Tencent Docs MCP Server for OpenAI Agents SDK 10 tools — connect in under 2 minutes
The OpenAI Agents SDK enables production-grade agent workflows in Python. Connect Tencent Docs through Vinkius and your agents gain typed, auto-discovered tools with built-in guardrails. no manual schema definitions required.
ASK AI ABOUT THIS MCP SERVER
Vinkius supports streamable HTTP and SSE.
import asyncio
from agents import Agent, Runner
from agents.mcp import MCPServerStreamableHttp
async def main():
# Your Vinkius token. get it at cloud.vinkius.com
async with MCPServerStreamableHttp(
url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
) as mcp_server:
agent = Agent(
name="Tencent Docs Assistant",
instructions=(
"You help users interact with Tencent Docs. "
"You have access to 10 tools."
),
mcp_servers=[mcp_server],
)
result = await Runner.run(
agent, "List all available tools from Tencent Docs"
)
print(result.final_output)
asyncio.run(main())
* 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.
The OpenAI Agents SDK auto-discovers all 10 tools from Tencent Docs through native MCP integration. Build agents with built-in guardrails, tracing, and handoff patterns. chain multiple agents where one queries Tencent Docs, another analyzes results, and a third generates reports, all orchestrated through Vinkius.
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 OpenAI Agents SDK 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 OpenAI Agents SDK via MCP
Follow these steps to integrate the Tencent Docs MCP Server with OpenAI Agents SDK.
Install the SDK
Run pip install openai-agents in your Python environment
Replace the token
Replace [YOUR_TOKEN_HERE] with your Vinkius token from cloud.vinkius.com
Run the script
Save the code above and run it: python agent.py
Explore tools
The agent will automatically discover 10 tools from Tencent Docs
Why Use OpenAI Agents SDK with the Tencent Docs MCP Server
OpenAI Agents SDK provides unique advantages when paired with Tencent Docs through the Model Context Protocol.
Native MCP integration via `MCPServerSse`, pass the URL and the SDK auto-discovers all tools with full type safety
Built-in guardrails, tracing, and handoff patterns let you build production-grade agents without reinventing safety infrastructure
Lightweight and composable: chain multiple agents and MCP servers in a single pipeline with minimal boilerplate
First-party OpenAI support ensures optimal compatibility with GPT models for tool calling and structured output
Tencent Docs + OpenAI Agents SDK Use Cases
Practical scenarios where OpenAI Agents SDK combined with the Tencent Docs MCP Server delivers measurable value.
Automated workflows: build agents that query Tencent Docs, process the data, and trigger follow-up actions autonomously
Multi-agent orchestration: create specialist agents. one queries Tencent Docs, another analyzes results, a third generates reports
Data enrichment pipelines: stream data through Tencent Docs tools and transform it with OpenAI models in a single async loop
Customer support bots: agents query Tencent Docs to resolve tickets, look up records, and update statuses without human intervention
Tencent Docs MCP Tools for OpenAI Agents SDK (10)
These 10 tools become available when you connect Tencent Docs to OpenAI Agents SDK 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 OpenAI Agents SDK
Ready-to-use prompts you can give your OpenAI Agents SDK 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 OpenAI Agents SDK
Common issues when connecting Tencent Docs to OpenAI Agents SDK through the Vinkius, and how to resolve them.
MCPServerStreamableHttp not found
pip install --upgrade openai-agentsAgent not calling tools
Tencent Docs + OpenAI Agents SDK FAQ
Common questions about integrating Tencent Docs MCP Server with OpenAI Agents SDK.
How does the OpenAI Agents SDK connect to MCP?
MCPServerSse(url=...) to create a server connection. The SDK auto-discovers all tools and makes them available to your agent with full type information.Can I use multiple MCP servers in one agent?
MCPServerSse instances to the agent constructor. The agent can use tools from all connected servers within a single run.Does the SDK support streaming responses?
Connect Tencent Docs with your favorite client
Step-by-step setup guides for every MCP-compatible client and framework:
Anthropic's native desktop app for Claude with built-in MCP support.
AI-first code editor with integrated LLM-powered coding assistance.
GitHub Copilot in VS Code with Agent mode and MCP support.
Purpose-built IDE for agentic AI coding workflows.
Autonomous AI coding agent that runs inside VS Code.
Anthropic's agentic CLI for terminal-first development.
Python SDK for building production-grade OpenAI agent workflows.
Google's framework for building production AI agents.
Type-safe agent development for Python with first-class MCP support.
TypeScript toolkit for building AI-powered web applications.
TypeScript-native agent framework for modern web stacks.
Python framework for orchestrating collaborative AI agent crews.
Leading Python framework for composable LLM applications.
Data-aware AI agent framework for structured and unstructured sources.
Microsoft's framework for multi-agent collaborative conversations.
Connect Tencent Docs to OpenAI Agents SDK
Get your token, paste the configuration, and start using 10 tools in under 2 minutes. No API key management needed.