Lumenx MCP
LumenX-MCP is an open-source enterprise-level intelligent server for legal expenditure. It provides queryable legal and financial data analysis by unifying multi-source data (such as e-billing platforms and ERP systems), and supports AI agents and extended functions.
rating : 2.5 points
downloads : 5.2K
What is LumenX-MCP?
LumenX-MCP is an open-source enterprise-level server used to integrate legal and financial data from various sources. It provides an intelligent data access point through the Model Context Protocol (MCP) for easy use by AI agents and analysis platforms.How to Use LumenX-MCP?
Users can quickly deploy it via Docker or install it from the source code. After configuring the environment variables, start the server to connect to multiple data sources, such as LegalTracker, SAP, databases, and local files.Use Cases
Suitable for enterprises that need to unify legal expenditure data, conduct cost analysis, budget comparison, and supplier performance evaluation. It is suitable for legal departments, finance teams, and data analysts.Main Features
Unified Data Access
Supports data retrieval from multiple sources (such as LegalTracker, SAP, databases, and CSV files) for centralized management.
Comprehensive Analysis
Provides functions such as expenditure summaries, supplier performance analysis, and budget comparison to help users gain in-depth insights into expenditure.
Scalability
The modular architecture allows for easy addition of new data source connectors to meet changing needs.
AI-Ready
Provides interfaces for AI agents and large language models to support future technology integration.
High Performance
The asynchronous architecture ensures fast and efficient data retrieval, enhancing the user experience.
Enterprise-Level Deployment
Supports Docker containerized deployment to ensure stability and maintainability.
Advantages
Supports multiple data sources to improve data integration efficiency.
Provides powerful analysis tools for easy decision-making.
Easy to expand and customize to meet different business needs.
Supports AI integration to enhance the level of intelligence.
High-performance architecture ensures data processing speed.
Limitations
Initial configuration may be challenging for non-technical users.
Some functions rely on external APIs and may be affected by third-party services.
Requires a certain technical background for deployment and maintenance.
Currently only supports specific ERP systems and databases.
How to Use
Install Dependencies
Ensure that Python 3.10 or a higher version is installed, and install Docker (recommended).
Clone the Project
Clone the LumenX-MCP repository from GitHub to your local machine.
Create an Environment File
Copy and modify the .env.template file to enable the required data sources.
Build and Run the Container
Build the Docker image and start the container using Docker.
Start the Server
Run the server script to start the service.
Usage Examples
Legal Expenditure Summary
Users want to view all legal expenditure in the past month for budget review.
Supplier Performance Analysis
Users want to know which supplier provided the most legal services in the past year.
Budget vs. Actual Comparison
Users want to compare the difference between actual expenditure and the budget to adjust the budget for the next year.
Frequently Asked Questions
Does LumenX-MCP support non-English data sources?
How to handle data source connection failures?
Can LumenX-MCP be run without Docker?
Which databases does LumenX-MCP support?
How to update LumenX-MCP?
Related Resources
Official Documentation
Complete project documentation and usage guide.
GitHub Repository
Project source code and contribution guide.
QuickStart Guide
Quick start tutorial to guide you on how to set up and run LumenX-MCP.
Contribution Guide
Detailed instructions on how to participate in project development and contribute.

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