"Self-Training Coder Resources and Tools" matching MCP servers:

Enables AI assistants to deploy and manage static websites on EdgeOne Pages through a self-hosted MCP server. Supports one-click deployment, custom domain binding, and direct API access.

Post-quantum readiness for AI coding agents: scans code for quantum-vulnerable cryptography (RSA/ECDH/ECDSA/DH) and returns NIST ML-KEM/ML-DSA/SLH-DSA (and hybrid) migration guidance, with fix verification and dependency checks. Content-based, advisory tools only; runs local (npx @quantakrypto/mcp) or as a hosted OAuth endpoint.

Enables coding agents to run Playwright e2e tests, validate Supabase RLS policies with role-based SQL, typecheck TypeScript, execute npm scripts with parsed test output, and validate Next.js builds, all through a structured MCP interface.

Enables Claude to create, manage, and clean up git worktrees automatically, including dependency installation and GitHub PR creation.

An MCP server that complements Epic's official Unreal Engine MCP server with 78 additional tools across 14 subsystems for build/cook/package, cinematics, Niagara, automation testing, source control, profiling, World Partition, and project maintenance, using Unreal's built-in Python and Remote Control plugins.

Enables AI agents to interact with 1C: Enterprise development environment, including running tests, managing launch profiles, building configurations, and performing database operations through the 1C: Platform Tools extension.

Provides live Maven Central dependency inspection with stability filtering, version comparison, CVE checks, and POM-aware upgrade recommendations for MCP-capable clients.

Enables AI agents to deploy static websites to StaticX, including creating sites, uploading builds, publishing releases, and managing domains.

A Multi-Claude Program for interacting with GitHub APIs through Claude Desktop, allowing users to search repositories, manage issues, pull requests, repository settings, workflows, and collaborators.

Arch is the personified Agent Platform MCP operator for Build, Evaluate, Optimize, Debug, and Analyze workflows, enabling interaction with Kore.ai Agent Platform.

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

Enables AI assistants to interact with Azure DevOps APIs for managing projects, work items, repositories, pull requests, pipelines, and more through natural language.

Generate professional changelogs from git history and suggest semver bumps, with optional AI enhancement via Claude.

Enables interaction with multiple Jenkins instances from a single MCP server, using header-based authentication for multi-tenancy.

Enables users to interact with Prow CI/CD systems, retrieving build logs and diagnosing PR build issues through natural language.

MCP server for auditable repository self-maintenance, turning GitHub issues and failed CI into independently verified pull requests with full audit trails, human approvals, and runbook archival.

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.

Stops your AI from re-introducing bugs, leaking provider keys, or weakening tests. Bug fixes become permanent regression guards; blocked mistakes become AI lessons the agent reads and learns from before its next edit.

MCP connector for AppCrane that serves a bundled tool catalog for offline introspection and proxies tool calls to a self-hosted AppCrane instance for deploying and managing AI-built apps.

An MCP server that lets AI assistants manage KubeAid GitOps clusters, inspecting ArgoCD apps, pods, events, and resources, with optional write operations like syncing apps and scaling deployments through your own kubeconfig credentials.