"A guide to CI/CD (Continuous Integration and Continuous Deployment)" matching MCP servers:

AI-powered continuous code assistant for Cursor, VS Code, Antigravity, and Claude Code via MCP, providing tools for code review, testing, documentation, and quality analysis.

CI CD Generator AI - MCP server providing AI-powered tools and automation by MEOK AI Labs

Security auditor for CI ecosystems that detects supply-chain and injection flaws in CI/CD configuration files across seven CI platforms, providing taint analysis, remediation, and compliance scoring.

A simple demonstration MCP server that provides a sum_numbers tool for calculating the sum of a list of integers, built using the FastMCP framework.

Enables SSH-based deployment operations such as git pull, command execution, script upload/run, and SSH config management.

Provides a testable gateway path for running a local MCP-style server in hosted-like conditions, with tenant-isolated reads, approval-denied writes, deterministic failures, and smoke-test verification.

Enables headless Claude to review pull requests and triage CI failures on a real GitHub repository, routing all GitHub write actions through the MCP server.

MCP server with the watch_ci tool that polls GitHub Actions until a commit's CI run finishes, then returns the outcome and failed log tail in one call.

MCP server for GitLab CI/CD — pipelines, jobs, schedules, branches, tags, merge requests and repository files. Works with any GitLab (SaaS gitlab.com or self-hosted) via python-gitlab.

MCP server that lets Claude diagnose failed GitHub Actions runs by fetching and parsing CI logs into structured failure signals, enabling natural-language questions like 'Why did the last run fail?'.

A reference MCP server for observing Vercel projects and deployments over stdio. It provides read-only tools to list and fetch details of Vercel projects and deployments.

MCP server for GitHub Actions CI failure triage. It wraps the gh CLI to fetch PR checks, failed jobs, and tail/grep failed job logs with ANSI/timestamp stripping and root-cause extraction.

Enables analyzing Salesforce deployment logs, validating metadata manifests, assessing permission risks, and generating remediation plans through deterministic, local-only rules.

MCP server for Woodpecker CI: read repositories, pipelines and logs, and drive builds, secrets and crons

Provides tools to analyze and debug GitHub Actions CI failures, including summarizing failures, detecting flaky tests, and suggesting fixes.

Enables AI agents to access and manage project guidelines, documentation, and context through a structured content system with template support and workflow management.

A beginner-friendly Model Context Protocol (MCP) server that helps users understand MCP concepts, provides interactive examples, and lists available MCP servers. This server is designed to be a helpful companion for developers working with MCP. Also comes with a huge list of servers you can install.

A TypeScript-based MCP server scaffold designed for monitoring and interacting with Drone CI environments. It provides tools for webhook parsing, HMAC signature verification, and state management for CI/CD pipelines.

Provides access to clean code guide documents and enables code quality inspection of external project files based on coding standards and best practices.

Enables AI agents to monitor and debug GitLab CI/CD pipelines by providing tools to list pipelines, retrieve job logs, and analyze failure root causes. It features automated error pattern extraction and failure analysis to streamline pipeline troubleshooting.