How to Use the CFPB Complaints MCP in Cursor

Q: How do I configure the CFPB Complaints MCP Server in Cursor?

Create an mcp.json file in your .cursor directory at the project root. Add your Vinkius endpoint URL under the mcpServers object. Turn on Agent mode in your chat panel to start querying the database.

Use the CFPB Complaints MCP Server in Cursor to inject live consumer dispute data directly into your compliance analysis code.

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Connect CFPB Complaints MCP to Cursor

Create your Vinkius account to connect CFPB Complaints to Cursor and route execution through our secure gateway. The platform manages server hosting, runtime updates, and security layers. Configuration requires no manual server provisioning.

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Setup CFPB Complaints with Cursor

Ask AI about this MCP

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Claude

Perplexity

Build fintech tools with live data

Writing compliance code requires real-world consumer dispute test cases. When you ask Cursor to build a dashboard, this MCP integration fires `search_complaints` to pull actual records from a 13.8 million-row database. Your AI client writes the parsing logic based on the live JSON structure it gets back, eliminating guesswork. You never have to mock up fake banking disputes again. The `get_recent_complaints` tool feeds fresh, real-world examples straight into your editor. Cursor uses these recent records to validate that your data visualization components render correctly with messy text.

Fetch company-specific MCP Server records

Investigating a specific financial institution is straightforward when your editor can query the database directly. Running `get_company_complaints` pulls every logged issue for a target bank, including states, dates, and responses. Cursor then drafts the Python scripts needed to aggregate those specific records. You can narrow the focus further if you only care about specific banking products. Calling `get_complaints_by_product` isolates credit card or student loan issues. Your agent takes those results and immediately writes the SQL schema required to store that exact shape of data.

Analyze consumer narratives in code

Text analysis scripts need massive amounts of varied input to function correctly. Through the MCP protocol, the `get_complaints_with_narrative` tool grabs full, detailed descriptions written by angry consumers. Cursor feeds these raw paragraphs into your local NLP models or sentiment analysis functions as you build them. Sometimes you need to trace a single complex issue from start to finish. Passing a specific ID to `get_complaint` retrieves the entire timeline of a dispute. The AI client reads the company response field and helps you write logic to categorize how different banks handle resolutions.

Setup guide

Set up CFPB Complaints MCP in Cursor

Prerequisites

Cursor installed (macOS, Windows, or Linux)
Active Vinkius subscription with a valid endpoint token

1

Open MCP Settings

Go to Cursor Settings → MCP or open the Command Palette (Cmd+Shift+P / Ctrl+Shift+P) and search for "MCP: Add Server".
2

Add the CFPB Complaints MCP

Cursor will create or open .cursor/mcp.json in your project root. Paste the JSON snippet on the right. Replace [YOUR_TOKEN_HERE] with your endpoint token from cloud.vinkius.com.
3

Enable Agent mode

Open Composer (Cmd+I / Ctrl+I) and switch to Agent mode using the dropdown at the top. MCP tools are only available in Agent mode.
4

Verify the connection

Ask Cursor something like "List my recent CFPB Complaints transactions." If the MCP tools are loaded correctly, Cursor will call the CFPB Complaints tools automatically. You can also check Settings → MCP for a green status indicator.

.cursor/mcp.json

{
  "mcpServers": {
    "cfpb-complaints-mcp": {
      "url": "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
    }
  }
}

Get your connection token →

Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by CFPB Consumer Complaint Database. All third-party trademarks, logos, and brand names are the property of their respective owners. Their use on this website is strictly for informational purposes to identify service compatibility and interoperability.

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Common questions about CFPB Complaints MCP in Cursor

Create an `mcp.json` file in your `.cursor` directory at the project root. Add your Vinkius endpoint URL under the `mcpServers` object. Turn on Agent mode in your chat panel to start querying the database.

Yes, the agent can pull live data to build your test suite. It runs `get_complaints_stats` to get real counts, then writes assertions based on those actual numbers.

Hardcoding mock data wastes time and rarely matches production edge cases. Pulling real consumer financial disputes directly into your editor ensures your code handles the actual data structures you will face in production.

Yes, your agent can fetch data and inject it into Python, Node, or Go scripts you are writing locally. The tools operate independently of your project's programming language.

We route your editor's requests through a zero-trust V8 Isolate environment. When Cursor asks for consumer narratives or company responses, the connection is strictly authenticated via your single endpoint token. No financial grievance records are cached on our infrastructure.

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