CFPB consumer complaints
CFPB consumer complaints: 18M records, 3.85M archived narratives. Search, counts, trends.
Should I use this
Quality & Safety
Findings (1)
- LOWTool 'get_complaint' description lacks action verbin get_complaint
Based on automated analysis of tool definitions and protocol compliance.
Context Cost
This is the approximate number of tokens consumed each time the server's tools are loaded into a model's context. Higher counts reduce the attention available for other tasks.
Install
One-Click Install
Add this to your `claude_desktop_config.json` file:
{
"mcpServers": {
"cfpb-complaints-analysis": {
"url": "https://cfpb-complaints-analysis.fly.dev/mcp"
}
}
}Remote endpoints
https://cfpb-complaints-analysis.fly.dev/mcpstreamable-httpWhat it can do
Tool inventory
Tools (10)
⚪dataset_info
What this dataset is: row counts, date ranges, narrative coverage, and the narrative freeze. Call first when unsure about coverage.
Input Schema
{
"type": "object",
"properties": {},
"title": "dataset_infoArguments"
}🟢list_values(field, search, product, limit)
List the values of a field with complaint counts, to find exact product/issue/response names. field is one of: product, sub_product, issue, sub_issue, company_response, company_public_response, submitted_via, state, timely_response. Optional search narrows by substring; product narrows issues to that product. Filters: company (exact name as in find_company), company_contains (substring), product, sub_product, issue, product: CFPB renamed credit reporting twice, so it appears under three product names (use list_values field=product), company_response (exact CFPB value, case-insensitive), submitted_via, state (2 letters), tag (e.g. 'Servicemember', 'Older American'), timely (true/false), date_from/date_to (YYYY-MM-DD or YYYY-MM, on date received).
Input Schema
{
"type": "object",
"properties": {
"field": {
"title": "Field",
"type": "string"
},
"search": {
"anyOf": [
{
"type": "string"
},
{
"type": "null"
}
],
"default": null,
"title": "Search"
},
"product": {
"anyOf": [
{
"type": "string"
},
{
"type": "null"
}
],
"default": null,
"title": "Product"
},
"limit": {
"default": 50,
"title": "Limit",
"type": "integer"
}
},
"required": [
"field"
],
"title": "list_valuesArguments"
}Output Schema
{
"type": "object",
"properties": {
"result": {
"items": {
"additionalProperties": true,
"type": "object"
},
"title": "Result",
"type": "array"
}
},
"required": [
"result"
],
"title": "list_valuesOutput"
}🟢find_company(name, limit)
Find companies by name. CFPB lists the same firm under variants and subsidiaries (e.g. 'EQUIFAX, INC.', 'Equifax Information Services LLC'), so this returns every matching name with complaint counts and first/last dates; pass the exact names you want to other tools via company, or use company_contains for all variants at once.
Input Schema
{
"type": "object",
"properties": {
"name": {
"title": "Name",
"type": "string"
},
"limit": {
"default": 25,
"title": "Limit",
"type": "integer"
}
},
"required": [
"name"
],
"title": "find_companyArguments"
}Output Schema
{
"type": "object",
"properties": {
"result": {
"items": {
"additionalProperties": true,
"type": "object"
},
"title": "Result",
"type": "array"
}
},
"required": [
"result"
],
"title": "find_companyOutput"
}🟢complaint_counts(group_by, company, company_contains, product, sub_product, ...)
Count complaints, optionally grouped. group_by is one or two of: year, quarter, month, product, sub_product, issue, sub_issue, company, state, company_response, company_public_response, submitted_via, timely_response. Returns complaints, timely_rate, monetary_relief_rate, nonmonetary_relief_rate, in_progress_rate per group (rates are fractions of that group's complaints). Counts are raw complaint counts, not adjusted for company size. In progress and Untimely response are CFPB response categories, not outcomes. Filters: company (exact name as in find_company), company_contains (substring), product, sub_product, issue, product: CFPB renamed credit reporting twice, so it appears under three product names (use list_values field=product), company_response (exact CFPB value, case-insensitive), submitted_via, state (2 letters), tag (e.g. 'Servicemember', 'Older American'), timely (true/false), date_from/date_to (YYYY-MM-DD or YYYY-MM, on date received).
