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Tencent Docs MCP. Run office file operations via natural language.

Claude Claude
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Works with every AI agent you already use

…and any MCP-compatible client

Tencent Docs MCP on Cursor AI Code Editor MCP Client Tencent Docs MCP on Claude Desktop App MCP Integration Tencent Docs MCP on OpenAI Agents SDK MCP Compatible Tencent Docs MCP on Visual Studio Code MCP Extension Client Tencent Docs MCP on GitHub Copilot AI Agent MCP Integration Tencent Docs MCP on Google Gemini AI MCP Integration Tencent Docs MCP on Lovable AI Development MCP Client Tencent Docs MCP on Mistral AI Agents MCP Compatible Tencent Docs MCP on Amazon AWS Bedrock MCP Support

Just plug in your AI agents and start using Vinkius.

Tencent Docs MCP Server connects your AI agent to Tencent’s office suite. It lets you manage documents, sheets, and slides by talking to it—no web interface needed.

Your agent can list all files (`list_files`), pull data from specific ranges in spreadsheets (`get_sheet_data`), read full document text (`get_doc_content`), and even check who has access or if a folder needs cleaning up.

What your AI agents can do

Create file

Generates a brand new document file within Tencent Docs.

Delete file

Removes an existing document from your account.

Get doc content

Extracts the complete text content from a specified document file.

+ 7 more capabilities included
Manage Document Lifecycle

Create or delete documents using create_file and delete_file.

Read/Write Spreadsheets

Retrieve data ranges with get_sheet_data, and modify values directly using update_sheet_data.

Analyze File Content

Extract the full text content from documents using get_doc_content for analysis or summarization.

Map Workspace Structure

List all files (list_files), folders (list_folders), and check file metadata (get_file_info).

Review Team Access & Data

Identify document collaborators (list_collaborators) or list organization members (get_org_members).

Supported MCP Clients

Claude Claude
ChatGPT ChatGPT
Cursor Cursor
Gemini Gemini
Windsurf Windsurf
VS Code VS Code
JetBrains JetBrains
Vercel Vercel
+ other MCP clients
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AI Agent

Tencent Docs MCP Server: 10 Tools for Office Ops

Use these tools via your AI client to create, delete, retrieve content from, and modify files and spreadsheets in Tencent Docs.

create019d8489

create file

Generates a brand new document file within Tencent Docs.

delete019d8489

delete file

Removes an existing document from your account.

get019d8489

get doc content

Extracts the complete text content from a specified document file.

get019d8489

get file info

Retrieves key metadata about any specific file, like its last modified date or size.

get019d8489

get org members

Returns a list of all active members in the organization associated with the account.

get019d8489

get sheet data

Reads and returns values from a defined range within a spreadsheet.

list019d8489

list collaborators

Lists every user who has access or is collaborating on a specific file.

list019d8489

list files

Returns a list of all accessible files across your entire Tencent Docs account.

list019d8489

list folders

Displays the hierarchical structure and names of folders available to you.

update019d8489

update sheet data

Modifies or writes new values into a specific range within a spreadsheet.

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
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  • Built in DLP, auth, and compliance on every call
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Start building

Make Your AI Do More

Start with Tencent Docs, 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
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  • 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

Tencent Docs MCP Server connects your AI agent straight into Tencent's whole office suite. You don't gotta deal with a web interface; it just lets your agent talk to your documents, sheets, and slides like they're just another system you're chatting with. It handles the heavy lifting so you can focus on what you need done.

When you run an operation, your agent doesn't just read metadata—it acts like a full-blown admin for your workspace. You tell it to find something, and it executes a chain of commands across multiple files without you clicking anything.

Managing the Files:

  • Need to see everything? Your agent runs list_files to pull up every accessible document on your account. If you wanna know where things are stored, list_folders shows you the full folder structure and names available to you.
  • Want details on a specific file? You can check its metadata—like when it was last modified or how big it is—using get_file_info. You'll also control the lifecycle: use create_file to whip up a brand new document, or run delete_file if something needs to go.

Tackling Data and Content:

  • If you need raw text for analysis or summarizing, your agent uses get_doc_content to extract the complete content from any specified document. It pulls out all of it.
  • For spreadsheets, you can read specific sections of data with get_sheet_data, pointing it right to a defined range. You're not just reading, though; if you need to change something, you use update_sheet_data to modify or write new values into that exact spreadsheet range.

