How can I check the latest lead that submitted a form?

Use the `get_latest_submission` tool. It automatically retrieves the single most recent entry across all your forms, allowing you to respond instantly.

Can the agent filter out spam submissions?

Yes. Use the `mark_as_spam` tool with a Submission ID to flag suspicious entries. You can also use `mark_as_not_spam` to restore entries that were incorrectly flagged.

Is it possible to re-send data to my CRM if it failed?

Yes. Use the `refire_webhooks` tool by providing the Submission ID. This manually triggers any webhooks associated with that form, ensuring your external integrations receive the data.

Basin MCP Server for LangChain 12 tools — connect in under 2 minutes

Name: Basin
Availability: InStock
Author: Vinkius

python.langchain.com/docs/integrations/tools/mcp

Built by Vinkius GDPR 12 Tools Framework

LangChain is the leading Python framework for composable LLM applications. Connect Basin through Vinkius and LangChain agents can call every tool natively. combine them with retrievers, memory, and output parsers for sophisticated AI pipelines.

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 langchain_mcp_adapters.client import MultiServerMCPClient
from langchain_openai import ChatOpenAI
from langgraph.prebuilt import create_react_agent

async def main():
    # Your Vinkius token. get it at cloud.vinkius.com
    async with MultiServerMCPClient({
        "basin": {
            "transport": "streamable_http",
            "url": "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp",
        }
    }) as client:
        tools = client.get_tools()
        agent = create_react_agent(
            ChatOpenAI(model="gpt-4o"),
            tools,
        )
        response = await agent.ainvoke({
            "messages": [{
                "role": "user",
                "content": "Using Basin, show me what tools are available.",
            }]
        })
        print(response["messages"][-1].content)

asyncio.run(main())

Fully ManagedVinkius Servers

60%Token savings

High SecurityEnterprise-grade

IAMAccess control

EU AI ActCompliant

DLPData protection

V8 IsolateSandboxed

Ed25519Audit chain

<40msKill switch

Stream every event to Splunk, Datadog, or your own webhook in real-time

* 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.

LangChain's ecosystem of 500+ components combines seamlessly with Basin through native MCP adapters. Connect 12 tools via Vinkius and use ReAct agents, Plan-and-Execute strategies, or custom agent architectures. with LangSmith tracing giving full visibility into every tool call, latency, and token cost.

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 LangChain 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 LangChain via MCP

Follow these steps to integrate the Basin MCP Server with LangChain.

Install dependencies

Run pip install langchain langchain-mcp-adapters langgraph langchain-openai

Replace the token

Replace [YOUR_TOKEN_HERE] with your Vinkius token

Run the agent

Save the code and run python agent.py

Explore tools

The agent discovers 12 tools from Basin via MCP

Why Use LangChain with the Basin MCP Server

LangChain provides unique advantages when paired with Basin through the Model Context Protocol.

The largest ecosystem of integrations, chains, and agents. combine Basin MCP tools with 500+ LangChain components

Agent architecture supports ReAct, Plan-and-Execute, and custom strategies with full MCP tool access at every step

LangSmith tracing gives you complete visibility into tool calls, latencies, and token usage for production debugging

Memory and conversation persistence let agents maintain context across Basin queries for multi-turn workflows

Basin + LangChain Use Cases

Practical scenarios where LangChain combined with the Basin MCP Server delivers measurable value.

RAG with live data: combine Basin tool results with vector store retrievals for answers grounded in both real-time and historical data

Autonomous research agents: LangChain agents query Basin, synthesize findings, and generate comprehensive research reports

Multi-tool orchestration: chain Basin tools with web scrapers, databases, and calculators in a single agent run

Production monitoring: use LangSmith to trace every Basin tool call, measure latency, and optimize your agent's performance

Basin MCP Tools for LangChain (12)

These 12 tools become available when you connect Basin to LangChain 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 LangChain

Ready-to-use prompts you can give your LangChain 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 LangChain

Common issues when connecting Basin to LangChain through the Vinkius, and how to resolve them.

MultiServerMCPClient not found

Install: pip install langchain-mcp-adapters

Basin + LangChain FAQ

Common questions about integrating Basin MCP Server with LangChain.

How does LangChain connect to MCP servers?

Use langchain-mcp-adapters to create an MCP client. LangChain discovers all tools and wraps them as native LangChain tools compatible with any agent type.

Which LangChain agent types work with MCP?

All agent types including ReAct, OpenAI Functions, and custom agents work with MCP tools. The tools appear as standard LangChain tools after the adapter wraps them.