DC Bank Integration for AI Agents for Openclaw

A powerful financial integration skill that enables AI agents to manage accounts, transactions, and loans via the Membrane framework.

membranedev
v1.0.2
Apr 30, 2026
0
387
0

Install & Download

1. ClawHub CLI

The fastest way to install a skill directly from the registry.

npx clawhub@latest install dc-bank

2. Manual Installation

Copy the skill folder to one of these locations

Global
~/.openclaw/skills/
Workspace
<project>/skills/

Priority: Workspace > Local > Bundled

3. Prompt Installation

Copy this prompt to OpenClaw to install it automatically.

Help me install dc-bank using Clawhub. If Clawhub is not installed, install it first (npm i -g clawhub).

Prefer to download?

Get the raw skill files in a ZIP archive.

What is DC Bank Integration for AI Agents?

The DC Bank skill is a specialized integration designed for the Membrane ecosystem, allowing AI agents to interact securely with DC Bank's online platform. It simplifies the complex world of financial data by providing a standardized interface for managing accounts, customer records, and loan information without the developer needing to manage complex authentication plumbing.

By leveraging Openclaw Skills, developers can empower their agents to perform banking operations while ensuring that sensitive credentials remain server-side. The skill acts as a bridge, translating natural language intents into actionable financial commands through a secure proxy and pre-built action library.

DC Bank Integration for AI Agents Use Cases

  • Automating bank statement retrieval and transaction categorization.
  • Building AI-driven financial assistants that can query loan balances and payment schedules.
  • Syncing real-time banking data with external accounting or ERP systems.
  • Facilitating secure, authenticated access to financial services within AI coding environments.

How DC Bank Integration for AI Agents Works

  1. Installation: The Membrane CLI is installed to provide the necessary communication layer between the local environment and the banking API.
  2. Authentication: The user authenticates via a secure browser-based flow using Openclaw Skills protocols, which automatically handles token refresh and session management.
  3. Connection Establishment: A dedicated connection is created for the specific DC Bank domain, moving from a building state to a ready state once verified.
  4. Action Discovery: The agent uses natural language search to identify specific banking actions (e.g., fetching transactions) based on the user's intent.
  5. Execution & Proxying: The agent executes pre-built actions or sends direct proxy requests to the API, with Membrane automatically injecting the required headers and security tokens.

DC Bank Integration for AI Agents Setup

First, install the required CLI tool globally:

npm install -g @membranehq/cli@latest

Authenticate your agent (e.g., openclaw) to manage sessions:

membrane login --tenant --clientName=openclaw

Create a connection to the DC Bank environment:

membrane connection ensure "https://www.dcbank.ca/" --json

DC Bank Integration for AI Agents Data Schema & Taxonomy

The skill organizes financial data into a hierarchical taxonomy. Below are the primary entities managed through Openclaw Skills:

Entity Description
Account Contains balance information, account types, and status.
Transaction Child of Account; includes date, amount, description, and merchant data.
Customer High-level profile containing contact information and linked accounts.
Loan Details regarding principal, interest rates, and maturity dates.

DC Bank Integration for AI Agents Advanced Features

  • Natural Language Action Discovery: Use the --intent flag to find the best API endpoint for a specific task without reading documentation.
  • Transparent Proxying: Send raw requests to any DC Bank endpoint while the skill automatically handles authentication headers.
  • Long-polling Support: Utilize the --wait flag for asynchronous connection building and complex transaction processing.
  • Multi-Agent Optimization: Tailor tool behaviors specifically for agents like openclaw, Claude, or Windsurf using the clientName parameter.

SKILL.md


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