Shimo 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 Shimo 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="Shimo Docs Assistant",
instructions=(
"You help users interact with Shimo Docs. "
"You have access to 10 tools."
),
mcp_servers=[mcp_server],
)
result = await Runner.run(
agent, "List all available tools from Shimo 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 Shimo Docs MCP Server
Empower your AI agent to orchestrate your collaborative workflow with Shimo Docs, the leading professional office suite in China. By connecting Shimo Docs to your agent, you transform complex document management and team collaboration into a natural conversation. Your agent can instantly list your files, create new collaborative documents, import external content, and even export your work into multiple formats without you ever needing to navigate the web interface. Whether you are managing complex project documentation or financial spreadsheets, your agent acts as a real-time collaborative assistant, keeping your files organized and your team aligned.
The OpenAI Agents SDK auto-discovers all 10 tools from Shimo Docs through native MCP integration. Build agents with built-in guardrails, tracing, and handoff patterns. chain multiple agents where one queries Shimo Docs, another analyzes results, and a third generates reports, all orchestrated through Vinkius.
What you can do
- Document Orchestration — List all accessible documents, sheets, and presentations across your workspace.
- File Management — Create, retrieve, and delete files with full support for collaborative metadata.
- Import & Export — Seamlessly import external content and export Shimo documents into standard formats like docx and pdf.
- Folder Organization — Browse folder structures and manage file locations efficiently.
- Administrative Insights — List organization users and monitor audit logs for security and compliance.
The Shimo 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 Shimo Docs to OpenAI Agents SDK via MCP
Follow these steps to integrate the Shimo 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 Shimo Docs
Why Use OpenAI Agents SDK with the Shimo Docs MCP Server
OpenAI Agents SDK provides unique advantages when paired with Shimo 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
Shimo Docs + OpenAI Agents SDK Use Cases
Practical scenarios where OpenAI Agents SDK combined with the Shimo Docs MCP Server delivers measurable value.
Automated workflows: build agents that query Shimo Docs, process the data, and trigger follow-up actions autonomously
Multi-agent orchestration: create specialist agents. one queries Shimo Docs, another analyzes results, a third generates reports
Data enrichment pipelines: stream data through Shimo Docs tools and transform it with OpenAI models in a single async loop
Customer support bots: agents query Shimo Docs to resolve tickets, look up records, and update statuses without human intervention
Shimo Docs MCP Tools for OpenAI Agents SDK (10)
These 10 tools become available when you connect Shimo Docs to OpenAI Agents SDK via MCP:
create_file
Create a new Shimo file
export_file
Export a Shimo file
get_file
Get file details
get_folder_content
Get folder contents
get_org_info
Get organization details
import_file
Import a document into Shimo
list_audit_logs
List audit logs
list_files
List all Shimo files
list_folders
List all Shimo folders
list_users
List organization users
Example Prompts for Shimo Docs in OpenAI Agents SDK
Ready-to-use prompts you can give your OpenAI Agents SDK agent to start working with Shimo Docs immediately.
"List all my collaborative documents on Shimo."
"Create a new spreadsheet titled 'Q2 Expenses' in folder 'Finance'."
"Export the document 'Project Roadmap' to PDF."
Troubleshooting Shimo Docs MCP Server with OpenAI Agents SDK
Common issues when connecting Shimo Docs to OpenAI Agents SDK through the Vinkius, and how to resolve them.
MCPServerStreamableHttp not found
pip install --upgrade openai-agentsAgent not calling tools
Shimo Docs + OpenAI Agents SDK FAQ
Common questions about integrating Shimo 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 Shimo 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 Shimo 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.