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Spiral

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Provides a standardized interface for interacting with Spiral's language models via a Model Context Protocol (MCP) server.

About

Spiral is a Model Context Protocol (MCP) server implementation designed for interacting with Spiral's language models. Built with Python, it offers a streamlined interface to access Spiral's text generation capabilities. The server provides tools for listing available models, generating text from prompts, files, or URLs, and includes robust error handling, ensuring seamless integration and reliable performance. Its flexible input sources, asynchronous operations, and type safety make it a powerful tool for developers leveraging Spiral's AI.

Key Features

  • Robust Error Handling
  • Article Extraction from URLs
  • Flexible Input Sources (text, files, URLs)
  • Asynchronous Operations
  • Pydantic Type Validation
  • 12 GitHub stars

Use Cases

  • Generating text content from prompts
  • Extracting and generating content from web pages
  • Processing larger documents via file input
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Spiral: Standardized API for Language Model Interaction