How do I obtain a Tencent Docs Access Token?

Log in to the [Tencent Docs Open Platform](https://docs.qq.com/open), 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.

Tencent Docs MCP Server for Pydantic AI 10 tools — connect in under 2 minutes

Name: Tencent Docs
Availability: InStock
Author: Vinkius

ai.pydantic.dev/mcp

Built by Vinkius GDPR 10 Tools SDK

Pydantic AI brings type-safe agent development to Python with first-class MCP support. Connect Tencent Docs through Vinkius and every tool is automatically validated against Pydantic schemas. catch errors at build time, not in production.

Get MCP Server for AI Agents

ASK AI ABOUT THIS MCP SERVER

Open in ChatGPT Open in Claude Open in Perplexity

Vinkius supports streamable HTTP and SSE.

python

import asyncio
from pydantic_ai import Agent
from pydantic_ai.mcp import MCPServerHTTP

async def main():
    # Your Vinkius token. get it at cloud.vinkius.com
    server = MCPServerHTTP(url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp")

    agent = Agent(
        model="openai:gpt-4o",
        mcp_servers=[server],
        system_prompt=(
            "You are an assistant with access to Tencent Docs "
            "(10 tools)."
        ),
    )

    result = await agent.run(
        "What tools are available in Tencent Docs?"
    )
    print(result.data)

asyncio.run(main())

Fully ManagedVinkius Servers

60%Token savings

High SecurityEnterprise-grade

IAMAccess control

EU AI ActCompliant

DLPData protection

V8 IsolateSandboxed

Ed25519Audit chain

<40msKill switch

Stream every event to Splunk, Datadog, or your own webhook in real-time

* Every MCP server runs on Vinkius-managed infrastructure inside AWS - a purpose-built runtime with per-request V8 isolates, Ed25519 signed audit chains, and sub-40ms cold starts optimized for native MCP execution. See our infrastructure

About Tencent Docs MCP Server

Empower your AI agent to orchestrate your collaborative production with Tencent Docs, the premier office workspace for real-time collaboration. By connecting Tencent Docs to your agent, you transform complex file operations and spreadsheet management into a natural conversation. Your agent can instantly list your documents, create new files, retrieve spreadsheet data, and even monitor collaborators without you ever needing to navigate the web interface. Whether you are managing team reports or complex financial models, your agent acts as a real-time productivity assistant, keeping your workspace organized and your data accessible.

Pydantic AI validates every Tencent Docs tool response against typed schemas, catching data inconsistencies at build time. Connect 10 tools through Vinkius and switch between OpenAI, Anthropic, or Gemini without changing your integration code. full type safety, structured output guarantees, and dependency injection for testable agents.

What you can do

File Orchestration — List all accessible documents, sheets, and slides across your Tencent Docs account.
Spreadsheet Control — Retrieve and update values in specific ranges within your sheets with ease.
Content Access — Retrieve the full text content of your documents for analysis and summarization.
Collaboration Monitoring — List file collaborators and manage access insights for your team.
Organization Overview — Access member lists to ensure effective coordination within your organization.

The Tencent Docs MCP Server exposes 10 tools through the Vinkius. Connect it to Pydantic AI in under two minutes — no API keys to rotate, no infrastructure to provision, no vendor lock-in. Your configuration, your data, your control.

How to Connect Tencent Docs to Pydantic AI via MCP

Follow these steps to integrate the Tencent Docs MCP Server with Pydantic AI.

Install Pydantic AI

Run pip install pydantic-ai

Replace the token

Replace [YOUR_TOKEN_HERE] with your Vinkius token

Run the agent

Save to agent.py and run: python agent.py

Explore tools

The agent discovers 10 tools from Tencent Docs with type-safe schemas

Why Use Pydantic AI with the Tencent Docs MCP Server

Pydantic AI provides unique advantages when paired with Tencent Docs through the Model Context Protocol.

Full type safety: every MCP tool response is validated against Pydantic models, catching data inconsistencies before they reach your application

Model-agnostic architecture. switch between OpenAI, Anthropic, or Gemini without changing your Tencent Docs integration code

Structured output guarantee: Pydantic AI ensures tool results conform to defined schemas, eliminating runtime type errors

Dependency injection system cleanly separates your Tencent Docs connection logic from agent behavior for testable, maintainable code

Tencent Docs + Pydantic AI Use Cases

Practical scenarios where Pydantic AI combined with the Tencent Docs MCP Server delivers measurable value.

Type-safe data pipelines: query Tencent Docs with guaranteed response schemas, feeding validated data into downstream processing

API orchestration: chain multiple Tencent Docs tool calls with Pydantic validation at each step to ensure data integrity end-to-end

Production monitoring: build validated alert agents that query Tencent Docs and output structured, schema-compliant notifications

Testing and QA: use Pydantic AI's dependency injection to mock Tencent Docs responses and write comprehensive agent tests

Tencent Docs MCP Tools for Pydantic AI (10)

These 10 tools become available when you connect Tencent Docs to Pydantic AI via MCP:

create_file

Create a new document

delete_file

Delete a document

get_doc_content

Get document content

get_file_info

Get file metadata

get_org_members

List organization members

get_sheet_data

Read spreadsheet data

list_collaborators

List file collaborators

list_files

List all Tencent Docs files

list_folders

List all folders

update_sheet_data

Update spreadsheet data

Example Prompts for Tencent Docs in Pydantic AI

Ready-to-use prompts you can give your Pydantic AI agent to start working with Tencent Docs immediately.

"List all my documents on Tencent Docs."

"Read the values from 'Inventory!A1:B10' in spreadsheet 'doc-8821'."

"Create a new document titled 'Project Kickoff Notes'."

Troubleshooting Tencent Docs MCP Server with Pydantic AI

Common issues when connecting Tencent Docs to Pydantic AI through the Vinkius, and how to resolve them.

MCPServerHTTP not found

Update: pip install --upgrade pydantic-ai

Tencent Docs + Pydantic AI FAQ

Common questions about integrating Tencent Docs MCP Server with Pydantic AI.

How does Pydantic AI discover MCP tools?

Create an MCPServerHTTP instance with the server URL. Pydantic AI connects, discovers all tools, and generates typed Python interfaces automatically.

Does Pydantic AI validate MCP tool responses?

Yes. When you define result types as Pydantic models, every tool response is validated against the schema. Invalid data raises a clear error instead of silently corrupting your pipeline.

Can I switch LLM providers without changing MCP code?

Absolutely. Pydantic AI abstracts the model layer. your Tencent Docs MCP integration works identically with OpenAI, Anthropic, Google, or any supported provider.