BankRegPulse

BankRegPulse

BankRegPulse MCP Server connects AI assistants to live banking regulatory data from 100+ sources including OCC, FDIC, CFPB, Federal Reserve, and all 50 state banking departments. Three tools: daily intelligence briefings, regulatory podcast audio, and pre-formatted LinkedIn posts — all updated daily at 6 AM EST.

Category
访问服务器

README

BankRegPulse MCP Server

Real-time banking regulatory intelligence for AI assistants

npm version License: MIT Node Version MCP

Connect your AI assistant (Claude, ChatGPT, etc.) to live banking regulatory data from 100+ sources including OCC, FDIC, CFPB, Federal Reserve, and all 50 state banking departments.

What is This?

BankRegPulse MCP Server is a Model Context Protocol server that lets AI assistants query our regulatory intelligence database in real-time.

Instead of manually searching for regulatory updates, just ask your AI:

  • "What's in today's banking regulatory briefing?"
  • "Play today's regulatory podcast"
  • "Draft a LinkedIn post about today's CFPB updates"

Your AI will pull fresh data from BankRegPulse and answer with context.


Features

🎯 Three Core Tools

Tool Description Example Use
get_daily_briefing Daily regulatory intelligence summary "What did the OCC publish today?"
get_daily_podcast Audio briefing URL "Get today's regulatory podcast"
get_linkedin_post Pre-formatted social content "Draft a LinkedIn post about today's news"

📊 Data Coverage

  • Federal Agencies: OCC, FDIC, CFPB, Federal Reserve, Treasury
  • State Banking Departments: All 50 states
  • Congress: House Financial Services, Senate Banking
  • Federal Register: Final rules, proposed rules, notices
  • News: Reuters, American Banker, PYMNTS, Banking Dive
  • Update Frequency: Real-time (monitored 24/7)

Installation

Prerequisites

  • Node.js 18 or higher
  • An MCP-compatible AI assistant (Claude Desktop, Continue.dev, etc.)

Option 1: NPM (Recommended)

npx bankregpulse-mcp-server

Option 2: From Source

git clone https://github.com/RRGU26/bankregpulse-mcp-server.git
cd bankregpulse-mcp-server
npm install
npm run build

Setup for Claude Desktop

  1. Locate Claude Desktop config:

    • macOS: ~/Library/Application Support/Claude/claude_desktop_config.json
    • Windows: %APPDATA%\Claude\claude_desktop_config.json
  2. Add BankRegPulse MCP server:

{
  "mcpServers": {
    "bankregpulse": {
      "command": "npx",
      "args": ["bankregpulse-mcp-server"]
    }
  }
}
  1. Restart Claude Desktop

  2. Test it:

    • Open Claude Desktop
    • Ask: "What's in today's banking regulatory briefing?"
    • Claude will query the MCP server and return live data

Setup for Other AI Assistants

Continue.dev (VS Code)

Add to ~/.continue/config.json:

{
  "experimental": {
    "modelContextProtocolServers": [
      {
        "transport": {
          "type": "stdio",
          "command": "npx",
          "args": ["bankregpulse-mcp-server"]
        }
      }
    ]
  }
}

Custom Integration

Any MCP-compatible client can connect via stdio:

import { Client } from '@modelcontextprotocol/sdk/client/index.js';
import { StdioClientTransport } from '@modelcontextprotocol/sdk/client/stdio.js';

const transport = new StdioClientTransport({
  command: 'npx',
  args: ['bankregpulse-mcp-server']
});

const client = new Client({
  name: 'my-client',
  version: '1.0.0'
}, {
  capabilities: {}
});

await client.connect(transport);

HTTP/SSE Mode

Run the MCP server as an HTTP endpoint instead of stdio:

# Set environment variable
export MCP_TRANSPORT=http
export PORT=3000  # optional, defaults to 3000

# Run server
npx bankregpulse-mcp-server

Endpoints:

  • GET /health - Health check
  • GET /sse - SSE endpoint for MCP connections

Connect via HTTP:

import { Client } from '@modelcontextprotocol/sdk/client/index.js';
import { SSEClientTransport } from '@modelcontextprotocol/sdk/client/sse.js';

const transport = new SSEClientTransport(
  new URL('http://localhost:3000/sse')
);

const client = new Client({
  name: 'my-client',
  version: '1.0.0'
}, {
  capabilities: {}
});

await client.connect(transport);

Test with curl:

# Health check
curl http://localhost:3000/health

# SSE connection (requires MCP client)
curl -N http://localhost:3000/sse

Usage Examples

Daily Briefing

Ask Claude:

"What's in today's banking regulatory briefing?"

Claude queries:

Tool: get_daily_briefing
Date: today

You receive:

  • Executive summary of key developments
  • Document count and high-priority items
  • Agency-by-agency breakdown

Podcast

Ask Claude:

"Get me today's regulatory podcast"

Claude queries:

Tool: get_daily_podcast
Date: today

You receive:

  • Audio URL for the daily briefing podcast
  • Generated by AI from the day's regulatory developments

LinkedIn Post

Ask Claude:

"Draft a LinkedIn post about today's CFPB enforcement actions"

Claude queries:

Tool: get_linkedin_post
Date: today

You receive:

  • Pre-formatted LinkedIn post with hashtags
  • Key stats and highlights
  • Ready to copy and share

Advanced Usage

Query Specific Dates

"What was in the regulatory briefing on February 20, 2024?"

