Kizeo Forms MCP Server for LlamaIndex 9 tools — connect in under 2 minutes
LlamaIndex specializes in data-aware AI agents that connect LLMs to structured and unstructured sources. Add Kizeo Forms 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 MCP SERVER
Vinkius supports streamable HTTP and SSE.
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 Kizeo Forms. "
"You have 9 tools available."
),
)
response = await agent.run(
"What tools are available in Kizeo Forms?"
)
print(response)
asyncio.run(main())
* Every MCP server runs on Vinkius-managed infrastructure inside AWS - a purpose-built runtime with per-request V8 isolates, Ed25519 signed audit chains, and sub-40ms cold starts optimized for native MCP execution. See our infrastructure
About Kizeo Forms MCP Server
Connect your Kizeo Forms account to any AI agent to automate your field data collection and operational workflows. This MCP server enables your agent to interact with mobile forms, manage data submissions, and query user permissions directly from natural language interfaces.
LlamaIndex agents combine Kizeo Forms tool responses with indexed documents for comprehensive, grounded answers. Connect 9 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
- Form Oversight — List all available mobile forms and retrieve their hierarchical structures and field definitions
- Data Management — Retrieve specific form entries and perform advanced searches using custom field filters
- Push Operations — Pre-fill and push new data entries into forms to streamline field work assignments
- User Administration — Manage account users, update profiles, and control permissions across your organization
- Operational Auditing — Read unread data submissions and monitor field activity in real-time
The Kizeo Forms MCP Server exposes 9 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.
How to Connect Kizeo Forms to LlamaIndex via MCP
Follow these steps to integrate the Kizeo Forms MCP Server with LlamaIndex.
Install dependencies
Run pip install llama-index-tools-mcp llama-index-llms-openai
Replace the token
Replace [YOUR_TOKEN_HERE] with your Vinkius token
Run the agent
Save to agent.py and run: python agent.py
Explore tools
The agent discovers 9 tools from Kizeo Forms
Why Use LlamaIndex with the Kizeo Forms MCP Server
LlamaIndex provides unique advantages when paired with Kizeo Forms through the Model Context Protocol.
Data-first architecture: LlamaIndex agents combine Kizeo Forms tool responses with indexed documents for comprehensive, grounded answers
Query pipeline framework lets you chain Kizeo Forms tool calls with transformations, filters, and re-rankers in a typed pipeline
Multi-source reasoning: agents can query Kizeo Forms, a vector store, and a SQL database in a single turn and synthesize results
Observability integrations show exactly what Kizeo Forms tools were called, what data was returned, and how it influenced the final answer
Kizeo Forms + LlamaIndex Use Cases
Practical scenarios where LlamaIndex combined with the Kizeo Forms MCP Server delivers measurable value.
Hybrid search: combine Kizeo Forms real-time data with embedded document indexes for answers that are both current and comprehensive
Data enrichment: query Kizeo Forms to augment indexed data with live information before generating user-facing responses
Knowledge base agents: build agents that maintain and update knowledge bases by periodically querying Kizeo Forms for fresh data
Analytical workflows: chain Kizeo Forms queries with LlamaIndex's data connectors to build multi-source analytical reports
Kizeo Forms MCP Tools for LlamaIndex (9)
These 9 tools become available when you connect Kizeo Forms to LlamaIndex via MCP:
create_new_user
Requires name, email, and password. Add a new user to the account
delete_account_user
Remove a user from the account
get_form_definition
Get the definition of a specific form
get_form_entry_data
Get data for a specific form submission
list_account_users
List all users in the account
list_all_forms
List all available forms
push_data_to_form
Requires a JSON body with field values. Push a new data entry into a form
search_form_data
Search form data with advanced filters
update_existing_user
Update details for an existing user
Example Prompts for Kizeo Forms in LlamaIndex
Ready-to-use prompts you can give your LlamaIndex agent to start working with Kizeo Forms immediately.
"List all my available forms in Kizeo."
"Search for submissions in form ID '12345' where status is 'Pending'."
"Push a new entry to form '67890' with technician name 'Jane Doe' and site 'South Station'."
Troubleshooting Kizeo Forms MCP Server with LlamaIndex
Common issues when connecting Kizeo Forms to LlamaIndex through the Vinkius, and how to resolve them.
BasicMCPClient not found
pip install llama-index-tools-mcpKizeo Forms + LlamaIndex FAQ
Common questions about integrating Kizeo Forms MCP Server with LlamaIndex.
How does LlamaIndex connect to MCP servers?
Can I combine MCP tools with vector stores?
Does LlamaIndex support async MCP calls?
Connect Kizeo Forms with your favorite client
Step-by-step setup guides for every MCP-compatible client and framework:
Anthropic's native desktop app for Claude with built-in MCP support.
AI-first code editor with integrated LLM-powered coding assistance.
GitHub Copilot in VS Code with Agent mode and MCP support.
Purpose-built IDE for agentic AI coding workflows.
Autonomous AI coding agent that runs inside VS Code.
Anthropic's agentic CLI for terminal-first development.
Python SDK for building production-grade OpenAI agent workflows.
Google's framework for building production AI agents.
Type-safe agent development for Python with first-class MCP support.
TypeScript toolkit for building AI-powered web applications.
TypeScript-native agent framework for modern web stacks.
Python framework for orchestrating collaborative AI agent crews.
Leading Python framework for composable LLM applications.
Data-aware AI agent framework for structured and unstructured sources.
Microsoft's framework for multi-agent collaborative conversations.
Connect Kizeo Forms to LlamaIndex
Get your token, paste the configuration, and start using 9 tools in under 2 minutes. No API key management needed.