549 servers in this category
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The Model Context Protocol (MCP) Atlassian integration is an open-source implementation that bridges Atlassian products (Jira and Confluence) with AI language models following Anthropic's MCP specification. This project enables secure, contextual AI interactions with Atlassian tools while maintaining data privacy and security. Key features include:
MCP server for beads issue tracker.
Local-first MCP servers for databases, GitHub, Jira, Slack, filesystem, and Playwright.
Bitbucket MCP (Model Context Protocol) server built with FastMCP that provides programmatic access to Bitbucket API v2.0
YAML-driven integration test framework with container isolation
Model Context Protocol server for Docker management with AI assistants
A PDF file reading server based on FastMCP. Supports PDF text extraction, OCR recognition, and image extraction via the MCP protocol, with a built-in web debugger for easy testing.
MCP server for exposing OpenAPI specifications as MCP tools.
MCP server for running Ox Security MegaLinter via mega-linter-runner
MCP server for retrieving issues from sentry.io
go-mcp-jira-server created completely with [grok](https://grok.com), with credits of my prompts!
MCP server for secure API key management in Docker
CLI tool that helps debugging MCP Server Configuration errors
Comprehensive Bitbucket Cloud MCP server for repositories, PRs, pipelines, branches, and more
MCP server providing opinionated pytest execution interface for AI agents
A Docker-based media processing MCP server
Docker MCP registry