How to Use the Basin MCP in LlamaIndex

Q: Can LlamaIndex index all my Basin forms at once?

You start by running listforms to get the directory. The agent can then iterate through each ID, pulling down the respective submissions to build a complete vector index.

Q: Does the Basin MCP Server support data access filtering?

Yes. You can restrict the agent using the allowedtools parameter. If you only want it reading data, block destructive commands like deletesubmission during setup.

Q: How do I check my Basin connection status in LlamaIndex?

The agent can run getaccountcheck at the start of any session. This verifies the API credentials are valid before attempting to build or update your RAG index.

Turn form submissions into searchable knowledge. Connect Basin to LlamaIndex to query leads, spam patterns, and webhook statuses.

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Connect Basin MCP to LlamaIndex

Create your Vinkius account to connect Basin to LlamaIndex 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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Setup Basin with LlamaIndex

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Basin MCP Server Data Indexing

Form data usually sits dead in a database. With this MCP Server, LlamaIndex pulls your raw submissions and converts them into queryable document nodes. You ask questions about lead quality, and the engine answers using actual backend data. The `list_form_submissions` tool grabs batches of recent entries. Your RAG pipeline ingests the text, embeds it, and makes every piece of customer feedback instantly searchable across your entire workspace.

Semantic Spam Analysis

Finding patterns in junk submissions takes hours of manual reading. By indexing your form history, you can ask your agent to identify common phrases used by bots. The system cross-references good leads against bad ones. Once you identify a new pattern, the agent can call `update_submission` or `mark_as_spam` directly from the chat interface to clean the dataset.

Webhook Debugging Context

Broken integrations leave a trail of missing data. Your LlamaIndex application maps out exactly which forms are failing by querying the status of recent payloads. You run `get_submission` to pull the exact JSON that failed to send. After fixing the receiving endpoint, a quick `refire_webhooks` command pushes the trapped data to its final destination.

Setup guide

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

Grab the llama-index-tools-mcp package. Set up a BasicMCPClient with your endpoint URL, convert it using McpToolSpec, and hand the tool list to your FunctionAgent.

You start by running `list_forms` to get the directory. The agent can then iterate through each ID, pulling down the respective submissions to build a complete vector index.

Yes. You can restrict the agent using the allowed_tools parameter. If you only want it reading data, block destructive commands like `delete_submission` during setup.

The agent can run `get_account_check` at the start of any session. This verifies the API credentials are valid before attempting to build or update your RAG index.

PII from your form fields remains protected. Vinkius runs the server in an ephemeral V8 isolate, ensuring your customer names and emails never leak into persistent storage outside your controlled vector store.

Use it with your favorite AI tools

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