How to Use the Showpad MCP in LlamaIndex

Q: What specific Showpad data types can I index using LlamaIndex?

You can index user profiles, asset metadata, and organizational division lists. The agent uses tools like getuserdetails to pull the necessary raw data for indexing.

Q: What happens if I use the MCP Server to list tags in Showpad with LlamaIndex?

The output of listtags gets ingested into your knowledge base. This means you can later ask questions like, 'What assets are missing the 'Legal Review' tag?' and get a factual answer.

Q: Can LlamaIndex track Showpad usage history?

Yes. By indexing asset details (getassetdetails) from multiple sessions, you build a historical record of which assets were viewed or referenced, allowing for trend analysis within the MCP Server.

Ground your AI client in Showpad data: Build RAG knowledge bases with LlamaIndex.

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Connect Showpad MCP to LlamaIndex

Create your Vinkius account to connect Showpad to LlamaIndex — we handle the hosting, security, and runtime updates so you don't have to. No server setup required.

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Setup Showpad with LlamaIndex

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Search and index Showpad assets using LlamaIndex

LlamaIndex doesn't just search; it indexes the results of your queries against Showpad. When you run `search_assets`, the output isn't a list—it’s added to an index, allowing you to query past sessions or configurations later and get answers grounded in actual asset data. This means if you ask about 'Q2 marketing compliance,' the system looks at every piece of metadata retrieved from `list_tags` and finds the answer, not just a keyword match. It turns transient search results into permanent knowledge.

Building Showpad data graphs with LlamaIndex

You can combine asset information with organizational structure to build rich knowledge bases. Call `list_divisions` and then use the resulting IDs in conjunction with `get_user_details`. The index understands that 'Division X' is related to 'User Y,' mapping out relationships far beyond simple lookups. This structured approach helps you answer complex questions, like: 'Show me all assets owned by users in Division A.' The output becomes a queryable knowledge graph.

Retrieving deep Showpad asset details with LlamaIndex

Need to know the specific version and owner of a critical document? Use `get_asset_details` as an API source for your index. The resulting structured data—including creation dates, ownership, and associated channels from `list_channels`—gets permanently stored in the vector store. This means you can query historical data points that would otherwise be lost after a single session. It's perfect for training agents on compliance history or product evolution.

Setup guide

Set up Showpad 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 Showpad 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 Showpad tools.",
)
response = await agent.run("List recent Showpad data")

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Common questions about Showpad MCP in LlamaIndex

It goes beyond keyword matching by indexing the actual metadata. When you run `search_assets`, the results are stored and semantically linked, so future queries understand the context of the asset.

You can index **user profiles**, **asset metadata**, and **organizational division lists**. The agent uses tools like `get_user_details` to pull the necessary raw data for indexing.

You can run a query that first pulls all available users via `list_users`, then uses those IDs to call `get_user_details`. The resulting profile data is indexed, making it searchable alongside content metadata.

The output of `list_tags` gets ingested into your knowledge base. This means you can later ask questions like, 'What assets are missing the 'Legal Review' tag?' and get a factual answer.

Yes. By indexing asset details (`get_asset_details`) from multiple sessions, you build a historical record of which assets were viewed or referenced, allowing for trend analysis within the MCP Server.

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