"Understanding Document Embeddings, Knowledge Graphs, and Vector Representations" matching MCP servers:

Monitor failing GitHub Actions workflows, auto-fix them with OpenCode, and retry the run — driven by a workflow_run webhook, coordinated through an MCP server.

Production-ready, zero-knowledge AI DevOps deployment, infrastructure provisioning, self-healing execution, and persistent documentation engine for VPS servers.

Provides 26 tools for Puppet Master framework operations including initialization, development, database management, deployment, builds, linting, testing, configuration, knowledge retrieval, contribution workflows, and code reviews.

Karpenter is a Kubernetes Node Autoscaler built for flexibility, performance, and simplicity.

A production-ready template for building Model Context Protocol (MCP) servers in Python, using Docker Compose for containerized development and CI/CD.

This MCP Server bridges Egonex-AI/Understand-Anything with Claude Desktop and other MCP clients, giving LLMs native access to full-codebase structural graphs, architecture analysis, and CI/CD validation.

Query Prometheus from CLI or any MCP client, with retries, caching, and an optional metrics exporter.

A boilerplate for building FastMCP servers, providing a basic setup for testing, linting, formatting, and publishing to NPM.

AI code impact analysis MCP server that monitors file changes, maps dependency graphs, detects cascading breakage, and gates builds before damage spreads.

Enables AI assistants to perform operations on remote servers by reusing SSH sessions from a local desktop app, including command execution, file upload/download, and project document management with security controls.

Provides Kubernetes deployment intelligence with typed query tools and AI-synthesized risk briefs, enabling users to list workloads, get detailed snapshots, query Prometheus metrics, record deployment history, and generate risk assessments before promoting to production.

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.

A Jenkins MCP server for multi-instance build management, log inspection, failure diagnostics, and optional vector search.

Enables security scanning of source code and Apple configuration files, providing evidence-based findings, explanations, remediation plans, threat modeling, and knowledge base access through MCP tools.

An open source MCP server empowering SREs with intelligent observability, predictive analytics, and AI-driven automation across Kubernetes, OpenShift, and Tekton environments.

Enables searching and retrieving official PipeCD documentation through full-text search and document retrieval. Clones PipeCD docs from GitHub and indexes Markdown files for quick access to titles and content.

Interact with OneDev for CI/CD spec editing, pull request review, and issue workflow automation etc.

A Model Context Protocol server implementation that allows AI models to interact with and manage Spinnaker deployments, pipelines, and applications through a standardized interface.

A production-ready template for building Model Context Protocol servers in Python, featuring example tools, structured logging, and multiple transport protocols.

AI-powered Odoo engineering platform providing static analysis, domain knowledge, and 14 MCP tools for code review, model exploration, and security auditing of Odoo modules.