Paws-on
Serves as a comprehensive Model Context Protocol implementation for advanced AI model interaction and data integration.
About
Paws-on is a robust server that fully implements the latest MCP 2025-03-26 specification, enabling seamless interaction with AI models. It provides a rich set of capabilities including interactive tools, diverse resources, customizable prompt templates, and advanced enhanced sampling with model preferences. By integrating with external APIs like HackerNews and GitHub, Paws-on facilitates AI-powered analysis and structured data access, making it a production-ready solution for building context-aware AI applications.
Key Features
- Full MCP 2025-03-26 specification compliance for latest protocol features.
- Extensive collection of 15 URI-addressable resources for accessing external structured data and sampling strategies.
- Advanced enhanced sampling capabilities with explicit model preferences (intelligence, cost, speed priorities) and context integration.
- Comprehensive suite of 9 interactive tools for data retrieval and AI analysis, including HackerNews and GitHub integrations.
- Rich library of 14 parameterized prompt templates for diverse AI tasks such as trend analysis and code review.
- 2 GitHub stars
Use Cases
- Accessing and integrating structured information from public APIs into AI workflows using standardized resources.
- Performing AI-powered trend analysis on external data sources like HackerNews or GitHub repositories.
- Facilitating context-aware AI model interactions by leveraging prompt templates and specifying model preferences for sampling.