mcp-servers
Created at 2 months ago
by goofansu
🚀 The Model Context Protocol servers on my machine
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developer-tools
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What is MCP Servers?
MCP Servers is a repository designed for integrating OpenAI's o1 model and Flux capabilities using the Model Context Protocol (MCP).
How to use MCP Servers?
To use MCP Servers, clone or fork the repository, set up your environment variables correctly, and start the servers based on the provided configurations.
Key features of MCP Servers?
- Direct access to OpenAI's o1 preview model through MCP.
- Streaming support for live data interaction.
- Control over model behavior with temperature and top_p parameters.
- Integration with Flux capabilities, offering state-of-the-art image models.
Use cases of MCP Servers?
- Connecting applications to OpenAI's o1 model for querying and data processing.
- Leveraging Flux technology to enhance image processing tasks in applications.
- Developing AI-driven applications that require seamless integration with advanced models.
FAQ from MCP Servers?
- Can MCP Servers work with any OpenAI model?
No, MCP Servers are specifically configured to work with the o1 preview model at the moment.
- Is there any security concern while using API keys?
Yes, it is essential to store API keys securely using environment variables and to follow security best practices outlined in the repository.
- Are there any usage limits with the integrated APIs?
Yes, usage limits depend on the specific API terms provided by OpenAI and Flux.
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