How to Use the Zhumu / 瞩目 MCP in LlamaIndex

Q: How do I search Zhumu / 瞩目 past activity with LlamaIndex?

You index tool results like listrecordings output. Then, you can ask complex questions—'What recordings were made last month?'—and get answers directly grounded in the API data.

Q: Can I check all scheduled Zhumu / 瞩目 webinars with LlamaIndex?

You use listwebinars to get the data, and LlamaIndex turns that list into a queryable knowledge chunk. You can then ask follow-up questions about those specific webinars.

Build knowledge-augmented applications for LlamaIndex using Zhumu / 瞩目.

See Vinkius in Action

Works with every AI agent you already use

…and any MCP-compatible client

MCP Servers - Free for Subscribers

Connect Zhumu / 瞩目 MCP to LlamaIndex

Create your Vinkius account to connect Zhumu / 瞩目 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 Zhumu / 瞩目 with LlamaIndex

Ask AI about this MCP

ChatGPT

Claude

Perplexity

Querying historical account records

The `get_account_report` tool provides detailed usage data that you can index into your vector store. Instead of just seeing a report, you build a knowledge base where the facts—like 'user X exceeded limit Y on date Z'—are searchable and grounded.

Finding specific user details

When you query `list_users` or run `get_user`, LlamaIndex indexes those records. This means if you ask, 'Who was the lead presenter in Q3?', it can search past user data and point you to the relevant individual.

Retrieving meeting context

You use `list_meetings` or `get_meeting` outputs to create searchable documents. This allows an agent to answer questions like, 'What was the purpose of the session scheduled for next Tuesday?' using actual API data.

Setup guide

Set up Zhumu / 瞩目 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 Zhumu / 瞩目 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 Zhumu / 瞩目 tools.",
)
response = await agent.run("List recent Zhumu / 瞩目 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 Zhumu / 瞩目. 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 Zhumu / 瞩目 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 Zhumu / 瞩目 MCP in LlamaIndex

You index tool results like `list_recordings` output. Then, you can ask complex questions—'What recordings were made last month?'—and get answers directly grounded in the API data.

Yes. The output from any MCP tool call becomes part of your searchable index. You combine live Zhumu data with internal documents for a unified knowledge query.

The server touches user account records and meeting metadata. When you index this, ensure the vector store's security protocols protect this specific type of structured information.

You use `list_webinars` to get the data, and LlamaIndex turns that list into a queryable knowledge chunk. You can then ask follow-up questions about those specific webinars.

LlamaIndex lets you combine the structured data from tools like `get_account_report` alongside unstructured PDFs or text files into one single, powerful index.

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