How to Use the WPS 365 MCP in LlamaIndex

Q: How do I query WPS 365 and LlamaIndex for user information?

You index the results from listusers. Then, you can semantically search that knowledge base to find specific users or groups without writing a rigid API call.

Q: Does WPS 365 and LlamaIndex handle file content indexing?

Yes. The results from getfileinfo are indexed, meaning you can ask questions about the document's properties (size, creation date) and get answers grounded in the data.

Q: Can I use WPS 365 and LlamaIndex to track document changes?

By indexing the results of getfileinfo over time, you can create a knowledge base that tracks metadata changes, helping you understand version history.

Ground WPS 365 API data for RAG apps using LlamaIndex.

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Connect WPS 365 MCP to LlamaIndex

Create your Vinkius account to connect WPS 365 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.

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Setup WPS 365 with LlamaIndex

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Build Knowledge Bases from File Metadata

LlamaIndex indexes the results of `get_file_info` and folder contents. You can query past sessions to know exactly what metadata was associated with a document, not just rely on memory. This turns temporary API calls into permanent knowledge chunks, letting you build RAG apps grounded in your live file system.

Semantic Search for Collaboration Details

The tool output from `list_collaborators` becomes part of a searchable index. Instead of asking 'Who works on X?', you ask 'Who was working with John Doe on the Q3 report?' The RAG application finds the answer by searching indexed records, not just calling the API in real-time.

Querying WPS 365 Structure and Users

You can combine `list_folders` and `get_folder_content` into a single indexable knowledge graph. Your agent answers, 'What documents are in the Finance folder?' by querying the indexed structure. This gives you deep insights into your file hierarchy that go way beyond simple API calls.

Setup guide

Set up WPS 365 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 WPS 365 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 WPS 365 tools.",
)
response = await agent.run("List recent WPS 365 data")

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Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by WPS 365. 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.

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Common questions about WPS 365 MCP in LlamaIndex

You index the results from `list_users`. Then, you can semantically search that knowledge base to find specific users or groups without writing a rigid API call.

Yes. The results from `get_file_info` are indexed, meaning you can ask questions about the document's properties (size, creation date) and get answers grounded in the data.

This MCP Server touches file metadata, user IDs, and folder structures. The indexed data includes names, paths, collaboration lists, and organizational details.

By indexing the results of `get_file_info` over time, you can create a knowledge base that tracks metadata changes, helping you understand version history.

The server touches file metadata. This includes document names, paths, creation dates, and collaborator IDs. The indexed data remains within your secure knowledge base.

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