get_demographicsLABSCO SUMMARY
Every endpoint but one, and it says which.
All FDIC BankFind endpoints are implemented except /financials, whose schema is large enough to break code generation — that is stated up front rather than discovered when a call fails. The shared parameter set is what makes the tools usable in practice: the same filter, field-selection and paging arguments work everywhere, so one query pattern carries across institutions, locations and failures.
What it is
A Rust MCP server over the FDIC BankFind APIs, shipped as a public container image. It brings structured US banking data — every insured institution, its branches, its history, and the failure record — into an assistant without an API integration project.
What you get
- Institution demographics with a free-text search parameter, and branch locations —
get_institutions,get_locations - The historical bank failure record, with aggregation parameters for grouping and summing —
get_failures - Structure change events over time, searchable and aggregatable —
get_history - Summary of Deposits data and historical aggregates by year —
get_sod,get_summary - Demographic summaries —
get_demographics - Shared parameters on every call:
filtersin FDIC BankFind syntax,fieldsto choose columns,limitandoffsetfor paging,sort_byandsort_order, andfile_formatfor json, csv or xml
Requirements
Docker, running. The FDIC API key is optional — pass it as api_key if you have one. Run docker run -i --rm ghcr.io/clafollett/fdic-bank-find-mcp-server:main; the -i flag is required for stdio. Building from source instead needs the Rust toolchain and cargo build --release.
Setup effort
One command — docker run -i --rm ghcr.io/clafollett/fdic-bank-find-mcp-server:main
USE CASES
01
Profiling a bank you are about to deal with
Search institutions by name, then read its branch locations and its structure-change history.
02
Studying bank failures
Query the failure record with aggregation parameters to group and sum by the dimensions you care about.
03
Comparing deposit footprints in a market
Pull Summary of Deposits data with filters and aggregation, then set it against yearly historical aggregates.
04
Building a dataset for analysis
Select just the fields you need, page through with limit and offset, and take the response as CSV.
7 tools
Listed in project docs. Your client may show a different list.
get_failuresget_historyget_institutionsget_locationsget_sodget_summaryBEFORE YOU INSTALL
What to know first
Tools you get
7 tools named in the project's documentation.
Requires
docker on PATH
Where it runs
Both documented clients run the server on your machine.
INSTALLATION
Connect your client
Server setup
TERMINAL
docker run -i --rm ghcr.io/clafollett/fdic-bank-find-mcp-server:mainMCP Clients
VS Code
VS CODE · JSON
{
"servers": {
"fdic": {
"command": "docker",
"args": [
"run",
"-i",
"--rm",
"ghcr.io/clafollett/fdic-bank-find-mcp-server:main"
]
}
}
}Claude Desktop
CLAUDE DESKTOP · JSON
{
"mcpServers": {
"fdic-bank-find": {
"command": "docker",
"args": [
"run",
"-i",
"--rm",
"ghcr.io/clafollett/fdic-bank-find-mcp-server:main"
]
}
}
}
