How to Use the OpnForm MCP in LlamaIndex

Q: How do I connect LlamaIndex to OpnForm?

Install the adapter via pip install llama-index-tools-mcp. Use BasicMCPClient to connect to the MCP Server URL, then wrap it with McpToolSpec.

Q: Can LlamaIndex update OpnForm configurations?

Your FunctionAgent can execute the updateform tool if you include it in the allowed tools list. It just needs the form ID and the new JSON schema.

Q: How do I expose OpnForm MCP tools to my agent?

Call await mcptoolspec.totoollistasync() to generate the tool array. Pass that array directly into your agent's constructor.

Q: Can I retrieve my current user details?

The getme tool returns your active profile information. This helps the agent verify it has the correct permissions before attempting to modify workspaces.

Turn your OpnForm submissions into a searchable LlamaIndex knowledge base using this dedicated MCP Server.

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Connect OpnForm MCP to LlamaIndex

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Setup OpnForm with LlamaIndex

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Index Form Submissions with LlamaIndex

The `list_submissions` tool pulls hundreds of form responses at once via this MCP connection so your RAG setup can index them. OpnForm user feedback sitting in a database does you no good if you can't search it. LlamaIndex takes that raw JSON and embeds it directly into your vector store. You can ask questions about your user feedback, and the agent grounds its answers in actual data instead of making things up.

Manage Workspaces through RAG Agents

The `list_workspaces` and `list_forms` tools let your knowledge-augmented AI map out exactly what data collection tools you currently have active. You can give your agent the ability to read your entire form architecture. If someone asks the agent for a specific form's configuration, it executes `get_form`. It retrieves the conditional logic and file upload settings, giving you exact details without logging into the dashboard.

Keep the Vector Store Clean

The `delete_form` tool removes deprecated campaigns from the source so old forms don't clutter your semantic search results. You want to keep your indexes highly relevant. You can also handle individual bad records. If a user uploads garbage data, `delete_submission` wipes it out. Re-index your vector store, and the noise is gone.

Setup guide

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

Install the adapter via `pip install llama-index-tools-mcp`. Use `BasicMCPClient` to connect to the MCP Server URL, then wrap it with `McpToolSpec`.

Your FunctionAgent can execute the `update_form` tool if you include it in the allowed tools list. It just needs the form ID and the new JSON schema.

Call `await mcp_tool_spec.to_tool_list_async()` to generate the tool array. Pass that array directly into your agent's constructor.

The `get_me` tool returns your active profile information. This helps the agent verify it has the correct permissions before attempting to modify workspaces.

The MCP Server processes your workspace IDs and conditional logic schemas inside a zero-trust environment. Vinkius requires a single endpoint token for authentication, and the connection drops the moment your LlamaIndex query resolves. No data persists on our infrastructure.

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