OFX Bank Statement Parser Connector for AI agents.
1 live capability
Analyze your bank transactions and spending habits without uploading raw files to the cloud.
Waiting for input…
Why people use OFX Bank Statement Parser
OFX Bank Statement Parser for Private Financial Analysis
This Connector changes that by handling the heavy lifting for you. You just point your AI at the file, and the parser extracts the dates, amounts, and descriptions into a clean format. You get a clear picture of your spending in seconds without ever having to touch a single line of raw code or copy-paste a single character.
What Vinkius changes
You get organized financial data without ever exposing your private bank files to the cloud.
Use it from Claude, ChatGPT, Cursor or another AI client you already have.
One account · 6,100+ Connectors
- Real-world use case 01
Tracking monthly subscriptions
Ask your agent to find every recurring charge from your bank export to see what you can cancel.
- Real-world use case 02
Business expense auditing
Give your agent a file and ask it to sum up all payments made to specific vendors like AWS or Stripe.
- Real-world use case 03
Budget vs. Actual analysis
Have your agent compare your actual spending from a bank export against your planned monthly budget.
Complete set · 1capability
The complete OFX Bank Statement Parser capability set.
These are the exact actions your AI can choose when you ask it to work with OFX Bank Statement Parser.
01
1 capability in this set.
Part of 1 available through OFX Bank Statement Parser.
- 01 Capability
Parse ofx bank statement
Converts your bank's OFX or QFX export into a clean JSON list of transactions. This lets your AI agent see your spending history without getting confused by messy bank formatting.
Set up in minutes
One URL. Then ask OFX Bank Statement Parser to work.
Claude and ChatGPT only need the Connector URL. Copy it once, add it in settings, and use OFX Bank Statement Parser from the conversation.
Choose your client
Live previewAdvanced clients IDE · CLI
Claude · Web + desktop
Connector URL · ready to paste
Streamable HTTPhttps://edge.vinkius.com/vk_preview_mv6UQOimHaTOOFSwdGd6Yu85pDgtPJ2Wx7YF30Nz/mcp - Step 01
Open Connectors
In Claude Web or Claude Desktop, open Settings and choose Connectors.
- Step 02
Add the URL
Choose Add custom connector, name it OFX Bank Statement Parser, and paste the URL above.
- Step 03
Turn it on in chat
Select +, open Connectors, and enable OFX Bank Statement Parser for the conversation.
ChatGPT · Web + desktop
Connector URL · ready to paste
Streamable HTTPhttps://edge.vinkius.com/vk_preview_mv6UQOimHaTOOFSwdGd6Yu85pDgtPJ2Wx7YF30Nz/mcp - Step 01
Open MCP settings
On desktop, open Settings and MCP servers. On web, open your workspace app or connector settings.
- Step 02
Add the URL
Choose Add server with Streamable HTTP, or create a custom MCP app, then paste the OFX Bank Statement Parser URL.
- Step 03
Save and start
Save the connection and enable OFX Bank Statement Parser in your conversation. Desktop may ask you to restart once.
Cursor · IDE configuration
Advanced setup
{
"mcpServers": {
"ofx-bank-statement-parser": {
"url": "https://edge.vinkius.com/vk_preview_mv6UQOimHaTOOFSwdGd6Yu85pDgtPJ2Wx7YF30Nz/mcp"
}
}
} - Step 01
Open MCP Settings
Press Cmd+Shift+P (macOS) or Ctrl+Shift+P (Windows/Linux) → search "MCP Settings"
- Step 02
Add the server config
Paste the JSON configuration above into the mcp.json file that opens
- Step 03
Save the file
Cursor will automatically detect the new Connector
- Step 04
Start using OFX Bank Statement Parser
Open Agent mode in chat and ask: "Using OFX Bank Statement Parser, help me...". 1 tools available
VS Code Copilot · IDE configuration
Advanced setup
{
"mcpServers": {
"ofx-bank-statement-parser": {
"url": "https://edge.vinkius.com/vk_preview_mv6UQOimHaTOOFSwdGd6Yu85pDgtPJ2Wx7YF30Nz/mcp"
}
}
} - Step 01
Create MCP config
Create a .vscode/mcp.json file in your project root
- Step 02
Add the server config
Paste the JSON configuration above
- Step 03
Enable Agent mode
Open GitHub Copilot Chat and switch to Agent mode using the dropdown
- Step 04
Start using OFX Bank Statement Parser
Ask Copilot: "Using OFX Bank Statement Parser, help me...". 1 tools available
Windsurf · IDE configuration
Advanced setup
{
"mcpServers": {
"ofx-bank-statement-parser": {
"url": "https://edge.vinkius.com/vk_preview_mv6UQOimHaTOOFSwdGd6Yu85pDgtPJ2Wx7YF30Nz/mcp"
}
}
} - Step 01
Open MCP Settings
Go to Settings → MCP Configuration or press Cmd+Shift+P and search "MCP"
- Step 02
Add the server
