How to Use the Chuanyun MCP in LlamaIndex

Index your Chuanyun data into LlamaIndex for grounded, searchable insights.

See Vinkius in Action

Works with every AI agent you already use

…and any MCP-compatible client

MCP Servers - Free for Subscribers

Connect Chuanyun MCP to LlamaIndex

Create your Vinkius account to connect Chuanyun to LlamaIndex and route execution through our secure gateway. The platform manages server hosting, runtime updates, and security layers. Configuration requires no manual server provisioning.

GDPR Free for Subscribers

Setup Chuanyun with LlamaIndex

Ask AI about this MCP

ChatGPT

Claude

Perplexity

Query Chuanyun objects via LlamaIndex

Convert business object records into searchable knowledge using `list_biz_objects`. Your RAG pipeline indexes these results for deep semantic retrieval. Forget hallucinated answers. Your agent pulls ground-truth data from the server and stores it in your vector database for future reference.

Automate Chuanyun form interactions

Use `list_forms` to identify targets and `get_form_schema` to understand input requirements. LlamaIndex agents use this context to fill out forms accurately. Each tool call provides structured data that becomes part of your index. This keeps your agent informed about the current state of your enterprise application.

Trace Chuanyun workflow history

Retrieve past activity with `get_workflow_history` to ground your agent's decision-making in historical performance. This data is indexed and available for immediate query. You avoid guessing by relying on actual logs fetched directly from the source. It turns your agent into a repository of operational intelligence.

Setup guide

Set up Chuanyun MCP in LlamaIndex

Prerequisites

Python 3.10+ installed
llama-index-tools-mcp package
Active Vinkius subscription with a valid endpoint token

1

Install dependencies
Run pip install llama-index-tools-mcp llama-index-llms-openai. The MCP tools package provides BasicMCPClient and McpToolSpec.
2

Connect with BasicMCPClient
Point BasicMCPClient to your Vinkius endpoint URL. Replace [YOUR_TOKEN_HERE] with your token from cloud.vinkius.com. Supports SSE and Streamable HTTP transports.
3

Convert to LlamaIndex tools
Call mcp_tool_spec.to_tool_list_async() to convert all Chuanyun MCP tools into native FunctionTool objects that any LlamaIndex agent can use.
4

Run with any LLM
Create a FunctionAgent with the tools and your preferred LLM. Swap OpenAI for Anthropic, Gemini, or any LlamaIndex-supported provider.

agent.py

from llama_index.tools.mcp import BasicMCPClient, McpToolSpec
from llama_index.core.agent.workflow import FunctionAgent
from llama_index.llms.openai import OpenAI

# Connect to the MCP
mcp_client = BasicMCPClient(
    "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
)
mcp_tool_spec = McpToolSpec(client=mcp_client)

# Convert MCP tools to LlamaIndex tools
tools = await mcp_tool_spec.to_tool_list_async()

# Create and run the agent
agent = FunctionAgent(
    tools=tools,
    llm=OpenAI(model="gpt-4o"),
    system_prompt="You have access to Chuanyun tools.",
)
response = await agent.run("List recent Chuanyun data")

Get your connection token →

Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by Chuanyun. All third-party trademarks, logos, and brand names are the property of their respective owners. Their use on this website is strictly for informational purposes to identify service compatibility and interoperability.

Why Choose Vinkius

Vinkius connects your tools to AI with real-time monitoring and automatic cost savings — all from one dashboard.

Connect Chuanyun now

Real-time monitoring

Live

visibility into every interaction

Connect your favorite tools to your AI and see exactly what's happening — every request, every response, in real time.

Built-in savings

60%

lower AI costs

Vinkius compresses data between your apps and your AI automatically. Lower bills every month — no configuration required.

Single dashboard

One

place for every integration

Every tool your AI connects to, managed from a single screen. One account, complete control.

Common questions about Chuanyun MCP in LlamaIndex

Fetch the tool list and pass it to your agent, then trigger the retrieval functions. The server outputs structured data that the framework indexes automatically.

Absolutely. Once the tool outputs are indexed, your agent searches through past records to answer questions about your business objects.

The connection is ephemeral and strictly scoped to your session. We ensure that your business object records never leave your local vector store or memory.

You can restrict which tools the agent accesses by using the allowed_tools filter. This keeps your agent focused on the relevant parts of your workflow.

The agent calls the schema tools whenever it needs the latest structure. This ensures your index always reflects the current state of the application.

Use it with your favorite AI tools

Connect this server to Cursor, Claude, VS Code, and more.

OpenAI Agents SDK sdk-python

Google ADK sdk-python

Pydantic AI sdk-python

Vercel AI SDK sdk-typescript