provide their ID via get_user.
Reading and Reviewing Data
When you need to see what's inside, your agent has options. You get the full content of a single thread using get_thread. If you want to check out all the comments and messages attached to that document—maybe looking for feedback—you use get_messages to list every chat comment tied to a specific thread ID.
Embedded media, like images or files, don't escape your notice either; you pull a complete list of everything embedded in a given thread using list_blobs. You can also get a simple roster of everyone who collaborates with your account by running get_contacts.
Making Changes and Edits
Sometimes, 'reading' isn't enough. Your agent lets you programmatically update an existing Quip document using the edit_document tool. You just provide structured HTML payloads, and your client writes that content directly into a specific Quip document.
How It Works
You authorize this server with your Quip Personal Access Token. Then, you tell your AI client exactly what job it needs to do—'Find all mentions of Q3 revenue in the marketing docs,' or 'Change the date on slide five.' Your agent then picks the right tool, like search_threads or get_messages, runs it against Quip, and hands you the clean data.
It doesn't just find the info; it formats it for you.
How Quip MCP Works
- 1 First, you must subscribe to the server and authorize it with your Quip Personal Access Token.
- 2 Next, prompt your AI client with a specific request (e.g., 'Find all documents about Q3 marketing').
- 3 The agent executes the necessary tools (like
search_threads), pulls the data, and presents the final answer.
The bottom line is: you talk to your AI client, and it runs Quip's APIs for you. You never leave your IDE.
Who Is Quip MCP For?
This is for the developer or product manager who gets frustrated by context switching. If your day involves jumping between documentation silos—Jira, Google Docs, Quip—and you're tired of manually copying links and summarizing conversations from disparate sources, this server saves hours. It puts all that collaborative data into your AI client.
Uses search_threads to pull technical specs or PRD text directly from Quip before writing a line of code.
Runs queries on get_messages to summarize recent feedback and comment threads attached to product strategy documents.
Drafts client updates and uses edit_document to push the finished HTML text into a shared Quip document for immediate review.
What Changes When You Connect
- Instantly find relevant data. Instead of manually sifting through folders, use
search_threadsto query the entire Quip document library for terms like 'Q3 Roadmap'. - Stop context switching. Use
get_threadandget_foldersto pull specific documents into your IDE context without leaving the window. - Keep feedback centralized. Run
get_messageson a thread ID to pull all attached comments, so you don't miss client feedback buried in chat history. - Update content directly. When you finish drafting an update, use
edit_documentto push the final HTML text straight into the shared Quip document. - See what was last touched.
get_recent_threadsgives you a quick list of documents that need review or follow-up, saving you from manual folder checks.
Real-World Use Cases
Drafting Client Status Reports
An Account Executive needs to update a client document. They use search_threads first to pull the latest meeting notes on the project. Then, they structure those notes and use edit_document to write the final section into the shared Quip report.
Pulling Code Context from Specs
A Developer starts a new feature branch. They realize they need the latest PRD details. They prompt their agent, which runs search_threads for 'Feature X specs,' retrieving the necessary technical requirements into their IDE before writing any code.
Summarizing Product Feedback
A Product Manager needs to know what people think about a new feature. They use get_messages on the feature's main thread ID, getting all attached comments and summarizing them in one go instead of reading dozens of individual messages.
Building an Internal Knowledge Base
A researcher needs to compile a report. They use get_folders to list the relevant department folders, then iterate through those IDs using get_threads to retrieve and consolidate key documents into one place.
The Tradeoffs
Trying to edit text manually
The user tries to tell the agent: 'Change this paragraph in ABC123DEF to say X.' The system fails because it doesn't know how to structure the content.
→
Always use edit_document and provide the payload as a full HTML block. Don't just send raw text; wrap your changes in proper tags like <p>...</p>.
Assuming documents are siloed
The user only looks at the 'Marketing' folder and assumes all project documentation lives there, missing specs stored elsewhere.
→
Start with search_threads. It searches across all accessible Quip content. This is how you guarantee you find everything.
