# Consumer Complaint Database MCP

> Use this tool when you need to retrieve financial consumer complaint records through natural language queries, solving problems related to consumer complaint research and analysis. It takes in natural language inputs and outputs relevant complaint records from the CFPB Consumer Complaint Database via the CFPB API. Ideal for use cases requiring easy access to consumer complaint data, such as research, compliance, or customer service applications.

Canonical page: https://skillsregistry.net/skills/ingeniousidiocy-consumer-complaint-database-mcp  
JSON: https://api.skillsregistry.net/v1/skills/ingeniousidiocy-consumer-complaint-database-mcp

## Description

A local MCP server that enables users to query the CFPB Consumer Complaint Database through natural language, retrieving financial consumer complaint records via the CFPB API.

## Trust

- **Trust score (0–1):** 1.00
- **Verification tier:** verified
- **Last scanned:** 2026-09-19

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** database
- **Updated:** 2026-09-19

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/b3exshvnok)
- **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-complaint-database-mcp"
    }
  }
}
```

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