How to Use the Kizeo Forms MCP in LlamaIndex

Q: How do I configure Kizeo Forms with LlamaIndex?

Install llama-index-tools-mcp via pip. Initialize a BasicMCPClient with your HTTP endpoint, wrap it in McpToolSpec, and pass the async tool list to your FunctionAgent.

Q: Can LlamaIndex agents create Kizeo Forms users?

Yes. The createnewuser tool accepts a name, email, and password. Your agent can provision accounts based on decisions made during a query session.

Q: How does LlamaIndex write data back to Kizeo Forms?

It uses the pushdatatoform tool. The agent constructs a JSON body matching the required schema and submits the new entry directly to the platform.

Index Kizeo Forms submissions directly into your LlamaIndex knowledge base via this MCP integration.

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Connect Kizeo Forms MCP to LlamaIndex

Create your Vinkius account to connect Kizeo Forms 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 Kizeo Forms with LlamaIndex

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Embed form submissions into LlamaIndex

The `get_form_entry_data` tool pulls raw submission records directly into your index. Your RAG application ingests these entries, embedding them as searchable documents. You stop guessing about field data and start querying actual records. For bulk processing, the agent runs `search_form_data` to grab filtered batches. It feeds those results into your vector store. Users then ask natural language questions about historical field reports.

Ground answers in actual schemas

The `get_form_definition` tool exposes the exact structure of your mobile forms. LlamaIndex reads this structure to understand how your data is organized before attempting to extract specific fields. This prevents your agent from hallucinating column names. It knows the difference between a text field and a photo upload because it read the definition directly from the source.

Map the Kizeo Forms MCP Server

The `list_account_users` tool pulls your entire user directory. Your application cross-references submission data with the active employee list to verify who submitted what. The agent also runs `list_all_forms` to index the available templates. When a user asks about a specific workflow, the agent pulls the exact form ID and context from its localized knowledge base.

Setup guide

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

Install `llama-index-tools-mcp` via pip. Initialize a `BasicMCPClient` with your HTTP endpoint, wrap it in `McpToolSpec`, and pass the async tool list to your `FunctionAgent`.

Yes. The `create_new_user` tool accepts a name, email, and password. Your agent can provision accounts based on decisions made during a query session.

It uses the `push_data_to_form` tool. The agent constructs a JSON body matching the required schema and submits the new entry directly to the platform.

You can pass an allowed tools list during setup. This restricts the agent to specific read operations like fetching definitions if you want to prevent unauthorized writes.

The sandbox holding your MCP connection is completely ephemeral. Your names, emails, and passwords pass through memory and disappear after the operation completes. Vinkius maintains strict isolation for every request.

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