"author:MCP" matching MCP servers:

Enables AI assistants to interact with and manage Google Cloud Platform resources including Artifact Registry, BigQuery, Cloud Build, Compute Engine, Cloud Run, Cloud Storage, and monitoring services through a standardized MCP interface.

Enables AI assistants to interact with Azure DevOps, providing tools for managing work items, repositories, pipelines, and more through the Model Context Protocol.

An MCP server for Infrastructure as Code that enables AI assistants to manage cloud resources through Ansible and Terraform operations. It supports executing playbooks, managing AWS services, and running Terraform commands with optional LocalStack integration.

Enables assessing database change risk, estimating impact, generating rollback plans, prechecking change windows, and orchestrating dry-run, canary, apply, and rollback with approval gates and auditable state transitions.

Integrates GitLab with AI assistants to manage merge requests, analyze CI/CD pipelines, and create Architecture Decision Records. It enables seamless code searching, pipeline triggering, and deployment management through the Model Context Protocol.

Enables secure acquisition of itch.io game assets via official RSS feeds and authenticated Butler daemon downloads, and preview-gated publishing of game builds with hash-bound receipts and license verification.

Enables static, database-free SQL health checks that return rule-based findings and verdicts, propose executable fixes, and verify rewrites are equivalent while comparing execution plans and suggesting indexes. Supports batch/file/git-diff review for CI gating, all at zero-dependency Tier0.

Enables natural language management of Expo and EAS projects, including SDK documentation, cloud builds, CI workflows, store submission, and TestFlight crash and feedback data.

Enables seamless interaction with Azure DevOps for managing Git repositories, branches, and pull requests through natural language. It also supports automating and monitoring pipelines while providing secure, type-safe operations within MCP-compatible clients.

MCP server to dispatch Argo WorkflowTemplates according to pipeline configurations, supporting multiple pipelines, authentication, and remote access.

Auto-generated MCP server that enables interaction with the Firebase App Distribution API, allowing users to manage distribution of pre-release app builds to testers through natural language commands.