How do I find my Paperform Access Token?

In your Paperform account, go to **Account Settings** > **API**. There you can create and manage your API access tokens.

Can I see individual form responses?

Yes! Use the `list_submissions` tool to see a list of responses for a specific form, and `get_submission` to retrieve the full data for a particular entry.

Does this support webhook management?

Absolutely. You can use the `list_webhooks` and `create_webhook` tools to monitor and configure integrations for any of your forms.

Paperform MCP Server for LlamaIndex 10 tools — connect in under 2 minutes

Name: Paperform
Availability: InStock
Author: Vinkius

docs.llamaindex.ai/en/stable/module_guides/tools/mcp

Built by Vinkius GDPR 10 Tools Framework

LlamaIndex specializes in data-aware AI agents that connect LLMs to structured and unstructured sources. Add Paperform as an MCP tool provider through Vinkius and your agents can query, analyze, and act on live data alongside your existing indexes.

Get MCP Server for AI Agents

ASK AI ABOUT THIS MCP SERVER

Open in ChatGPT Open in Claude Open in Perplexity

Vinkius supports streamable HTTP and SSE.

python

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 Paperform. "
            "You have 10 tools available."
        ),
    )

    response = await agent.run(
        "What tools are available in Paperform?"
    )
    print(response)

asyncio.run(main())

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About Paperform MCP Server

Connect your Paperform account to any AI agent and take full control of your data collection workflows through natural conversation.

LlamaIndex agents combine Paperform tool responses with indexed documents for comprehensive, grounded answers. Connect 10 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 forms, retrieve detailed configurations, and manage your form library.
Submission Tracking — List and retrieve detailed data for form submissions to analyze responses in real-time.
Webhook Management — List and create webhooks for your forms to integrate with other services effortlessly.
Organizational Visibility — List folders and custom domains to maintain a clear view of your account structure.
Metadata Auditing — List all tags used across your forms to ensure consistent categorization.

The Paperform MCP Server exposes 10 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 Paperform to LlamaIndex via MCP

Follow these steps to integrate the Paperform 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 10 tools from Paperform

Why Use LlamaIndex with the Paperform MCP Server

LlamaIndex provides unique advantages when paired with Paperform through the Model Context Protocol.

Data-first architecture: LlamaIndex agents combine Paperform tool responses with indexed documents for comprehensive, grounded answers

Query pipeline framework lets you chain Paperform tool calls with transformations, filters, and re-rankers in a typed pipeline

Multi-source reasoning: agents can query Paperform, a vector store, and a SQL database in a single turn and synthesize results

Observability integrations show exactly what Paperform tools were called, what data was returned, and how it influenced the final answer

Paperform + LlamaIndex Use Cases

Practical scenarios where LlamaIndex combined with the Paperform MCP Server delivers measurable value.

Hybrid search: combine Paperform real-time data with embedded document indexes for answers that are both current and comprehensive

Data enrichment: query Paperform 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 Paperform for fresh data

Analytical workflows: chain Paperform queries with LlamaIndex's data connectors to build multi-source analytical reports

Paperform MCP Tools for LlamaIndex (10)

These 10 tools become available when you connect Paperform to LlamaIndex via MCP:

create_webhook

Create a new webhook for a form

get_account_info

Get authenticated account information

get_form

Get details for a specific form

get_submission

Get details for a specific submission

list_custom_domains

List all custom domains configured

list_folders

List all form folders

list_forms

List all Paperform forms

list_submissions

List submissions for a form

list_tags

List all tags used in the account

list_webhooks

List webhooks for a form

Example Prompts for Paperform in LlamaIndex

Ready-to-use prompts you can give your LlamaIndex agent to start working with Paperform immediately.

"List all forms in my Paperform account."

"Show me the last 5 submissions for the 'Event Registration' form."

"List all webhooks configured for form 'form_12345'."

Troubleshooting Paperform MCP Server with LlamaIndex

Common issues when connecting Paperform to LlamaIndex through the Vinkius, and how to resolve them.

BasicMCPClient not found

Install: pip install llama-index-tools-mcp

Paperform + LlamaIndex FAQ

Common questions about integrating Paperform MCP Server with LlamaIndex.

How does LlamaIndex connect to MCP servers?

Use the MCP client adapter to create a connection. LlamaIndex discovers all tools and wraps them as query engine tools compatible with any LlamaIndex agent.

Can I combine MCP tools with vector stores?

Yes. LlamaIndex agents can query Paperform tools and vector store indexes in the same turn, combining real-time and embedded data for grounded responses.