Integrate Column with Claude, Cursor, Chatbots & AI Agents MCP Server
GDPR Free for SubscribersCompatible with every major AI agent and IDE
GeminiColumn create ach transfer on Column
Fire an ACH to an external routing/account number
Column create bank account on Column
Establish a DDA (Demand Deposit Account)
Column create check on Column
Very useful for legacy vendor systems. Generate and mail a paper check
Column create entity on Column
In production, this goes through compliance screening. Register a business or person KYC target inside Column
Column create wire transfer on Column
Fire an immediate Wire transfer
Column get balance on Column
Audit settled funds inside a Bank Account
Column get bank account on Column
Fetch specific DDA details (Routing info)
Column get statement on Column
Retrieve the generated bank statement artifacts
Column list entities on Column
View all active KYC profiles under the charter
Column list transfers on Column
Sweep historical ACH payment operations
Column list webhooks on Column
View all registered listening streams
Column simulate ach on Column
Trigger Sandbox inbound money movement
Security & Code Integrity Audit
Every tool in the Column MCP Server is continuously audited by the Vinkius Security Engine. We guarantee zero-trust payload isolation, strict data boundaries, and deterministic execution for enterprise-grade AI agents.
How Vinkius protects your data
Is 'column_create_check' actually sending out physical US Mail?
Yes! Column natively operates check printing infrastructure lockboxes. By providing a proper US Address in your chat interface to column_create_check, Column mechanically generates the cheque deducting the amount initially and mails it sequentially. It is incredibly useful for archaic landlord payouts and contractor duties.
Can I audit what my AI agents are doing with this integration?
Yes, Vinkius provides an immutable, HMAC-chained audit log. Every tool execution, payload, and response is tracked in real-time on your dashboard, giving you complete visibility into your agent's actions.
What if the AI ends up reading customer data or confidential information?
We have a built-in digital "bodyguard" called DLP (Data Loss Prevention). If a tool fetches data and the response contains social security numbers, credit cards, or personal customer info, Vinkius magically blocks and erases that information before it is delivered to the AI. The AI works only with what is strictly necessary, and your sensitive data never leaks.
Does the AI train on my tools or API data?
No. Vinkius enforces a strict Zero-Retention policy. Your data simply passes through our secure servers to complete the requested action and is instantly forgotten. Nothing you do here is ever stored, logged, or used to train any artificial intelligence.
What can AI Agents do with Column?
Integrate Column to provide your custom AI agents with direct read and write access to the capabilities listed below.
Next-Gen ach transfers Automation
Connect your AI agent to Column for comprehensive ach transfers coverage. The integration features standard schemas for reliable money moves tool execution.
Managing banking api inside Claude
Provide Claude Code and Cursor with read and write access to banking api. The Column toolkit handles all necessary routing for money moves integrations.
Column. Runs on everything.
From IDE to framework. Every connection governed by Vinkius.
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.
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