# Consumer Financial Protection Bureau Complaints

> Use this tool when you need to access and analyze consumer complaints about banking and financial services, particularly for researching mortgage complaints against specific institutions like PNC Bank. It solves problems related to financial research, consumer advocacy, and understanding customer issue patterns by providing a searchable database with query options by company, product type, and result size. This tool takes in query parameters and returns structured complaint data, making it ideal for use cases requiring insights into financial institution performance and customer satisfaction.

Canonical page: https://skillsregistry.net/skills/ingeniousidiocy-consumer-complaints  
JSON: https://api.skillsregistry.net/v1/skills/ingeniousidiocy-consumer-complaints

## Description

Consumer Complaint Database MCP Server provides access to the Consumer Financial Protection Bureau's complaint database, allowing AI assistants to search and retrieve banking and financial service complaints. The implementation focuses on mortgage complaints from specific financial institutions like PNC Bank, enabling users to query by company, product type, and limit result size. Built with Python using httpx for API communication and the MCP framework, it transforms raw complaint data into structured objects with proper date handling. This tool is particularly valuable for financial research, consumer advocacy, and understanding patterns in customer issues with financial institutions.

## Trust

- **Trust score (0–1):** 0.97
- **Verification tier:** verified
- **Last scanned:** 2026-09-28

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** database
- **Updated:** 2026-09-28

## Source

- **Source listing:** [PulseMCP](https://www.pulsemcp.com/servers/ingeniousidiocy-consumer-complaints)
- **Repository:** <https://github.com/ingeniousidiocy/consumer-complaint-database-mcp>

## Use it

Resolve this record through the SkillsRegistry MCP server (no auth, read-only):

```
claude mcp add --transport http --scope user skillsregistry https://api.skillsregistry.net/mcp
```

```json
{
  "jsonrpc": "2.0",
  "id": 1,
  "method": "tools/call",
  "params": {
    "name": "get_skill",
    "arguments": {
      "slug": "ingeniousidiocy-consumer-complaints"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/ingeniousidiocy-consumer-complaints` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/ingeniousidiocy-consumer-complaints/pull`

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SkillsRegistry indexes agent skills from public registries and GitHub. Skills we have analysed are scanned with Circle-IR and scored on six dimensions; each listing states its scan coverage. More: https://skillsregistry.net/llms.txt