Add aashari MCP servers to awesome-mcp-servers

- Add mcp-server-aws-sso to Cloud Platforms category
- Add mcp-server-atlassian-bitbucket to Developer Tools category
- Add mcp-server-atlassian-confluence to Developer Tools category
- Add mcp-server-atlassian-jira to Developer Tools category

These servers provide integrations for AWS SSO authentication and
Atlassian suite (Bitbucket, Confluence, Jira) for AI assistants.

🤖 Generated with [Claude Code](https://claude.ai/code)

Co-Authored-By: Claude <noreply@anthropic.com>

README.md

@@ -178,6 +178,7 @@ Cloud platform service integration. Enables management and interaction with clou
 - [alexbakers/mcp-ipfs](https://github.com/alexbakers/mcp-ipfs) 📇 ☁️ - upload and manipulation of IPFS storage
 - [reza-gholizade/k8s-mcp-server](https://github.com/reza-gholizade/k8s-mcp-server) 🏎️ ☁️/🏠 - A Kubernetes Model Context Protocol (MCP) server that provides tools for interacting with Kubernetes clusters through a standardized interface, including API resource discovery, resource management, pod logs, metrics, and events.
 - [VmLia/books-mcp-server](https://github.com/VmLia/books-mcp-server) 📇 ☁️ - This is an MCP server used for querying books, and it can be applied in common MCP clients, such as Cherry Studio.
+- [aashari/mcp-server-aws-sso](https://github.com/aashari/mcp-server-aws-sso) 📇 ☁️ 🏠 - AWS Single Sign-On (SSO) integration enabling AI systems to securely interact with AWS resources by initiating SSO login, listing accounts/roles, and executing AWS CLI commands using temporary credentials.
 - [alexei-led/aws-mcp-server](https://github.com/alexei-led/aws-mcp-server) 🐍 ☁️ - A lightweight but powerful server that enables AI assistants to execute AWS CLI commands, use Unix pipes, and apply prompt templates for common AWS tasks in a safe Docker environment with multi-architecture support
 - [alexei-led/k8s-mcp-server](https://github.com/alexei-led/k8s-mcp-server) 🐍 - A lightweight yet robust server that empowers AI assistants to securely execute Kubernetes CLI commands (`kubectl`, `helm`, `istioctl`, and `argocd`) using Unix pipes in a safe Docker environment with multi-architecture support.
 - [aliyun/alibaba-cloud-ops-mcp-server](https://github.com/aliyun/alibaba-cloud-ops-mcp-server) 🎖️ 🐍 ☁️ - A MCP server that enables AI assistants to operation resources on Alibaba Cloud, supporting ECS, Cloud Monitor, OOS and widely used cloud products.  
@@ -384,6 +385,9 @@ Tools and integrations that enhance the development workflow and environment man
 - [admica/FileScopeMCP](https://github.com/admica/FileScopeMCP) 🐍 📇 🦀 - Analyzes your codebase identifying important files based on dependency relationships. Generates diagrams and importance scores, helping AI assistants understand the codebase.
 - [ambar/simctl-mcp](https://github.com/ambar/simctl-mcp) 📇 🏠 🍎 A MCP server implementation for iOS Simulator control.
 - [api7/apisix-mcp](https://github.com/api7/apisix-mcp) 🎖️ 📇 🏠 MCP Server that support for querying and managing all resource in [Apache APISIX](https://github.com/apache/apisix).
+- [aashari/mcp-server-atlassian-bitbucket](https://github.com/aashari/mcp-server-atlassian-bitbucket) 📇 ☁️ - Atlassian Bitbucket Cloud integration. Enables AI systems to interact with repositories, pull requests, workspaces, and code in real time.
+- [aashari/mcp-server-atlassian-confluence](https://github.com/aashari/mcp-server-atlassian-confluence) 📇 ☁️ - Atlassian Confluence Cloud integration. Enables AI systems to interact with Confluence spaces, pages, and content with automatic ADF to Markdown conversion.
+- [aashari/mcp-server-atlassian-jira](https://github.com/aashari/mcp-server-atlassian-jira) 📇 ☁️ - Atlassian Jira Cloud integration. Enables AI systems to interact with Jira projects, issues, comments, and related development information in real time.
 - [ArchAI-Labs/fastmcp-sonarqube-metrics](https://github.com/ArchAI-Labs/fastmcp-sonarqube-metrics) 🐍 🏠 🪟 🐧 🍎 -  A Model Context Protocol (MCP) server that provides a set of tools for retrieving information about SonarQube projects like metrics (actual and historical), issues, health status.
 - [automation-ai-labs/mcp-link](https://github.com/automation-ai-labs/mcp-link) 🏎️ 🏠 - Seamlessly Integrate Any API with AI Agents (with OpenAPI Schema)
 - [azer/react-analyzer-mcp](https://github.com/azer/react-analyzer-mcp) 📇 🏠 - Analyze React code locally, generate docs / llm.txt for whole project at once