Input Schema
{
"type": "object",
"properties": {
"group_by": {
"anyOf": [
{
"items": {
"type": "string"
},
"type": "array"
},
{
"type": "null"
}
],
"default": null,
"title": "Group By"
},
"company": {
"anyOf": [
{
"type": "string"
},
{
"type": "null"
}
],
"default": null,
"title": "Company"
},
"company_contains": {
"anyOf": [
{
"type": "string"
},
{
"type": "null"
}
],
"default": null,
"title": "Company Contains"
},
"product": {
"anyOf": [
{
"type": "string"
},
{
"type": "null"
}
],
"default": null,
"title": "Product"
},
"sub_product": {
"anyOf": [
{
"type": "string"
},
{
"type": "null"
}
],
"default": null,
"title": "Sub Product"
},
"issue": {
"anyOf": [
{
"type": "string"
},
{
"type": "null"
}
],
"default": null,
"title": "Issue"
},
"state": {
"anyOf": [
{
"type": "string"
},
{
"type": "null"
}
],
"default": null,
"title": "State"
},
"date_from": {
"anyOf": [
{
"type": "string"
},
{
"type": "null"
}
],
"default": null,
"title": "Date From"
},
"date_to": {
"anyOf": [
{
"type": "string"
},
{
"type": "null"
}
],
"default": null,
"title": "Date To"
},
"company_response": {
"anyOf": [
{
"type": "string"
},
{
"type": "null"
}
],
"default": null,
"title": "Company Response"
},
"timely": {
"anyOf": [
{
"type": "boolean"
},
{
"type": "null"
}
],
"default": null,
"title": "Timely"
},
"submitted_via": {
"anyOf": [
{
"type": "string"
},
{
"type": "null"
}
],
"default": null,
"title": "Submitted Via"
},
"tag": {
"anyOf": [
{
"type": "string"
},
{
"type": "null"
}
],
"default": null,
"title": "Tag"
},
"has_narrative": {
"anyOf": [
{
"type": "boolean"
},
{
"type": "null"
}
],
"default": null,
"title": "Has Narrative"
},
"order_by": {
"default": "complaints",
"title": "Order By",
"type": "string"
},
"limit": {
"default": 25,
"title": "Limit",
"type": "integer"
},
"offset": {
"default": 0,
"title": "Offset",
"type": "integer"
}
},
"title": "complaint_countsArguments"
}Output Schema
{
"type": "object",
"properties": {
"result": {
"items": {
"additionalProperties": true,
"type": "object"
},
"title": "Result",
"type": "array"
}
},
"required": [
"result"
],
"title": "complaint_countsOutput"
}🟡trend(period, company, company_contains, product, issue, ...)
Complaints over time (month, quarter or year), for one filter set. Set period to month, quarter or year. The latest period is partial. In progress and Untimely response are CFPB response categories, not outcomes. Filters: company (exact name as in find_company), company_contains (substring), product, sub_product, issue, product: CFPB renamed credit reporting twice, so it appears under three product names (use list_values field=product), company_response (exact CFPB value, case-insensitive), submitted_via, state (2 letters), tag (e.g. 'Servicemember', 'Older American'), timely (true/false), date_from/date_to (YYYY-MM-DD or YYYY-MM, on date received).
Input Schema
{
"type": "object",
"properties": {
"period": {
"default": "month",
"title": "Period",
"type": "string"
},
"company": {
"anyOf": [
{
"type": "string"
},
{
"type": "null"
}
],
"default": null,
"title": "Company"
},
"company_contains": {
"anyOf": [
{
"type": "string"
},
{
"type": "null"
}
],
"default": null,
"title": "Company Contains"
},
"product": {
"anyOf": [
{
"type": "string"
},
{
"type": "null"
}
],
"default": null,
"title": "Product"
},
"issue": {
"anyOf": [
{
"type": "string"
},
{
"type": "null"
}
],
"default": null,
"title": "Issue"
},
"state": {
"anyOf": [
{
"type": "string"
},
{
"type": "null"
}
],
"default": null,
"title": "State"
},
"date_from": {
"anyOf": [
{
"type": "string"
},
{
"type": "null"
}
],
"default": null,
"title": "Date From"
},
"date_to": {
"anyOf": [
{
"type": "string"
},
{
"type": "null"
}
],
"default": null,
"title": "Date To"
},
"company_response": {
"anyOf": [
{
"type": "string"
},
{
"type": "null"
}
],
"default": null,
"title": "Company Response"
},
"tag": {
"anyOf": [
{
"type": "string"
},
{
"type": "null"
}
],
"default": null,
"title": "Tag"
},
"submitted_via": {
"anyOf": [
{
"type": "string"
},
{
"type": "null"
}
],
"default": null,
"title": "Submitted Via"
}
},
"title": "trendArguments"
}Output Schema
{
"type": "object",
"properties": {
"result": {
"items": {
"additionalProperties": true,
"type": "object"
},
"title": "Result",
"type": "array"
}
},
"required": [
"result"
],
"title": "trendOutput"
}⚪company_profile(company, company_contains, date_from, date_to, product)
Profile of one company (or all name variants via company_contains): totals, first/last complaint, top products, issues, states, response outcomes, yearly counts. Counts are not adjusted for company size. Optional date_from/date_to/product.
