ashish_soni08_cohere_mcp_server
by Ashish-Soni08Cohere MCP Server: Advanced Multilingual Model Integration
Overview
The Cohere MCP Server is a powerful implementation of the Model Context Protocol (MCP) that integrates seamlessly with the Cohere API. It enables developers to leverage cutting-edge multilingual models and advanced retrieval capabilities in their applications. This server is designed to simplify the integration of generative AI and multilingual models, making it an ideal choice for developers working on complex AI-driven solutions.
Key Features
- Multilingual Model Support: Utilize Cohere's advanced multilingual models for diverse language applications.
- Advanced Retrieval Capabilities: Enhance your application's search and retrieval functionalities.
- Generative AI Integration: Integrate generative AI features for creative and dynamic content generation.
- Customizable Prompts: Tailor prompts to suit specific use cases and requirements.
- Resource Management: Efficiently manage resources, tools, and prompts for streamlined development.
Tools and Dependencies
The Cohere MCP Server is built using Python and includes the following key dependencies:
- Firecrawl: For web crawling and data extraction.
- Python-dotenv: For managing environment variables.
- Cohere API: For accessing multilingual models and retrieval capabilities.
Configuration
To set up the Cohere MCP Server, follow these steps:
1. Clone the repository:
bash
git clone https://github.com/Ashish-Soni08/cohere-mcp-server.git
2. Install dependencies:
bash
pip install -r requirements.txt
3. Configure environment variables using .env file:
env
COHERE_API_KEY=your_cohere_api_key
4. Run the server:
bash
python cohere_mcp_server/main.py
Usage
The Cohere MCP Server can be used for a variety of applications, including:
- Multilingual Chatbots: Build chatbots that support multiple languages.
- Content Generation: Generate dynamic and creative content using generative AI.
- Advanced Search: Implement advanced search and retrieval features in your applications.
- Custom AI Solutions: Develop custom AI-driven solutions tailored to your specific needs.
License
This project is licensed under the MIT License. For more details, see the LICENSE file.
Contributing
Contributions are welcome! If you'd like to contribute, please follow these steps:
1. Fork the repository.
2. Create a new branch for your feature or bug fix.
3. Submit a pull request with a detailed description of your changes.
Resources
Support
For any issues or questions, please open an issue on the GitHub repository.
Developed by Ashish Soni
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