Team and Collaboration:

  • Your agent keeps tabs on who's involved. To see every person working with a particular document, it runs list_collaborators. If you need the whole picture of your team, get_org_members returns a list of all active members in the organization.

This setup lets your AI client act like an embedded specialist. You can tell it to 'Check out last month's report and see who else worked on it,' and it'll run list_files, then pull the file info with get_file_info, and finally list all collaborators using list_collaborators—all in sequence, zero clicks needed.

You don't have to jump between tabs for files, sheets, or who has access. It just gets it done.

How Tencent Docs MCP Works

  1. 1 Subscribe to the server and input your Tencent Docs Access Token.
  2. 2 Connect your preferred AI client (Claude, Cursor, etc.) to the MCP endpoint.
  3. 3 Issue a natural language command to your agent; it selects and executes the necessary tool calls.

The bottom line is, you talk to your agent like you're asking an assistant for data, and it handles all the API plumbing behind the scenes.

Who Is Tencent Docs MCP For?

This is for anyone whose job involves juggling multiple files across different formats—the people who spend more time finding information than actually analyzing it. You're the data analyst stuck clicking through 15 tabs, or the project coordinator trying to track down which version of a slide deck everyone signed off on.

Data Analyst

Reads specific ranges in spreadsheets with get_sheet_data and updates metrics across multiple sheets using update_sheet_data.

Project Coordinator

Manages the file structure, listing files (list_files) and checking collaborators (list_collaborators) to ensure everyone has access before a deadline.

Team Lead

Needs to compile status reports. They use the agent to list documents, get content for summaries, and check organization membership (get_org_members).

What Changes When You Connect

  • Stop opening the web interface just to list files. You can use list_files and list_folders through your agent, getting a clean inventory without clicking through folder views.
  • Need to analyze raw data? Instead of downloading a sheet and manually copying cells, tell your agent to run get_sheet_data. It pulls the values directly for you to read or summarize.
  • You don't have to manually check permissions. Use list_collaborators to instantly see who has access to a document before sharing it, saving time on every review cycle.
  • When collaborating on reports, use get_doc_content. This pulls the raw text from a document so your agent can summarize or cross-reference data points across multiple files at once.
  • Updating status metrics used to be tedious copy/pasting. Now, just tell your client to run update_sheet_data and specify the new value and cell range—it handles the write operation.

Real-World Use Cases

01

Quarterly Report Audit

A team lead needs to compile a report of all Q3 materials. They ask their agent to run list_files and filter for 'Q3'. Next, they check the metadata using get_file_info on each file to confirm completion dates. Finally, they use get_doc_content on the top three documents to create a summary brief, all without leaving the chat window.

02

Data Sync and Cleanup

A project coordinator discovers that five different spreadsheets need their 'Budget Approved' status updated. Instead of opening each sheet, they instruct the agent to run get_sheet_data first to confirm the current state, then use update_sheet_data across all five files simultaneously.

03

Access Control Check

Before sending a sensitive proposal, an employee needs to know who can view it. They run list_collaborators on the document ID and then use get_org_members to verify if key stakeholders (like department heads) are included in the list.

04

Archiving Old Projects

A manager needs to clear out old project files. They ask the agent to run list_folders to see the structure, identify folders marked 'Archive,' and then use delete_file or delete_folder on the outdated content.

The Tradeoffs

Manual API calls

Trying to manually write out a sequence of REST endpoints (GET /files, POST /data) into your client prompt. This is complex, error-prone, and requires knowing the exact API schema.

Don't worry about the endpoint structure. Just tell your agent what you need: 'List all Q3 files and read data from sheet X.' The server handles selecting list_files and then get_sheet_data in order.

Treating it like a search engine

Asking the agent, 'Where is my spreadsheet about sales?' This vague query forces the agent to guess which tool to use or return irrelevant results.

Be specific and action-oriented. Say: 'Use list_files to find all spreadsheets containing 'sales' in their name.' The tool requires precise instructions.

Overloading a single function

Asking the agent, 'Give me everything about the project,' which might confuse it into running every possible tool, resulting in too much data and no clear answer.

Break down the request. Ask for specific outputs: First, run list_files to see the scope; second, run get_file_info on the top result; third, read the sheet content using get_sheet_data.