Input Schema
{
"type": "object",
"properties": {
"company": {
"anyOf": [
{
"type": "string"
},
{
"type": "null"
}
],
"default": null,
"title": "Company"
},
"company_contains": {
"anyOf": [
{
"type": "string"
},
{
"type": "null"
}
],
"default": null,
"title": "Company Contains"
},
"date_from": {
"anyOf": [
{
"type": "string"
},
{
"type": "null"
}
],
"default": null,
"title": "Date From"
},
"date_to": {
"anyOf": [
{
"type": "string"
},
{
"type": "null"
}
],
"default": null,
"title": "Date To"
},
"product": {
"anyOf": [
{
"type": "string"
},
{
"type": "null"
}
],
"default": null,
"title": "Product"
}
},
"title": "company_profileArguments"
}⚪compare_companies(companies, product, issue, state, date_from, ...)
Side-by-side comparison of up to 6 companies on the same filters: complaints, timely_rate, relief rates, top product and top issue each. Each entry in companies is matched as a substring on the company name (all variants combined). Counts are not adjusted for company size.
Input Schema
{
"type": "object",
"properties": {
"companies": {
"items": {
"type": "string"
},
"title": "Companies",
"type": "array"
},
"product": {
"anyOf": [
{
"type": "string"
},
{
"type": "null"
}
],
"default": null,
"title": "Product"
},
"issue": {
"anyOf": [
{
"type": "string"
},
{
"type": "null"
}
],
"default": null,
"title": "Issue"
},
"state": {
"anyOf": [
{
"type": "string"
},
{
"type": "null"
}
],
"default": null,
"title": "State"
},
"date_from": {
"anyOf": [
{
"type": "string"
},
{
"type": "null"
}
],
"default": null,
"title": "Date From"
},
"date_to": {
"anyOf": [
{
"type": "string"
},
{
"type": "null"
}
],
"default": null,
"title": "Date To"
}
},
"required": [
"companies"
],
"title": "compare_companiesArguments"
}Output Schema
{
"type": "object",
"properties": {
"result": {
"items": {
"additionalProperties": true,
"type": "object"
},
"title": "Result",
"type": "array"
}
},
"required": [
"result"
],
"title": "compare_companiesOutput"
}🟢search_narratives(query, phrase, any_of, company, company_contains, ...)
Keyword search over archived complaint narratives (frozen at 2026-08-14; CFPB stopped publishing them in September 2026). query: words that must all appear (case-insensitive), or use phrase for an exact phrase, or any_of for alternatives. Returns a snippet per complaint plus its structured fields, newest first (date order, not relevance-ranked: every result contains all your words); use get_complaint for the full text. Searches scan text, so narrow with date_from/date_to, company/company_contains, product or state when you can: an unfiltered search over all years can time out. Filters: company, company_contains, product, state (2 letters), date_from/date_to (YYYY-MM-DD or YYYY-MM), plus issue, sub_product, company_response, timely, tag (these are slower).
