Flask Webapp
byFbeunder
0Integrates LLMs with MCP tools, enabling users to process prompts using various AI models and contextual tools.
About
This Flask web application provides a user-friendly interface to interact with LLMs like OpenAI's GPT-3.5 and Anthropic's Claude 2. Users can input prompts and receive answers, while the application automatically enriches the prompt with context from external tools like Brave Search and GitHub, managed through integrated MCP servers. This allows for more informed and context-aware responses from the AI models.
Key Features
- LLM model selection (OpenAI GPT-3.5 and Anthropic Claude 2)
- 0 GitHub stars
- Automatic prompt enrichment with context from active tools
- API key configuration via environment variables or .env file
- Complete prompt display including added context
- MCP-tools management (Brave Search and GitHub)
Use Cases
- Accessing and managing LLMs through a web interface
- Generating context-aware responses from AI models
- Automating prompt enrichment with external data sources
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