How to Use the Zoho Creator MCP in LlamaIndex
Build knowledge-augmented AI for Zoho Creator using LlamaIndex.
Works with every AI agent you already use
…and any MCP-compatible client
Connect Zoho Creator MCP to LlamaIndex
Create your Vinkius account to connect Zoho Creator 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.
Indexing Zoho Creator Data
LlamaIndex doesn't just return data; it indexes the results into a searchable knowledge base. When you run `get_report_records`, the output becomes part of your vector store. This means later queries can reference that exact report content, keeping answers grounded in live API data. You query past sessions or configuration changes and get answers based on actual Zoho Creator API calls, not just general knowledge.
Mapping App Structure for Search
Need to understand how an app is built? By calling `get_app_metadata` and `list_app_forms`, the output gets indexed. This lets your RAG application search across not just records, but the structural definitions of your entire Zoho Creator environment. It’s a way to query 'Which form was used in App X?' and get an answer from historical API data.
Discovering all Zoho Creator Assets
The MCP Server lets you index the entire scope of your system. Tools like `list_applications` and `list_workspaces` are used to build a comprehensive, indexed map. This allows users to ask questions like 'What was the name of the workspace where App Y lived?' and get an answer from the stored metadata.
Set up Zoho Creator MCP in LlamaIndex
Prerequisites
- Python 3.10+ installed
-
llama-index-tools-mcppackage - 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 providesBasicMCPClientandMcpToolSpec. - 2
Connect with BasicMCPClient
Point
BasicMCPClientto 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 Creator MCP tools into nativeFunctionToolobjects that any LlamaIndex agent can use. - 4
Run with any LLM
Create a
FunctionAgentwith the tools and your preferred LLM. SwapOpenAIforAnthropic,Gemini, or any LlamaIndex-supported provider.
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 Creator tools.",
)
response = await agent.run("List recent Zoho Creator data") Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by Zoho Creator. 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
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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.
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Common questions about Zoho Creator MCP in LlamaIndex
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