"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.

Read-only attack-path tools for cloud and Kubernetes: list the reachable routes from internet exposure to sensitive assets, explain each hop and the evidence behind it, and simulate a fix before recommending it. Connects to a running PerspectiveGraph engine.

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.

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

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.

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

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.

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.

A basic serverless MCP server example running on Netlify Functions using Express. Demonstrates how to deploy and run Model Context Protocol servers in a serverless environment.

Enables AI clients to explore and query a Cloudflare D1 database safely by listing tables, describing their columns alongside notes on how the data really behaves, and running a single read-only SELECT capped at 500 rows. Access is granted through per-person hashed tokens with human first-use approval, and the underlying read-scoped credential makes writes impossible at the Cloudflare level.

A basic example demonstrating how to develop and run a serverless Model Context Protocol (MCP) implementation using Netlify Functions and Express.

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 coding agents to diagnose root causes of AWS Glue, MWAA (Airflow), Athena and Lake Formation failures, either from an error/log incident or from live read-only lookups of a Glue job run, MWAA environment or Athena query. Exposes tools that return ranked candidate causes with evidence, fix steps and documentation links, plus a listing of the supported failure patterns.

A serverless MCP server example built with Express and deployed on Netlify Functions, demonstrating how to expose MCP endpoints via a custom URL with proper redirects.

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.

A basic example of a Model Context Protocol (MCP) server deployed as a Netlify Function, demonstrating how to serve MCP endpoints over HTTP.

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

Lets an AI assistant scan a user's own AWS account with read-only credentials for wasted resources and estimated monthly savings, then list, explain and get review-only fix guidance for each finding. Runs locally; nothing is sent to CloudWise.

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 read-only inspection of Kubernetes resources and Terraform plans, retrieval of policy findings, and schema and policy validation of manifests and patches without applying changes.

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

A basic example of developing and running serverless Model Context Protocol (MCP) using Netlify Functions, demonstrating how to deploy and access MCP functionality through customized URLs.

Demonstrates how to deploy and run Model Context Protocol (MCP) servers using Netlify's serverless functions. Provides a basic example of serverless MCP implementation with customizable URLs and automated deployment pipeline.