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

Built by Vinkius GDPR 10 Tools SDK

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

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 Shimo Docs "
            "(10 tools)."
        ),
    )

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

asyncio.run(main())
Shimo Docs
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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.

Pydantic AI validates every Shimo Docs tool response against typed schemas, catching data inconsistencies at build time. Connect 10 tools through the 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

  • 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 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 Shimo Docs to Pydantic AI via MCP

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

01

Install Pydantic AI

Run pip install pydantic-ai

02

Replace the token

Replace [YOUR_TOKEN_HERE] with your Vinkius token

03

Run the agent

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

04

Explore tools

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

Why Use Pydantic AI with the Shimo Docs MCP Server

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

01

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

02

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

03

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

04

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

Shimo Docs + Pydantic AI Use Cases

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

01

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

02

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

03

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

04

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

Shimo Docs MCP Tools for Pydantic AI (10)

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

01

create_file

Create a new Shimo file

02

export_file

Export a Shimo file

03

get_file

Get file details

04

get_folder_content

Get folder contents

05

get_org_info

Get organization details

06

import_file

Import a document into Shimo

07

list_audit_logs

List audit logs

08

list_files

List all Shimo files

09

list_folders

List all Shimo folders

10

list_users

List organization users

Example Prompts for Shimo Docs in Pydantic AI

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

01

"List all my collaborative documents on Shimo."

02

"Create a new spreadsheet titled 'Q2 Expenses' in folder 'Finance'."

03

"Export the document 'Project Roadmap' to PDF."

Troubleshooting Shimo Docs MCP Server with Pydantic AI

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

01

MCPServerHTTP not found

Update: pip install --upgrade pydantic-ai

Shimo Docs + Pydantic AI FAQ

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

01

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.
02

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.
03

Can I switch LLM providers without changing MCP code?

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

Connect Shimo Docs to Pydantic AI

Get your token, paste the configuration, and start using 10 tools in under 2 minutes. No API key management needed.