Structured Decision Optimization Framework (SDOF) MCP Server - Next-generation knowledge management with 5-phase optimization workflow
Overview
What is SDOF MCP?
SDOF MCP is a Structured Decision Optimization Framework that serves as a next-generation knowledge management system, utilizing a 5-phase optimization workflow to enhance decision-making processes.
How to use SDOF MCP?
To use SDOF MCP, clone the repository from GitHub, install the necessary dependencies, configure your environment with an OpenAI API key, and start the server. Detailed installation instructions are provided in the documentation.
Key features of SDOF MCP?
- 5-phase optimization workflow for structured decision-making
- Advanced knowledge management with vector embeddings
- Persistent storage options using MongoDB or SQLite
- Multi-interface support for MCP tools and HTTP API
- Schema validation for structured content types
Use cases of SDOF MCP?
- Managing complex decision records and rationales
- Storing and retrieving structured knowledge for AI systems
- Optimizing workflows in AI-driven projects
FAQ from SDOF MCP?
- What are the prerequisites for using SDOF MCP?
You need Node.js 18+, an OpenAI API key, and an MCP-compatible client.
- Is SDOF MCP open-source?
Yes, SDOF MCP is licensed under the MIT License and is available on GitHub.
- How can I contribute to SDOF MCP?
You can fork the repository, create a feature branch, and submit a pull request after making your changes.