UPYUN Developer Platform MCP Server for LlamaIndex 5 tools — connect in under 2 minutes
LlamaIndex specializes in data-aware AI agents that connect LLMs to structured and unstructured sources. Add UPYUN Developer Platform as an MCP tool provider through Vinkius and your agents can query, analyze, and act on live data alongside your existing indexes.
ASK AI ABOUT THIS MCP SERVER
Vinkius supports streamable HTTP and SSE.
import asyncio
from llama_index.tools.mcp import BasicMCPClient, McpToolSpec
from llama_index.core.agent.workflow import FunctionAgent
from llama_index.llms.openai import OpenAI
async def main():
# Your Vinkius token. get it at cloud.vinkius.com
mcp_client = BasicMCPClient("https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp")
mcp_tool_spec = McpToolSpec(client=mcp_client)
tools = await mcp_tool_spec.to_tool_list_async()
agent = FunctionAgent(
tools=tools,
llm=OpenAI(model="gpt-4o"),
system_prompt=(
"You are an assistant with access to UPYUN Developer Platform. "
"You have 5 tools available."
),
)
response = await agent.run(
"What tools are available in UPYUN Developer Platform?"
)
print(response)
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 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.
LlamaIndex agents combine UPYUN Developer Platform tool responses with indexed documents for comprehensive, grounded answers. Connect 5 tools through Vinkius and query live data alongside vector stores and SQL databases in a single turn. ideal for hybrid search, data enrichment, and analytical workflows.
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 LlamaIndex 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 LlamaIndex via MCP
Follow these steps to integrate the UPYUN Developer Platform MCP Server with LlamaIndex.
Install dependencies
Run pip install llama-index-tools-mcp llama-index-llms-openai
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
Why Use LlamaIndex with the UPYUN Developer Platform MCP Server
LlamaIndex provides unique advantages when paired with UPYUN Developer Platform through the Model Context Protocol.
Data-first architecture: LlamaIndex agents combine UPYUN Developer Platform tool responses with indexed documents for comprehensive, grounded answers
Query pipeline framework lets you chain UPYUN Developer Platform tool calls with transformations, filters, and re-rankers in a typed pipeline
Multi-source reasoning: agents can query UPYUN Developer Platform, a vector store, and a SQL database in a single turn and synthesize results
Observability integrations show exactly what UPYUN Developer Platform tools were called, what data was returned, and how it influenced the final answer
UPYUN Developer Platform + LlamaIndex Use Cases
Practical scenarios where LlamaIndex combined with the UPYUN Developer Platform MCP Server delivers measurable value.
Hybrid search: combine UPYUN Developer Platform real-time data with embedded document indexes for answers that are both current and comprehensive
Data enrichment: query UPYUN Developer Platform to augment indexed data with live information before generating user-facing responses
Knowledge base agents: build agents that maintain and update knowledge bases by periodically querying UPYUN Developer Platform for fresh data
Analytical workflows: chain UPYUN Developer Platform queries with LlamaIndex's data connectors to build multi-source analytical reports
UPYUN Developer Platform MCP Tools for LlamaIndex (5)
These 5 tools become available when you connect UPYUN Developer Platform to LlamaIndex 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 LlamaIndex
Ready-to-use prompts you can give your LlamaIndex 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 LlamaIndex
Common issues when connecting UPYUN Developer Platform to LlamaIndex through the Vinkius, and how to resolve them.
BasicMCPClient not found
pip install llama-index-tools-mcpUPYUN Developer Platform + LlamaIndex FAQ
Common questions about integrating UPYUN Developer Platform MCP Server with LlamaIndex.
How does LlamaIndex connect to MCP servers?
Can I combine MCP tools with vector stores?
Does LlamaIndex support async MCP calls?
Connect UPYUN Developer Platform 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 UPYUN Developer Platform to LlamaIndex
Get your token, paste the configuration, and start using 5 tools in under 2 minutes. No API key management needed.