FDIC BankFind MCP Server

What does “FDIC BankFind” MCP Server do?

The FDIC BankFind MCP Server is a Model Context Protocol (MCP) server that wraps the FDIC BankFind API, making structured U.S. banking data accessible to AI assistants and developer workflows. By exposing FDIC BankFind’s capabilities through the MCP interface, this server empowers AI tools to search, retrieve, and interact with official bank data from the Federal Deposit Insurance Corporation (FDIC). Developers can leverage this server for tasks such as querying bank information, integrating regulatory data into applications, or enabling agents to reference up-to-date banking records. The FDIC BankFind MCP Server is designed to streamline access to authoritative U.S. banking data for a wide range of AI and automation use cases.

List of Prompts

No prompt templates were found in the repository.

List of Resources

No specific resources were documented in the repository.

List of Tools

No explicit tools were enumerated or described in a server.py or similar manifest file in the repository.

Use Cases of this MCP Server

• Bank Information Lookup: Quickly retrieve detailed information about U.S. banks for regulatory, compliance, or customer service use cases.
• Regulatory Reporting: Integrate FDIC data into compliance workflows for up-to-date and authoritative banking information.
• Financial Analysis: Support financial analysis and market research by providing AI agents with direct access to official bank data.
• Automated Customer Support: Enhance chatbots or virtual assistants to answer user queries about banks, such as branch locations or status.
• Application Integration: Embed FDIC bank data capabilities into web and mobile applications for financial services.

How to set it up

Windsurf

1. Ensure you have Node.js installed.
2. Open your Windsurf configuration file.
3. Add the FDIC BankFind MCP Server to your mcpServers object:

   {
     "mcpServers": {
       "fdic-bankfind": {
         "command": "npx",
         "args": ["@fdic-bankfind/mcp-server@latest"]
       }
     }
   }
   

4. Save your changes and restart Windsurf.
5. Verify the server is running in your Windsurf dashboard.

Claude

1. Install Node.js if not already present.
2. Locate Claude’s configuration file.
3. Add the FDIC BankFind MCP Server:

   {
     "mcpServers": {
       "fdic-bankfind": {
         "command": "npx",
         "args": ["@fdic-bankfind/mcp-server@latest"]
       }
     }
   }
   

4. Save and restart Claude.
5. Confirm the MCP server is connected.

Cursor

1. Make sure Node.js is installed.
2. Edit Cursor’s configuration file.
3. Insert the server configuration:

   {
     "mcpServers": {
       "fdic-bankfind": {
         "command": "npx",
         "args": ["@fdic-bankfind/mcp-server@latest"]
       }
     }
   }
   

4. Save and restart Cursor.
5. Check that the FDIC BankFind MCP Server is available.

Cline

1. Verify Node.js is present on your system.
2. Open Cline’s configuration file.
3. Add the following to your MCP servers:

   {
     "mcpServers": {
       "fdic-bankfind": {
         "command": "npx",
         "args": ["@fdic-bankfind/mcp-server@latest"]
       }
     }
   }
   

4. Save changes and restart Cline.
5. Ensure successful startup by checking the logs.

Securing API Keys

If the server requires API keys, store them as environment variables. Example:

{
  "mcpServers": {
    "fdic-bankfind": {
      "command": "npx",
      "args": ["@fdic-bankfind/mcp-server@latest"],
      "env": {
        "FDIC_API_KEY": "${FDIC_API_KEY}"
      },
      "inputs": {
        "apiKey": "${FDIC_API_KEY}"
      }
    }
  }
}

How to use this MCP inside flows

Using MCP in FlowHunt

To integrate MCP servers into your FlowHunt workflow, start by adding the MCP component to your flow and connecting it to your AI agent:

Click on the MCP component to open the configuration panel. In the system MCP configuration section, insert your MCP server details using this JSON format:

{
  "fdic-bankfind": {
    "transport": "streamable_http",
    "url": "https://yourmcpserver.example/pathtothemcp/url"
  }
}

Once configured, the AI agent is now able to use this MCP as a tool with access to all its functions and capabilities. Remember to change “fdic-bankfind” to whatever the actual name of your MCP server is and replace the URL with your own MCP server URL.

Overview

Our opinion

This MCP server offers a targeted integration of FDIC BankFind data for AI and workflow automation, but lacks documentation for prompts, resources, and tools. Setup and licensing are clear, but practical integration details are sparse. Overall, it is functional for basic data access but would benefit from further documentation and examples.

MCP Score

Score: 4/10 — The project is functional and licensed, but lacks documentation and detail on MCP resources, prompts, and tool integrations, limiting its practical utility in advanced workflows.