When It Fits, When It Doesn't

Use this if your workflow requires multi-step data manipulation across different document formats. Specifically: If you need to list files AND check collaborator access (combining list_files and list_collaborators), or if you must read structured spreadsheet data (get_sheet_data) and then summarize the text content of a related doc (get_doc_content). This is for complex, cross-functional office tasks.

Don't use this if you just need to view something simple. If all you need is to look at one file or read cached metadata without performing an action, your current UI might be faster. Also, don't rely on it for data that changes frequently; always verify the scope and necessary tokens before running update_sheet_data.

Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by Tencent Docs. 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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How we secure it →

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 10 capabilities that interface natively with Claude, ChatGPT, Cursor, and any MCP client. No middleware. No custom integration required.

Available Capabilities

create_file delete_file get_doc_content get_file_info get_org_members get_sheet_data list_collaborators list_files list_folders update_sheet_data

Juggling documents means constant web switching.

Today, handling a team report is a mess of tabs. You open Tencent Docs to list files; you click into the 'Data' tab to check the spreadsheet range; then you copy content out because the summary doc needs it, and finally, you navigate to the sharing settings page just to see who else has access. It’s constant context switching.

With this MCP server, your agent does all that work in one go. You tell it: 'List Q4 reports, check sheet B for final numbers, and summarize them into a new doc.' Your AI client runs the necessary tools—`list_files`, `get_sheet_data`, and `create_file`—and gives you the finished product.

Tencent Docs MCP Server: File & Document Ops

The manual process of verifying project status means checking multiple sources: using one tool to list the files, another to check who has rights (`list_collaborators`), and a third just to pull the current numbers from the sheet via `get_sheet_data`. It's slow, brittle, and requires deep knowledge of where data lives.

The agent abstracts all that complexity. You ask for 'Project status.' The server executes the necessary tool calls internally—it runs checks on file structure, verifies collaboration rights, pulls live numbers, and gives you a unified answer in your chat window.

Common Questions About Tencent Docs MCP

How do I read data using get_sheet_data with Tencent Docs? +

You prompt the agent to 'Read values from Sheet X, range A1:B20.' The agent automatically runs get_sheet_data and returns the structured array of values for you.

Can I list all my documents using list_files? +

Yes. Running list_files gives you a clean, comprehensive list of every document accessible on your account. It's great for inventory checks or finding old project files.

What does get_doc_content do? +

This tool extracts the full text content from any selected document. This means you can feed the raw text of a PDF or doc into your agent for summarization, no matter how complex the original formatting was.

How do I check who is collaborating on a file using list_collaborators? +

You simply reference the document ID and ask the agent to run list_collaborators. It returns a clean roster of every user with access permissions for that specific file.

Is there a way to create a new file using create_file? +

Yes, you can. Just ask your agent to 'Create a new document titled Project Notes.' The server executes create_file and returns the new file ID for immediate use.

How do I permanently remove a document using the `delete_file` tool? +

You use delete_file to permanently remove documents. When your agent calls this function, it handles the deletion request for a specified file ID and executes the action immediately. Be careful; once deleted through the API, the file is usually irreversible.

How do I map out my document structure using `list_folders`? +

The list_folders tool maps your entire directory hierarchy. Running this command returns a list of all folders and their nested relationships within Tencent Docs. This helps you see the overall organization before targeting specific files.

What is the correct way to bulk edit data using `update_sheet_data`? +

You pass the sheet ID, the target range (e.g., 'C5:D10'), and a list of new values to update_sheet_data. This method writes multiple pieces of information across specified cells in one call, avoiding manual, cell-by-cell updates.

How do I obtain a Tencent Docs Access Token? +

Log in to the Tencent Docs Open Platform, create an application, and generate an access token in the API console.

Can I read data from a specific sheet range? +

Yes. Use the get_sheet_data tool with the file ID and the range (e.g., 'Sheet1!A1:C5'). Your agent will retrieve the values for you.

Does this server support multi-user collaboration? +

Yes, Tencent Docs is built for real-time collaboration. You can list existing collaborators using the list_collaborators tool.

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Claude Claude
ChatGPT ChatGPT
Cursor Cursor
Gemini Gemini
Windsurf Windsurf
VS Code VS Code
JetBrains JetBrains
Vercel Vercel
+ other MCP clients

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