"Travis CI" matching MCP servers:

Enables AI coding agents to check Travis CI build status, identify failing jobs, and read job logs, with read-only access enforced via GET-only requests and a limited tool set.

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

Enables users to manage Travis CI builds, view logs, compare builds, and get insights through natural language.

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.

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 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?'.

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.

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

Deterministic secret, PII and PHI checks for your CLI, git hooks, CI and MCP, with editable scaffolds for NIST SSDF, ISO 27001 and India's DPDP Act.

Exposes GitHub Actions state as four compact, read-only tools for triaging CI failures, letting agents answer why CI is red without leaving the chat.

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

Enables AI coding assistants to inspect GitHub Actions CI runs, diagnose failures with failed-step summaries and filtered job logs, read per-job coverage, and view pull request checks through read-only, allowlisted access.

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.

Enables AI agents to control monitor settings (brightness, contrast, input source) via DDC/CI protocol, with support for MQTT integration.

Enables automated analysis of Woodpecker CI pipeline failures with intelligent error detection and fix suggestions. Supports both direct pipeline analysis and IDE-integrated git-context analysis using repository names, PR numbers, or branch information.

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.

Enterprise-grade MCP server for Jenkins CI/CD integration that enables AI assistants to diagnose build failures, analyze pipelines, and search logs through natural conversation.

MCP server for thinker-ci, exposing tickets, CI/CD pipelines, project management data, and AI-agent sessions as tools and resources for Claude Code and other MCP clients.

Enables AI assistants to interact with Woodpecker CI to debug pipeline failures, analyze build logs, troubleshoot configurations, and perform pipeline and repository actions such as triggering, restarting, canceling, approving, activating, and updating settings.

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Enables AI assistants to debug pipeline failures, analyze build logs, troubleshoot CI/CD configurations, and manage pipelines and repositories through the Model Context Protocol.

Provides AI agents with 25 security analysis tools including vulnerability scanning, package hallucination detection, prompt injection firewall, and CI/CD integration.

This MCP server enables managing CI patch verification workflows by creating, running, tracing, previewing, and canceling patch verification tasks through local stdio tools.

Enables remote MCP clients to run allowlisted CI builds and tests in Docker Agentic Cloud sandboxes. It provides tools to list approved projects, start pinned-commit builds, poll job status, and retrieve bounded build logs.

Monitors Jenkins CI builds in real-time, fetching build status and logs on failure to provide context for AI-assisted code fixes, enhancing developer workflow.

Exposes a Ci-mvp security-triage pipeline as chat tools for Claude Desktop, enabling on-demand queries of Trivy/Semgrep scan results stored in S3.

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.

Paid remote MCP server enabling CLI tool execution with structured receipts, usage logs, and audit-ready evidence for agent and CI workflows.

Plori runs AI agents in Workspaces. A Workspace is a project folder in the cloud. Several agents can work in it at the same time, each on its own copy of the files, and Plori merges their work back into the folder. Every version of the files is kept.

A local decision graph built from your repo's git history, PRs, ADRs and CLAUDE.md/AGENTS.md, plus Jira, Linear, Notion, Slack and others read-only. Coding agents query it for what was decided and why, and every edit is checked against it before it is written.

Enables AI agents to submit npm, PyPI, Go, or Maven packages and manifests to the free OSV.dev database and receive per-package and per-advisory results with CVE mappings, CVSS scores, severities, and the versions that fix each issue. It also supports filtering by minimum severity, de-duplicating alias advisories, and machine-readable error/warning rows for CI gates and upgrade recommendations.

Enables searching and reading AVEVA Customer Support Portal knowledge base articles, including tech notes, known issues, and error-message diagnostics, to ground AI answers in support content not found in public documentation.

Enables Claude Code and Claude Desktop to command the jev-ultrafast browser agent in your real Chrome, autonomously pursuing plain-language goals on a given start URL while enforcing a domain-bound safeguard.

Dynamic multi-agent debate MCP server for structured argumentation and reasoning among AI agents.

MCP server that parses web pages into clean markdown via Crawl4AI's HTTP API, exposing parse_page and health-check tools with configurable proxy and timeout.

Enables AI agents to search IETF RFCs, inspect obsolescence status, list section headings, and read only relevant sections with clean text. It helps agents avoid citing superseded specifications while reducing context usage.

Live trend data for your AI. 25+ platforms. One connection.

Calculates Vietnamese Tử Vi horoscope charts, generating structured JSON with Thiên Bàn and Địa Bàn, transit analysis, and local persistence via SQLite.

OrcaRouter MCP — browse 160+ LLM models with live pricing (no API key needed for catalog) and route chat completions through the OrcaRouter gateway with automatic fallback.