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Zoho WorkDrive MCP Server for LlamaIndexGive LlamaIndex instant access to 12 tools to Create Folder, Create Share Link, Delete File, and more

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LlamaIndex specializes in data-aware AI agents that connect LLMs to structured and unstructured sources. Add Zoho WorkDrive 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 App Connector for LlamaIndex

The Zoho WorkDrive app connector for LlamaIndex is a standout in the Industry Titans category — giving your AI agent 12 tools to work with, ready to go from day one.

Vinkius delivers Streamable HTTP and SSE to any MCP client

python
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 Zoho WorkDrive. "
            "You have 12 tools available."
        ),
    )

    response = await agent.run(
        "What tools are available in Zoho WorkDrive?"
    )
    print(response)

asyncio.run(main())
Zoho WorkDrive
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About Zoho WorkDrive MCP Server

Integrate your Zoho WorkDrive cloud storage into your AI workflows to streamline file management and team collaboration through natural conversation.

LlamaIndex agents combine Zoho WorkDrive tool responses with indexed documents for comprehensive, grounded answers. Connect 12 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

  • File & Folder Operations — List, rename, and delete files or folders across your storage with simple commands.
  • Team Collaboration — Access team folders (workspaces) and manage user permissions programmatically.
  • External Sharing — Generate and track external share links for secure file distribution to clients or partners.
  • User Insights — Retrieve profile details and monitor recently accessed or modified files to stay on top of team activity.

The Zoho WorkDrive MCP Server exposes 12 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.

All 12 Zoho WorkDrive tools available for LlamaIndex

When LlamaIndex connects to Zoho WorkDrive through Vinkius, your AI agent gets direct access to every tool listed below — spanning file-management, team-folders, cloud-storage, and more. Every call is secured with network, filesystem, subprocess, and code evaluation entitlements inside a sandboxed runtime. Beyond a simple connection, you get a full AI Gateway with real-time visibility into agent activity, enterprise governance, and optimized token usage.

create_folder

Create a new folder

create_share_link

Create a new share link

delete_file

Delete a file or folder

get_file_metadata

Get file or folder metadata

get_my_profile

Get current user profile

list_file_permissions

List file permissions

list_files

List files and folders

list_recent_files

List recently accessed files

list_share_links

List external share links

list_team_folders

List team folders (workspaces)

list_teams

List all teams

rename_file

Rename a file or folder

Connect Zoho WorkDrive to LlamaIndex via MCP

Follow these steps to wire Zoho WorkDrive into LlamaIndex. The entire setup takes under two minutes — your credentials stay safe behind the Vinkius.

01

Install dependencies

Run pip install llama-index-tools-mcp llama-index-llms-openai
02

Replace the token

Replace [YOUR_TOKEN_HERE] with your Vinkius token
03

Run the agent

Save to agent.py and run: python agent.py
04

Explore tools

The agent discovers 12 tools from Zoho WorkDrive

Why Use LlamaIndex with the Zoho WorkDrive MCP Server

LlamaIndex provides unique advantages when paired with Zoho WorkDrive through the Model Context Protocol.

01

Data-first architecture: LlamaIndex agents combine Zoho WorkDrive tool responses with indexed documents for comprehensive, grounded answers

02

Query pipeline framework lets you chain Zoho WorkDrive tool calls with transformations, filters, and re-rankers in a typed pipeline

03

Multi-source reasoning: agents can query Zoho WorkDrive, a vector store, and a SQL database in a single turn and synthesize results

04

Observability integrations show exactly what Zoho WorkDrive tools were called, what data was returned, and how it influenced the final answer

Zoho WorkDrive + LlamaIndex Use Cases

Practical scenarios where LlamaIndex combined with the Zoho WorkDrive MCP Server delivers measurable value.

01

Hybrid search: combine Zoho WorkDrive real-time data with embedded document indexes for answers that are both current and comprehensive

02

Data enrichment: query Zoho WorkDrive to augment indexed data with live information before generating user-facing responses

03

Knowledge base agents: build agents that maintain and update knowledge bases by periodically querying Zoho WorkDrive for fresh data

04

Analytical workflows: chain Zoho WorkDrive queries with LlamaIndex's data connectors to build multi-source analytical reports

Example Prompts for Zoho WorkDrive in LlamaIndex

Ready-to-use prompts you can give your LlamaIndex agent to start working with Zoho WorkDrive immediately.

01

"Create a new folder named 'Q4 Marketing Assets' inside the root directory and list the contents to confirm it was created."

02

"Generate a new external share link for the 'Client Proposal v2.pdf' file so I can send it to the external vendor."

03

"Show me the workspaces for the 'Engineering Team' and check who has access permissions to the 'Architecture Specs' folder."

Troubleshooting Zoho WorkDrive MCP Server with LlamaIndex

Common issues when connecting Zoho WorkDrive to LlamaIndex through the Vinkius, and how to resolve them.

01

BasicMCPClient not found

Install: pip install llama-index-tools-mcp

Zoho WorkDrive + LlamaIndex FAQ

Common questions about integrating Zoho WorkDrive MCP Server with LlamaIndex.

01

How does LlamaIndex connect to MCP servers?

Use the MCP client adapter to create a connection. LlamaIndex discovers all tools and wraps them as query engine tools compatible with any LlamaIndex agent.
02

Can I combine MCP tools with vector stores?

Yes. LlamaIndex agents can query Zoho WorkDrive tools and vector store indexes in the same turn, combining real-time and embedded data for grounded responses.
03

Does LlamaIndex support async MCP calls?

Yes. LlamaIndex's async agent framework supports concurrent MCP tool calls for high-throughput data processing pipelines.