Basin MCP Server for LlamaIndex 12 tools — connect in under 2 minutes
LlamaIndex specializes in data-aware AI agents that connect LLMs to structured and unstructured sources. Add Basin as an MCP tool provider through Vinkius and your agents can query, analyze, and act on live data alongside your existing indexes.
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Vinkius supports streamable HTTP and SSE.
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 Basin. "
"You have 12 tools available."
),
)
response = await agent.run(
"What tools are available in Basin?"
)
print(response)
asyncio.run(main())
* Every MCP server runs on Vinkius-managed infrastructure inside AWS - a purpose-built runtime with per-request V8 isolates, Ed25519 signed audit chains, and sub-40ms cold starts optimized for native MCP execution. See our infrastructure
About Basin MCP Server
Empower your AI agent to orchestrate your entire lead capture workflow with Basin, the powerful form backend for modern websites. By connecting Basin to your agent, you transform static submission data into a natural conversation. Your agent can instantly audit new form entries, identify and flag spam, retrieve specific lead details, and even manually refire webhooks without you ever touching a dashboard. Whether you're managing a single contact page or a complex lead generation network, your agent acts as a real-time submission manager, ensuring your inbound data is always clean and actionable.
LlamaIndex agents combine Basin tool responses with indexed documents for comprehensive, grounded answers. Connect 12 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
- Submission Management — List all form submissions across your account or dive deep into specific entry details via natural language.
- Spam Control — Instantly mark suspicious entries as spam or unmark false positives to maintain a high-quality lead database.
- Form Oversight — List all forms in your Basin account and retrieve detailed metadata for each to map your data collection points.
- Webhook Triggers — Manually refire webhooks for specific submissions to ensure your downstream integrations are correctly updated.
- Real-time Auditing — Retrieve the single latest submission instantly to respond to new leads with zero delay.
The Basin MCP Server exposes 12 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 Basin to LlamaIndex via MCP
Follow these steps to integrate the Basin 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 12 tools from Basin
Why Use LlamaIndex with the Basin MCP Server
LlamaIndex provides unique advantages when paired with Basin through the Model Context Protocol.
Data-first architecture: LlamaIndex agents combine Basin tool responses with indexed documents for comprehensive, grounded answers
Query pipeline framework lets you chain Basin tool calls with transformations, filters, and re-rankers in a typed pipeline
Multi-source reasoning: agents can query Basin, a vector store, and a SQL database in a single turn and synthesize results
Observability integrations show exactly what Basin tools were called, what data was returned, and how it influenced the final answer
Basin + LlamaIndex Use Cases
Practical scenarios where LlamaIndex combined with the Basin MCP Server delivers measurable value.
Hybrid search: combine Basin real-time data with embedded document indexes for answers that are both current and comprehensive
Data enrichment: query Basin 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 Basin for fresh data
Analytical workflows: chain Basin queries with LlamaIndex's data connectors to build multi-source analytical reports
Basin MCP Tools for LlamaIndex (12)
These 12 tools become available when you connect Basin to LlamaIndex via MCP:
delete_submission
Permanently delete a submission
get_account_check
Verify Basin connection
get_form
Get details for a specific form
get_latest_submission
Retrieve the single most recent submission
get_submission
Get full details for a specific submission
list_form_submissions
Helper to list submissions for a specific form
list_forms
List all forms in your Basin account
list_submissions
List all submissions across all forms
mark_as_not_spam
Convenience tool to unmark a submission as spam
mark_as_spam
Convenience tool to mark a submission as spam
refire_webhooks
Manually trigger webhooks for a specific submission
update_submission
Update submission metadata (e.g. mark as spam)
Example Prompts for Basin in LlamaIndex
Ready-to-use prompts you can give your LlamaIndex agent to start working with Basin immediately.
"Show me the latest submission from my contact forms."
"Mark submission ID 'sub_abc123' as spam."
"List all forms in my Basin account."
Troubleshooting Basin MCP Server with LlamaIndex
Common issues when connecting Basin to LlamaIndex through the Vinkius, and how to resolve them.
BasicMCPClient not found
pip install llama-index-tools-mcpBasin + LlamaIndex FAQ
Common questions about integrating Basin MCP Server with LlamaIndex.
How does LlamaIndex connect to MCP servers?
Can I combine MCP tools with vector stores?
Does LlamaIndex support async MCP calls?
Connect Basin with your favorite client
Step-by-step setup guides for every MCP-compatible client and framework:
Anthropic's native desktop app for Claude with built-in MCP support.
AI-first code editor with integrated LLM-powered coding assistance.
GitHub Copilot in VS Code with Agent mode and MCP support.
Purpose-built IDE for agentic AI coding workflows.
Autonomous AI coding agent that runs inside VS Code.
Anthropic's agentic CLI for terminal-first development.
Python SDK for building production-grade OpenAI agent workflows.
Google's framework for building production AI agents.
Type-safe agent development for Python with first-class MCP support.
TypeScript toolkit for building AI-powered web applications.
TypeScript-native agent framework for modern web stacks.
Python framework for orchestrating collaborative AI agent crews.
Leading Python framework for composable LLM applications.
Data-aware AI agent framework for structured and unstructured sources.
Microsoft's framework for multi-agent collaborative conversations.
Connect Basin to LlamaIndex
Get your token, paste the configuration, and start using 12 tools in under 2 minutes. No API key management needed.