"How to fix SonarQube findings" matching MCP servers:

Enables AI agents to run read-only AWS security audits and receive normalized, severity-ranked findings about account posture, such as stale access keys, missing MFA, public buckets, open security groups, and CloudTrail coverage.

A simple MCP server that provides a basic greeting tool and serves as a starter template for AWS Lambda deployment. Demonstrates how to build and deploy MCP servers with both local development and cloud deployment capabilities.

Enables deployment and management of applications on the Citizen platform from git repositories or local files. It allows AI assistants to monitor deployment logs, handle authentication, and automatically fix build errors using intelligent error analysis.

MCP server for AWS infrastructure analysis. Connects to DynamoDB, Lambda, SQS, SNS, Secrets Manager, EventBridge, RDS, PostgreSQL, MongoDB, and CloudWatch — surfaces missing indexes, queue DLQs, Lambda config issues, IaC drift, and security findings for Claude Code and Cursor.

Enables analyzing AWS cloud costs from billing data, identifying waste, and providing mergeable fixes, with findings reconciled to actual invoices and priced at your negotiated rates.

Enables interaction with AWS Fault Injection Service to create, manage, and execute chaos engineering experiments. Operates in read-only mode by default for security, with optional write operations for starting/stopping experiments and managing templates.

An MCP server that enables AI assistants to interact with ServiceNow instances, allowing script execution, data querying, ATF tests, and log tailing through natural language commands.

MCP server for Appwrite security audits that scans permissions and provides structured fix proposals, with active live leak confirmation via anonymous fetch.

AI supply chain security scanner for MCP servers and AI agents. 18 tools for CVE scanning, blast radius mapping, CIS benchmarks, SBOM generation, and compliance enforcement across OWASP LLM Top 10, MITRE ATLAS, NIST AI RMF, and EU AI Act.

Mercado Pago's Official MCP Server offers tools so that developers can easily interact with our API using natural language, which simplifies tasks and product integration. Remotely hosted by Mercadolibre supporting Streamable HTTP Transport. Details on how to connect: https://mcp.mercadopago.com/

CP server for RAD Security, providing AI-powered security insights for Kubernetes and cloud environments. This server provides tools for querying the Rad Security API and retrieving security findings, reports, runtime data and many more.

Provides seamless integration with the XO platform for container deployment, application lifecycle management, and knowledge base operations. Enables AI assistants to deploy, manage, and interact with applications on XO infrastructure through natural language commands.

Demonstrates how to secure an MCP server with OAuth 2.1 using AWS Cognito, with support for dynamic client registration and client ID metadata documents.

This project is intended as a both MCP server connecting to Kubernetes and a library to build more servers for any custom resources in Kubernetes.

Enables Claude Code to use Alibaba Cloud Token Plan models via a local proxy that maps Anthropic-style model names to Alibaba IDs and provides missing endpoints like model discovery.

Provides tools to validate SageMaker workloads against the six pillars of the AWS Well-Architected Framework, returning findings with severity levels and recommendations.

Defensive credential-exposure auditor for GKE that inventories workload identity, service account tokens, and RBAC posture, exposing findings via an MCP server at /mcp.

Enables secure, read-only querying of Google BigQuery datasets through a stateless MCP server with OAuth 2.1 authorization, designed for integration with Atlassian Rovo.

Analyzes DevOps findings to automatically recommend and generate AWS Fault Injection Simulator (FIS) experiment templates. It helps teams validate system resilience by mapping reported issues to specific chaos engineering actions across AWS services.

Enables AI agents to dynamically spawn, route to, and manage ephemeral containerized sandboxes on Kubernetes without requiring Custom Resource Definitions or cluster-level operators.