Input Schema
{
"type": "object",
"properties": {
"query": {
"anyOf": [
{
"type": "string"
},
{
"type": "null"
}
],
"default": null,
"title": "Query"
},
"phrase": {
"anyOf": [
{
"type": "string"
},
{
"type": "null"
}
],
"default": null,
"title": "Phrase"
},
"any_of": {
"anyOf": [
{
"items": {
"type": "string"
},
"type": "array"
},
{
"type": "null"
}
],
"default": null,
"title": "Any Of"
},
"company": {
"anyOf": [
{
"type": "string"
},
{
"type": "null"
}
],
"default": null,
"title": "Company"
},
"company_contains": {
"anyOf": [
{
"type": "string"
},
{
"type": "null"
}
],
"default": null,
"title": "Company Contains"
},
"product": {
"anyOf": [
{
"type": "string"
},
{
"type": "null"
}
],
"default": null,
"title": "Product"
},
"sub_product": {
"anyOf": [
{
"type": "string"
},
{
"type": "null"
}
],
"default": null,
"title": "Sub Product"
},
"issue": {
"anyOf": [
{
"type": "string"
},
{
"type": "null"
}
],
"default": null,
"title": "Issue"
},
"state": {
"anyOf": [
{
"type": "string"
},
{
"type": "null"
}
],
"default": null,
"title": "State"
},
"date_from": {
"anyOf": [
{
"type": "string"
},
{
"type": "null"
}
],
"default": null,
"title": "Date From"
},
"date_to": {
"anyOf": [
{
"type": "string"
},
{
"type": "null"
}
],
"default": null,
"title": "Date To"
},
"company_response": {
"anyOf": [
{
"type": "string"
},
{
"type": "null"
}
],
"default": null,
"title": "Company Response"
},
"timely": {
"anyOf": [
{
"type": "boolean"
},
{
"type": "null"
}
],
"default": null,
"title": "Timely"
},
"tag": {
"anyOf": [
{
"type": "string"
},
{
"type": "null"
}
],
"default": null,
"title": "Tag"
},
"limit": {
"default": 10,
"title": "Limit",
"type": "integer"
},
"offset": {
"default": 0,
"title": "Offset",
"type": "integer"
}
},
"title": "search_narrativesArguments"
}Output Schema
{
"type": "object",
"properties": {
"result": {
"items": {
"additionalProperties": true,
"type": "object"
},
"title": "Result",
"type": "array"
}
},
"required": [
"result"
],
"title": "search_narrativesOutput"
}🟢count_narratives(query, phrase, any_of, group_by, company, ...)
Count how many archived narratives match a keyword search, optionally grouped by year, month, product, company, issue or state. Same search and filter arguments as search_narratives (without the slower issue/response filters). Use this for 'how many complaints mention X'. Counts only complaints that have a narrative (through 2026-08-14), not all complaints. Narrow with date, company or product when you can.
Input Schema
{
"type": "object",
"properties": {
"query": {
"anyOf": [
{
"type": "string"
},
{
"type": "null"
}
],
"default": null,
"title": "Query"
},
"phrase": {
"anyOf": [
{
"type": "string"
},
{
"type": "null"
}
],
"default": null,
"title": "Phrase"
},
"any_of": {
"anyOf": [
{
"items": {
"type": "string"
},
"type": "array"
},
{
"type": "null"
}
],
"default": null,
"title": "Any Of"
},
"group_by": {
"anyOf": [
{
"type": "string"
},
{
"type": "null"
}
],
"default": null,
"title": "Group By"
},
"company": {
"anyOf": [
{
"type": "string"
},
{
"type": "null"
}
],
"default": null,
"title": "Company"
},
"company_contains": {
"anyOf": [
{
"type": "string"
},
{
"type": "null"
}
],
"default": null,
"title": "Company Contains"
},
"product": {
"anyOf": [
{
"type": "string"
},
{
"type": "null"
}
],
"default": null,
"title": "Product"
},
"state": {
"anyOf": [
{
"type": "string"
},
{
"type": "null"
}
],
"default": null,
"title": "State"
},
"date_from": {
"anyOf": [
{
"type": "string"
},
{
"type": "null"
}
],
"default": null,
"title": "Date From"
},
"date_to": {
"anyOf": [
{
"type": "string"
},
{
"type": "null"
}
],
"default": null,
"title": "Date To"
},
"limit": {
"default": 25,
"title": "Limit",
"type": "integer"
}
},
"title": "count_narrativesArguments"
}Output Schema
{
"type": "object",
"properties": {
"result": {
"items": {
"additionalProperties": true,
"type": "object"
},
"title": "Result",
"type": "array"
}
},
"required": [
"result"
],
"title": "count_narrativesOutput"
}🟢get_complaint(complaint_id)
One complaint by its CFPB Complaint ID: all structured fields and, when archived, the full narrative.
Input Schema
{
"type": "object",
"properties": {
"complaint_id": {
"title": "Complaint Id",
"type": "integer"
}
},
"required": [
"complaint_id"
],
"title": "get_complaintArguments"
}Community
Evidence