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Paws-on

hemanthbyhemanth
•
330
•
API Development
Developer Tools
Data Science & ML

Serves as a comprehensive Model Context Protocol implementation for advanced AI model interaction and data integration.

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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

01Full MCP 2025-03-26 specification compliance for latest protocol features.
02Extensive collection of 15 URI-addressable resources for accessing external structured data and sampling strategies.
03Advanced enhanced sampling capabilities with explicit model preferences (intelligence, cost, speed priorities) and context integration.
04Comprehensive suite of 9 interactive tools for data retrieval and AI analysis, including HackerNews and GitHub integrations.
05Rich library of 14 parameterized prompt templates for diverse AI tasks such as trend analysis and code review.
062 GitHub stars

Use Cases

01Accessing and integrating structured information from public APIs into AI workflows using standardized resources.
02Performing AI-powered trend analysis on external data sources like HackerNews or GitHub repositories.
03Facilitating context-aware AI model interactions by leveraging prompt templates and specifying model preferences for sampling.