This MCP system connects a knowledge base server with a client-side Python application, enabling natural language querying of company policies through MCP protocol and OpenAI's API.
Added on:
Created by:
Apr 28 2025
This MCP system connects a knowledge base server with a client-side Python application, enabling natural language querying of company policies through MCP protocol and OpenAI's API.
Added on:
Created by:
Apr 28 2025
Kofi Adom
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What is MCP Knowledge Base Assistant?
The MCP Knowledge Base Assistant enables querying a knowledge base via a server exposed as a tool, integrated with a client application using Server-Sent Events (SSE). It incorporates Docker for containerization and OpenAI's API for natural language processing. Users ask questions about company policies, and the system retrieves relevant info from a json-based knowledge base, providing accurate and efficient responses. It supports extensibility by adding new policies to the knowledge base or additional tools, fostering a reusable and scalable environment for enterprise knowledge management employing MCP standards.
Who will use MCP Knowledge Base Assistant?
- Developers building MCP-compatible AI assistants
- Organizations managing internal company policies
- AI researchers exploring tool integration with LLMs
- Technical teams deploying knowledge base solutions
How to use the MCP Knowledge Base Assistant?
- Step1: Clone the repository and set up the environment
- Step2: Configure your OpenAI API key in the .env file
- Step3: Run the MCP server locally or via Docker
- Step4: Launch the client.py script to connect to the server
- Step5: Input questions about policies or knowledge base content in the client
- Step6: The client sends the query through MCP, and responses are retrieved from the knowledge base
MCP Knowledge Base Assistant's Core Features & Benefits
The Core Features
- get_knowledge_base
- expand knowledge base
- add custom tools
The Benefits
- Enables natural language querying of organizational policies
- Supports scalable and containerized deployment
- Integrates seamlessly with OpenAI for intelligent responses
- Extensible with additional knowledge and tools
MCP Knowledge Base Assistant's Main Use Cases & Applications
- Internal policy FAQ chatbot for enterprises
- Automated knowledge retrieval system for HR departments
- AI-powered support tool for employee onboarding
- Research prototype for MCP protocol and knowledge base integration
FAQs of MCP Knowledge Base Assistant
Developer
- kofiadom
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