Claude will pass date: "2024-02-20" to the tool.

Custom API Endpoint

Set environment variable to use a different API:

export BANKREGPULSE_API_URL=https://your-custom-api.com

Troubleshooting

"No briefing found"

Cause: Briefing hasn't been generated yet (runs at 6 AM EST daily)

Solution: Query yesterday's briefing or wait until morning

"API request failed"

Cause: Network issue or API is down

Solution:

  1. Check https://bankregpulse-enterprise-api.onrender.com/health
  2. Verify internet connection
  3. Check Render status: https://status.render.com

"Unknown tool"

Cause: MCP server not properly installed or outdated

Solution:

npm cache clean --force
npx bankregpulse-mcp-server@latest

Development

Local Development

# Clone repo
git clone https://github.com/RRGU26/bankregpulse-mcp-server.git
cd bankregpulse-mcp-server

# Install dependencies
npm install

# Build
npm run build

# Run locally
npm start

Testing with MCP Inspector

npx @modelcontextprotocol/inspector npx bankregpulse-mcp-server

Opens a web UI to test tool calls.


Architecture

┌─────────────────┐
│  AI Assistant   │ (Claude, ChatGPT, etc.)
│  (MCP Client)   │
└────────┬────────┘
         │ stdio
         │
┌────────▼────────┐
│  BankRegPulse   │
│   MCP Server    │ (this package)
└────────┬────────┘
         │ HTTPS
         │
┌────────▼────────┐
│  BankRegPulse   │
│      API        │ (bankregpulse-enterprise-api.onrender.com)
└────────┬────────┘
         │
┌────────▼────────┐
│   PostgreSQL    │
│   Database      │ (100+ regulatory sources)
└─────────────────┘

API Endpoints (Backend)

The MCP server calls these public API endpoints:

  • GET /api/mcp/briefing?date=YYYY-MM-DD - Daily briefing
  • GET /api/mcp/podcast?date=YYYY-MM-DD - Podcast URL
  • GET /api/mcp/linkedin-post?date=YYYY-MM-DD - LinkedIn post

No authentication required for basic usage.


Pricing

Free for community use.

No API key required. Rate limits apply:

  • 100 requests per hour per IP
  • Fair use policy

For enterprise usage (higher limits, SLA), contact: admin@bankregpulse.com


Support

  • Website: https://bankregpulse.com
  • Documentation: https://docs.bankregpulse.com
  • Issues: https://github.com/RRGU26/bankregpulse-mcp-server/issues
  • Email: admin@bankregpulse.com

Contributing

Contributions welcome! Please:

  1. Fork the repo
  2. Create a feature branch
  3. Submit a pull request

License

MIT License - see LICENSE for details.


Acknowledgments

  • Built on Model Context Protocol by Anthropic
  • Powered by BankRegPulse regulatory intelligence platform
  • Regulatory data from OCC, FDIC, CFPB, Federal Reserve, and state banking departments

Related Projects


Made with ❤️ for the banking compliance community

推荐服务器

Baidu Map

Baidu Map

百度地图核心API现已全面兼容MCP协议,是国内首家兼容MCP协议的地图服务商。

官方
精选
JavaScript
Playwright MCP Server

Playwright MCP Server

一个模型上下文协议服务器,它使大型语言模型能够通过结构化的可访问性快照与网页进行交互,而无需视觉模型或屏幕截图。

官方
精选
TypeScript
Magic Component Platform (MCP)

Magic Component Platform (MCP)

一个由人工智能驱动的工具,可以从自然语言描述生成现代化的用户界面组件,并与流行的集成开发环境(IDE)集成,从而简化用户界面开发流程。

官方
精选
本地
TypeScript
Audiense Insights MCP Server

Audiense Insights MCP Server

通过模型上下文协议启用与 Audiense Insights 账户的交互,从而促进营销洞察和受众数据的提取和分析,包括人口统计信息、行为和影响者互动。

官方
精选
本地
TypeScript
VeyraX

VeyraX

一个单一的 MCP 工具,连接你所有喜爱的工具:Gmail、日历以及其他 40 多个工具。

官方
精选
本地
graphlit-mcp-server

graphlit-mcp-server

模型上下文协议 (MCP) 服务器实现了 MCP 客户端与 Graphlit 服务之间的集成。 除了网络爬取之外,还可以将任何内容(从 Slack 到 Gmail 再到播客订阅源)导入到 Graphlit 项目中,然后从 MCP 客户端检索相关内容。

官方
精选
TypeScript
Kagi MCP Server

Kagi MCP Server

一个 MCP 服务器,集成了 Kagi 搜索功能和 Claude AI,使 Claude 能够在回答需要最新信息的问题时执行实时网络搜索。

官方
精选
Python
e2b-mcp-server

e2b-mcp-server

使用 MCP 通过 e2b 运行代码。

官方
精选
Neon MCP Server

Neon MCP Server

用于与 Neon 管理 API 和数据库交互的 MCP 服务器

官方
精选
Exa MCP Server

Exa MCP Server

模型上下文协议(MCP)服务器允许像 Claude 这样的 AI 助手使用 Exa AI 搜索 API 进行网络搜索。这种设置允许 AI 模型以安全和受控的方式获取实时的网络信息。

官方
精选