1,276 servers
MCP server for intelligent code analysis and search capabilities
MCP server for the clearskies Python framework - provides code generation, documentation, and scaffolding tools
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 Jira project management — create issues, search with JQL, manage workflows, and track sprints.
MCP server for automated Git commit workflows with conventional commit messages
MCP server for Bitbucket API operations
Pixel-perfect website screenshot service exposed as both REST API and MCP server
MCP server for Python refactoring via Rope library
MCP tool for connecting Claude to Salesforce Marketing Cloud REST API
A FastMCP server for controlling apt package manager on Linux via MCP tools.
High-performance FastMCP TypeScript server for Datai blockchain data endpoints - NPX Ready
MCP server for interfacing with Cube.dev REST API
Zero-dependency security linter for MCP (Model Context Protocol) configurations
Launcher for debug-mcp-server. This package ensures debugpy is installed and provides instructions to run the main server (Node.js or Docker).
MCP Tool Definitions for Tarsus API (TypeScript)
REST API delegation module for FastMCP OAuth framework - HTTP/JSON API integration with token exchange support
Extended MCP tools for Jira and Confluence — attachments, agile boards, sprints, calendars
Validates AI infra code on real VMs. Self-corrects until it works. No containers, no sandboxes.
A Docker MCP Server
A Python MCP server for Jira access