How to Use the Zoho WorkDrive MCP in LlamaIndex

Q: How do I list files in Zoho WorkDrive using LlamaIndex?

You run the listfiles tool, and LlamaIndex immediately indexes that data. This means you can ask complex questions about file content or structure later on.

Q: Can I manage folder creation with Zoho WorkDrive and LlamaIndex?

Yes, the createfolder tool allows for new directory structures. When combined with LlamaIndex, this action can also be logged and indexed as a historical event.

Q: If I need to check permissions in Zoho WorkDrive using LlamaIndex, how do I proceed?

Use the listfilepermissions tool output. This permission data is ideal for indexing because it's granular and critical for security knowledge bases.

Q: Does this MCP Server support finding specific files in Zoho WorkDrive using LlamaIndex?

It does. You can combine listfiles with your RAG pipeline to search based on semantics, not just exact names or paths.

Ground RAG applications with LlamaIndex. Index Zoho WorkDrive data into a searchable knowledge base.

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Connect Zoho WorkDrive MCP to LlamaIndex

Create your Vinkius account to connect Zoho WorkDrive 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 Zoho WorkDrive with LlamaIndex

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LlamaIndex: Searchable File Metadata

The MCP Server allows you to index file metadata for advanced querying. By running `get_file_metadata` and passing the results, LlamaIndex turns raw API data into a vector store. You can then query past configurations or file details semantically. Instead of just getting a list, your RAG application gets an answer grounded in actual Zoho WorkDrive data—like 'What was the last owner of the Q3 budget report?'

LlamaIndex: Tracking Team Structures

You can use the `list_teams` and `list_team_folders` tools, and then index those outputs. This means your knowledge base tracks not just files, but the entire organizational structure of Zoho WorkDrive. This lets you query things like 'Which teams have a folder named Marketing Assets?' without needing complex manual API calls.

LlamaIndex: Indexing File Changes

If you use `list_recent_files`, LlamaIndex takes that list and indexes it. You don't just see the list; your agent can query, 'What were the top three files accessed last month?' The output is a cohesive answer built from the indexed data. This combination of live API calls and vector indexing means you never hallucinate about file existence or status.

Setup guide

Set up Zoho WorkDrive 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 Zoho WorkDrive 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 Zoho WorkDrive tools.",
)
response = await agent.run("List recent Zoho WorkDrive 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 Zoho WorkDrive. 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 Zoho WorkDrive MCP in LlamaIndex

You run the `list_files` tool, and LlamaIndex immediately indexes that data. This means you can ask complex questions about file content or structure later on.

Yes, the `create_folder` tool allows for new directory structures. When combined with LlamaIndex, this action can also be logged and indexed as a historical event.

The server provides file metadata (size, owner, dates), team structure details from `list_teams`, and permission lists. All this structured object information can be added to your unified knowledge index.

Use the `list_file_permissions` tool output. This permission data is ideal for indexing because it's granular and critical for security knowledge bases.

It does. You can combine `list_files` with your RAG pipeline to search based on semantics, not just exact names or paths.

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