Paste the JSON configuration above into mcp_config.json
- Step 03
Save and reload
Windsurf will detect the new server automatically
- Step 04
Start using OFX Bank Statement Parser
Open Cascade and ask: "Using OFX Bank Statement Parser, help me...". 1 tools available
Cline · IDE configuration
Advanced setup
{
"mcpServers": {
"ofx-bank-statement-parser": {
"url": "https://edge.vinkius.com/vk_preview_mv6UQOimHaTOOFSwdGd6Yu85pDgtPJ2Wx7YF30Nz/mcp"
}
}
} - Step 01
Open Cline MCP Settings
Click the Connectors icon in the Cline sidebar panel
- Step 02
Add remote server
Click "Add Connector" and paste the configuration above
- Step 03
Enable the server
Toggle the server switch to ON
- Step 04
Start using OFX Bank Statement Parser
Ask Cline: "Using OFX Bank Statement Parser, help me...". 1 tools available
Claude Code · Terminal command
Advanced setup
claude mcp add ofx-bank-statement-parser --transport http "https://edge.vinkius.com/vk_preview_mv6UQOimHaTOOFSwdGd6Yu85pDgtPJ2Wx7YF30Nz/mcp" - Step 01
Install Claude Code
Run npm install -g @anthropic-ai/claude-code if not already installed
- Step 02
Add the Connector
Run the command above in your terminal
- Step 03
Verify the connection
Run claude mcp to list connected servers, or type /mcp inside a session
- Step 04
Start using OFX Bank Statement Parser
Ask Claude: "Using OFX Bank Statement Parser, show me...". 1 tools are ready
Where the request belongs
Work ofx can move forward.
This capability is for anyone who handles personal or business finances and wants to use AI without compromising their privacy. It's built for people who find manual spreadsheet entry tedious and want a secure way to query their own spending history.
Personal Finance Enthusiast
Use this to automate your monthly spending summaries and find recurring subscriptions without manual data entry.
Small Business Owner
Quickly tally up business expenses from different bank accounts to see your real-time burn rate.
Bookkeeper
Extract transaction data into a structured format to speed up the categorization of business accounts.
Privacy-Conscious User
Analyze your money using an AI client while ensuring your raw bank files never touch a public cloud.
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Bring your own AI
Change the model, client or framework. Keep ofx connected.
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Before you connect
Questions about ofx.
The practical details behind the request, access and result.
How does the OFX Bank Statement Parser keep my data safe?
It processes your bank files locally on your computer. Your sensitive financial information never leaves your machine, so it's never uploaded to a cloud service or used to train any models.
What types of files can I use with the OFX Bank Statement Parser?
You can use any standard OFX or QFX export from your bank. These are the common file types used for moving transaction data between different financial apps.
Can the OFX Bank Statement Parser help me with my small business taxes?
Yes, it can help you organize your business spending. By turning your bank exports into a clean list, you can ask your AI to sum up expenses for specific categories or vendors.
Do I need to be a programmer to use the OFX Bank Statement Parser?
Not at all. You just need to provide the file path to your bank export. The Connector handles all the technical parsing, so you can just talk to your AI like a normal person.
Why shouldn't I just copy and paste my bank statement into the AI?
Bank files use a messy format that often confuses AI. If you copy-paste, the AI might misread the numbers or miss transactions entirely. This capability ensures the data is perfectly organized before the AI sees it.
Can I use the OFX Bank Statement Parser with my local bank files?
That's exactly what it's built for. It's designed to work with the files you download directly from your bank's website or mobile app to keep your data private.
Are my bank statements uploaded to Anthropic or OpenAI?
Absolutely not. The parsing engine runs entirely on your local machine. It extracts the raw numbers and feeds them securely to the AI chat context window only during the session.
What exact data is extracted from the OFX?
It extracts the bank ID, account ID, currency, and the full array of statement transactions including TRNTYPE, DTPOSTED, TRNAMT, FITID, NAME, and MEMO.
Can it process QFX files from Quicken?
Yes! QFX is essentially the exact same structure as OFX. This engine reads both seamlessly.
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