Where do I find my UPYUN Operator details?

Log into your UPYUN console, click on 'Cloud Storage' -> 'Your Service/Bucket' -> 'Configuration' -> 'Operators'. From there you can copy the operator name and the generated password.

Does the AI see my files if I connect this?

The AI uses this MCP to only perform the standard API queries you allow it. Use an Operator with specific folder limits if you wish to restrict directory access.

UPYUN Developer Platform MCP Server for Pydantic AI 5 tools — connect in under 2 minutes

Name: UPYUN Developer Platform
Availability: InStock
Author: Vinkius

ai.pydantic.dev/mcp

Built by Vinkius GDPR 5 Tools SDK

Pydantic AI brings type-safe agent development to Python with first-class MCP support. Connect UPYUN Developer Platform 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 UPYUN Developer Platform "
            "(5 tools)."
        ),
    )

    result = await agent.run(
        "What tools are available in UPYUN Developer Platform?"
    )
    print(result.data)

asyncio.run(main())

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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 UPYUN Developer Platform MCP Server

Integrate your AI with UPYUN (又拍云), one of the most prominent Cloud and CDN providers in the world. This MCP gives your agent direct file management access to your cloud buckets.

Pydantic AI validates every UPYUN Developer Platform tool response against typed schemas, catching data inconsistencies at build time. Connect 5 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

Cloud Storage Management — Automatically create, view, list, and delete files inside your UPYUN buckets without downloading their manual command line clients
CDN Artifact Uploads — Enable the LLM to directly write code logic or textual artifacts and deploy them live to your CDN domains instantly
Capacity Auditing — Fetch storage usage to monitor consumption on your buckets dynamically

The UPYUN Developer Platform MCP Server exposes 5 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 UPYUN Developer Platform to Pydantic AI via MCP

Follow these steps to integrate the UPYUN Developer Platform 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 5 tools from UPYUN Developer Platform with type-safe schemas

Why Use Pydantic AI with the UPYUN Developer Platform MCP Server

Pydantic AI provides unique advantages when paired with UPYUN Developer Platform 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 UPYUN Developer Platform integration code

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

Dependency injection system cleanly separates your UPYUN Developer Platform connection logic from agent behavior for testable, maintainable code

UPYUN Developer Platform + Pydantic AI Use Cases

Practical scenarios where Pydantic AI combined with the UPYUN Developer Platform MCP Server delivers measurable value.

Type-safe data pipelines: query UPYUN Developer Platform with guaranteed response schemas, feeding validated data into downstream processing

API orchestration: chain multiple UPYUN Developer Platform tool calls with Pydantic validation at each step to ensure data integrity end-to-end

Production monitoring: build validated alert agents that query UPYUN Developer Platform and output structured, schema-compliant notifications

Testing and QA: use Pydantic AI's dependency injection to mock UPYUN Developer Platform responses and write comprehensive agent tests

UPYUN Developer Platform MCP Tools for Pydantic AI (5)

These 5 tools become available when you connect UPYUN Developer Platform to Pydantic AI via MCP:

create_text_file

Create and upload a text file directly to UPYUN

delete_file

Delete a file from UPYUN

get_file_info

Get metadata about an UPYUN file

get_service_usage

Get UPYUN bucket service usage

list_directory

g., "/" or "/images/") to list its contents. List files and folders in an UPYUN directory

Example Prompts for UPYUN Developer Platform in Pydantic AI

Ready-to-use prompts you can give your Pydantic AI agent to start working with UPYUN Developer Platform immediately.

"List all files present in the root `/` directory of my Upyun bucket."

"Create a new text file at `/hello.txt` with the content 'Hello from MCP'."

Troubleshooting UPYUN Developer Platform MCP Server with Pydantic AI

Common issues when connecting UPYUN Developer Platform to Pydantic AI through the Vinkius, and how to resolve them.

MCPServerHTTP not found

Update: pip install --upgrade pydantic-ai

UPYUN Developer Platform + Pydantic AI FAQ

Common questions about integrating UPYUN Developer Platform 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 UPYUN Developer Platform MCP integration works identically with OpenAI, Anthropic, Google, or any supported provider.