RemittanceAdviceGen
Enables generation of realistic remittance advice PDFs for testing purposes with configurable templates and comprehensive payment details.
README
Business Automation MCP Servers
Multi-tool MCP server repository for business automation using FastMCP and Python.
Overview
This repository contains multiple MCP servers for business process automation:
1. RemittanceAdviceGen Server
Generates realistic remittance advice PDFs for testing purposes with configurable templates and comprehensive payment details.
Features:
- Generate single or batch remittance PDFs
- Realistic test data with suppliers, invoices, and payments
- Support for payment adjustments (surcharges, credits, discounts, fees)
- Configurable invoice line items
- Multiple page sizes (Letter, A4)
- Professional PDF formatting
2. APPaymentAnalyser Server (Coming Soon)
Tools for analyzing accounts payable payments, GL posting status, and payment analytics.
Installation
# Clone repository
git clone <repo-url>
cd CustomMCPServer
# Create virtual environment
python -m venv venv
source venv/bin/activate # On Windows: venv\Scripts\activate
# Install dependencies
pip install -e ".[dev]"
Usage
Running RemittanceAdviceGen Server
# STDIO mode (for Claude Desktop integration)
python -m src.remittance_server.server
# HTTP mode (for network access)
fastmcp run src/remittance_server/server.py --transport http --port 8000
Available Tools
generate_remittance_pdf
Generate a single remittance advice PDF with realistic test data.
{
"invoice_count": 3,
"include_line_items": true,
"page_size": "LETTER",
"include_adjustments": true
}
batch_generate_pdfs
Generate multiple remittance PDFs in batch.
{
"count": 10,
"invoices_per_remittance": 3,
"include_line_items": true
}
list_templates
List available remittance templates.
get_server_info
Get server information and statistics.
Configuration
Create a .env file in the project root:
DEBUG=false
SERVER_PORT=8000
DEFAULT_PAGE_SIZE=LETTER
DEFAULT_TEMPLATE=standard
INCLUDE_LINE_ITEMS=true
Project Structure
CustomMCPServer/
├── src/
│ ├── common/ # Shared utilities
│ │ ├── models.py # Pydantic models
│ │ ├── database.py # Database utilities
│ │ ├── config.py # Configuration
│ │ └── test_data.py # Test data generation
│ ├── remittance_server/ # Remittance advice server
│ │ ├── server.py # FastMCP server
│ │ └── pdf_generator.py # PDF generation engine
│ └── payment_analyser/ # Payment analyser server (coming soon)
├── tests/ # Test suite
├── templates/ # PDF templates
├── output/ # Generated PDFs
├── data/ # Database files
├── pyproject.toml # Dependencies
└── README.md
Testing
# Run all tests
pytest
# Run with coverage
pytest --cov=src
# Run specific test file
pytest tests/test_remittance_server.py
Claude Desktop Integration
Add to your Claude Desktop config:
{
"mcpServers": {
"remittance-advice": {
"command": "python",
"args": ["-m", "src.remittance_server.server"],
"cwd": "/path/to/CustomMCPServer"
}
}
}
Development
Adding New Servers
- Create new directory under
src/ - Implement FastMCP server with tools
- Use shared models from
src/common/ - Add tests in
tests/ - Update documentation
Data Models
All servers share common Pydantic models in src/common/models.py:
- PaymentDetail: Payment information with adjustments
- Invoice: Invoice details with line items
- Supplier: Vendor information
- Company: Paying company information
- RemittanceAdvice: Complete remittance document
License
MIT License - See LICENSE file for details.
推荐服务器
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。
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。
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。
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。
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。
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。
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。
e2b-mcp-server
使用 MCP 通过 e2b 运行代码。
Neon MCP Server
用于与 Neon 管理 API 和数据库交互的 MCP 服务器
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。