MCP Servers
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Node.js/TypeScript MCP server for Atlassian Bitbucket enabling AI systems (LLMs) to interact with workspaces, repositories, and pull requests via tools (list, get, comment, search). Connects AI directly to version control workflows through the standard MCP interface.
A Markdown content preprocessor that fetches web pages, strips noise, and converts content to clean Markdown while preserving links. Designed for minimal token footprint so entire pages can be read at once. Crawl and scrape webpages and whole sites locally with minimal dependencies
The Model Context Protocol (MCP) is an open-source implementation that 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.
New to MCP?
From what the protocol is to installing your first server, these answers cover most first questions.
An open protocol that defines how AI applications connect to external tools and data in a uniform way. Clients talk to the model; MCP servers provide tools, resources and prompt templates. They exchange standard messages, so one server can be reused by many clients.
