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Refactor tool configuration and initialization (#18)
Introduce a centralized tools registry to manage tool configurations and
initialization, removing redundant setup logic. This update enhances
modularity, simplifies tool integration, and ensures configuration
validation and default setup consistency for all tools.
Copy file name to clipboardExpand all lines: README.md
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# MCP Kit - Model Context Protocol Toolkit
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# MCP Kit - Model Context Protocol Toolkit 🌐🤖
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This project is a playground for experimenting with the Model Context Protocol (MCP) and Large Language Models (LLMs).
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🔬 A cutting-edge toolkit for experimenting with Large Language Models (LLMs) and the Model Context Protocol (MCP).
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The MCP Kit provides a platform that facilitates interaction with Large Language Models (LLMs) using the Model Context Protocol (MCP).
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It enables AI assistants to interact with external tools and services, extending their capabilities beyond their confined contexts.
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This toolkit offers a standardized way for AI models to communicate with external systems.
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## Overview 🌟
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MCP Kit is an innovative platform designed to revolutionize AI model interactions by providing a standardized, extensible framework for communication between AI assistants and external tools/services. It enables developers to build intelligent, context-aware applications with seamless integration across various AI models and services.
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**Disclaimer**: This project is a proof-of-concept and is not intended for production use. Feel free to explore, experiment,
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and contribute to the project. For production systems, consider using separate, well-established components mentioned in this project
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and services tailored to your needs. For any questions or feedback, please open an issue or contact the maintainers.
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## Components
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Feel free to explore the [MCP Kit Frontend](https://github.com/shaharia-lab/mcp-frontend) project.
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## Getting Started
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## Getting Started 🚀
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### Prerequisites
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Please note that by contributing to this project, you agree to adhere to our [Code of Conduct](./CODE_OF_CONDUCT.md).
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## Monitoring and Observability
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MCP Kit comes with built-in monitoring and observability features using popular open-source tools:
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- **Prometheus**: For metrics collection and monitoring
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- **Grafana**: For visualization and dashboards
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- **Loki**: For log aggregation
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- **Promtail**: For log shipping and collection
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These tools are pre-configured in the `monitoring/` directory and can be easily deployed using Docker Compose.
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## License
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This project is licensed under the MIT License. See the [LICENSE](./LICENSE) file for details. Each component may have its own license, so please check the respective repositories/libraries for more information.
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