Ignoring collaboration context
The user gets the document content via get_thread but misses the latest feedback from a team member who commented hours later.
→
Always run get_messages immediately after retrieving the thread. This ensures you capture all recent comments and discussion points.
When It Fits, When It Doesn't
Use this Quip server if your primary pain point is accessing, querying, or modifying content within real-time collaborative documents (e.g., specs, roadmaps, client drafts). The key strength here is the ability to treat a document's conversation history (get_messages) and its written content (get_thread) as one unified data source.
Don't use this if your goal is managing structured databases outside of Quip (like customer billing records or inventory counts); for that, look at specialized database connector tools. Also, don't rely on it for high-frequency, real-time event streams; stick to the content retrieval and modification tools like edit_document and search_threads. It excels at knowledge extraction from human collaboration.
Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by Quip. All third-party trademarks, logos, and brand names are the property of their respective owners. Their use on this website is strictly for informational purposes to identify service compatibility and interoperability.
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Works with Claude, ChatGPT, Cursor, and more
The Model Context Protocol standardizes how applications expose capabilities to LLMs. Instead of operating in isolation, your AI gains direct access to external platforms, live data, and real-world actions through secure, standardized connections.
This server provides 12 capabilities that interface natively with Claude, ChatGPT, Cursor, and any MCP client. No middleware. No custom integration required.
Available Capabilities
Finding a single piece of information shouldn't take 20 clicks across four different tabs.
Today, finding the right info means clicking into the main folder, checking the thread list, opening the document, and then scrolling through attachments or comments. You end up copy-pasting three separate pieces of data just to summarize one concept.
With Quip MCP, you ask your agent a question—like 'What did Sarah say about the budget last week?'—and it runs `search_threads` and `get_messages`. It gives you the direct answer without you ever leaving your IDE.
The Quip MCP Server allows you to update content with `edit_document`.
Before this, if you needed to fix a typo or add a section to a shared document, someone had to manually open the file and make the change. You were limited to viewing; making changes was clunky and required multiple steps.
Now, your agent executes `edit_document` using an HTML payload. It's direct. The content gets updated instantly in the source Quip thread. No manual steps are needed—just a prompt.
Common Questions About Quip MCP
How do I securely obtain my Quip Access Token? +
Sign in to your Quip account. Navigate to your API token generator page (usually at platform.quip.com or via Quip's Developer Settings). Generate a Personal Access Token, copy the string, and securely save it in the configuration fields below.
Can I provide a Quip document URL to my AI, or just the ID? +
You can provide the standard URL. The agent is capable of recognizing the URL structure, extracting the alphanumeric thread_id, and performing the operation accurately.
Can it read embedded images or files inside the document? +
The agent detects their existence by reading the raw structure and uses list_blobs to catalog attachments. However, downloading the actual files depends on your client's supported capabilities.
Is the edit operation destructive? +
The edit_document function uses Quip's native append logic to add new HTML blocks at the end of the document, mitigating complete overwrites. Additionally, Quip maintains a full version history allowing rollbacks if necessary.
How does using `get_messages` differ from retrieving the full content of a thread using `get_thread`? +
The get_messages tool retrieves only the comments and feedback attached to a specific document or thread. It does not pull the core, main body text of the Quip document itself. This makes it ideal for summarizing discussion points without needing the entire document context.
What kind of user details can I retrieve using the `get_current_user` tool? +
It retrieves your authenticated profile information within Quip, including basic details like display name and email address. This allows your AI client to understand who is operating the agent without needing separate lookups.
When I use the `edit_document` tool, must the content I pass be in HTML format? +
Yes, you must provide the new content as an HTML payload. The Quip API requires this structured markup to correctly append headings, paragraphs, and other formatting elements back into the document thread.
Can I use `get_folders` for large numbers of IDs, and are there limits? +
While you can pass a comma-separated list of many folder IDs, be mindful of API rate limits. If your request exceeds the maximum batch size, the AI client will handle pagination or require splitting your ID list into smaller chunks.
Use it with your favorite AI tools
Connect this server to Cursor, Claude, VS Code, and more.
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