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How to Use the Kizeo Forms MCP in LangChain

Build multi-step reasoning pipelines that manage Kizeo Forms data and users directly from LangChain via this MCP server.

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LangChain

Connect Kizeo Forms MCP to LangChain

Create your Vinkius account to connect Kizeo Forms to LangChain 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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Chain Kizeo Forms data retrieval

The `search_form_data` tool lets your agent pull specific field submissions based on advanced filters. LangChain takes that output and feeds it directly into your next operation. You build the pipeline, and the agent decides the sequence. The `get_form_definition` tool maps your schema before you pull records. Your agent reads the structure, understands the fields, and then executes the search. LangSmith tracks the latency and token usage for every step.

Automate user provisioning via LangChain

The `create_new_user` tool requires a name, email, and password to provision an account. Your ReAct agent gathers these details from your internal database or a chat prompt and fires the request. The `delete_account_user` tool handles offboarding when an employee leaves. You string this operation together with `list_account_users` to audit your entire directory in one go.

Push entries with the MCP Server

The `push_data_to_form` tool takes a JSON body with field values and creates a new entry. Your agent formats the payload based on the results of previous chain links. The MCP standard handles the connection routing. Your agent pulls data from a vector store, formats it to match the form definition, and pushes the record without custom HTTP requests.

Setup guide

Set up Kizeo Forms MCP in LangChain

Prerequisites

  • Python 3.10+ installed
  • langchain-mcp-adapters + langgraph packages
  • Active Vinkius subscription with a valid endpoint token
  1. 1

    Install dependencies

    Run pip install langchain-mcp-adapters langgraph langchain-openai. The MCP adapters package converts MCP tools into native LangChain BaseTool objects.

  2. 2

    Connect via HTTP transport

    Use MultiServerMCPClient with "transport": "http" pointing to your Vinkius endpoint. Replace [YOUR_TOKEN_HERE] with your token from cloud.vinkius.com.

  3. 3

    Create a ReAct agent

    Pass the discovered tools to create_react_agent() from LangGraph. The agent automatically routes Kizeo Forms tool calls through the MCP protocol.

  4. 4

    Run with any LLM

    Swap ChatOpenAI for ChatAnthropic, ChatGoogleGenerativeAI, or any LangChain-compatible model. The MCP tools work identically across all providers.

agent.py
from langchain_mcp_adapters.client import MultiServerMCPClient
from langgraph.prebuilt import create_react_agent
from langchain_openai import ChatOpenAI

async with MultiServerMCPClient({
    "kizeo-forms-mcp": {
        "transport": "http",
        "url": "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp",
    }
}) as client:
    tools = client.get_tools()

    agent = create_react_agent(
        ChatOpenAI(model="gpt-4o"),
        tools,
    )
    result = await agent.ainvoke({
        "messages": "List recent Kizeo Forms transactions"
    })
    print(result["messages"][-1].content)

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.

Why Choose Vinkius

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Single dashboard

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place for every integration

Every tool your AI connects to, managed from a single screen. One account, complete control.

Common questions about Kizeo Forms MCP in LangChain

Install `langchain-mcp-adapters` and `langgraph`. Use `MultiServerMCPClient` with your HTTP transport URL. Call `client.get_tools()` and pass the array to your agent.
Yes. The `update_existing_user` tool allows your agent to modify account details. You just need to provide the target user ID and the new parameters.
LangSmith handles full observability for these operations. You see the exact input payload, the output response, and the latency for every tool call.
It runs `list_all_forms` to get the directory. From there, it selects the correct form ID to pass into subsequent data operations.
Vinkius isolates the connection in a zero-trust V8 sandbox. Your form entries and field values remain ephemeral. Authentication happens at the endpoint layer, so your raw credentials never leak into the execution context.

Start using the Kizeo Forms MCP today

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