Why this server?
This Model Context Protocol (MCP) server bridges Jenkins with AI language models following Anthropic's MCP specification. This project enables secure, contextual AI interactions with Jenkins tools while maintaining data privacy and security.
Why this server?
ATLAS (Adaptive Task & Logic Automation System) is a Model Context Protocol server that provides hierarchical task management capabilities to Large Language Models. This tool provides LLMs with the structure and context needed to manage complex tasks and dependencies.
Why this server?
A production-ready template for creating Model Context Protocol servers with TypeScript, providing tools for efficient testing, development, and deployment.
Why this server?
A Model Context Protocol server that provides integration with Jira, allowing Large Language Models to interact with Jira projects, boards, sprints, and issues through natural language.
Why this server?
Enables LLMs to interact with GitHub issues by providing details as tasks, allowing for seamless integration and task management through GitHub's platform.
Why this server?
A Model Context Protocol server that enables AI assistants to perform advanced web scraping, crawling, searching, and data extraction through the Firecrawl API.
Why this server?
Enables running Postman collections using Newman for conducting API tests and obtaining detailed result analysis via a standardized interface.
Why this server?
An MCP server that enables running Postman collections using Newman, allowing LLMs to execute API tests and get detailed results through a standardized interface.
Why this server?
A MCP server for querying the [VirusTotal](https://www.virustotal.com/gui/home/upload) API. This server provides tools for scanning URLs, analyzing file hashes, and retrieving IP address reports.