"MCP servers built with alternative programming languages" matching MCP servers:

Enables interaction with Azure DevOps services through Personal Access Token authentication. Provides 75 tools for managing work items, builds, repositories, pull requests, and other DevOps operations via both CLI and HTTP API interfaces.

Enables AI agents and external systems to programmatically trigger and monitor Jenkins jobs, retrieve build status and logs via MCP standards.

Publishes normalized release notices to a configured webhook via MCP, with built-in validation, deterministic dry-run mode, and a clear boundary for authority gates.

Local-only GitHub Actions and CI maintenance scanner for AI-built apps. Exposes scan, explanation, and fix-planning tools to MCP clients; modifies nothing and makes no outbound requests by default.

Enforces disciplined programming practices by requiring AI assistants to audit their work and produce verified outputs at each phase of development, following structured workflows for refactoring, feature development, and testing.

Generates complete, production-ready REST, GraphQL, and microservice APIs with built-in security, validation, and deployment configurations.

A demonstration MCP server built with FastMCP v2.0 that provides basic mathematical calculations and greeting functionality. Features Docker containerization, comprehensive testing, and CI/CD automation for learning MCP development patterns.

Enables AI assistants to interact with Coolify self-hosted instances for application deployment, management, and monitoring. Features 4 unified tools optimized for VS Code's limits, covering app management, environment configuration, system administration, and built-in documentation.

Enables AI assistants to scaffold, edit, live-preview, and deploy full-stack apps with built-in database, email, and push notification capabilities through natural language.

Enables autonomous agents and CI pipelines to execute declarative multi-step REST API workflows in a single tool call, with in-memory variable chaining, assertions, and built-in SSRF protection.

The Octri CLI's MCP server. Push OpenAPI specs, build SDKs in ten languages, publish API docs, and triage production SDK errors from your AI assistant.

A TypeScript starter template for building Model Context Protocol (MCP) servers with built-in support for tools, testing, and CI/CD pipelines. It provides a complete development environment for creating custom AI assistant integrations for tools like Claude, Copilot, and Cursor.

Enables AI assistants to control and automate cPanel hosting through its UAPI and API2 engines, supporting natural-language management of files, databases, DNS, email, SSL, Git deployment, Node.js, Python, Laravel, and GitHub CI/CD with built-in safety guardrails.

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.

A feature-complete TypeScript project template for rapidly developing Model Context Protocol tools with integrated best practices for code quality, testing, and automated deployment.

A DevOps-friendly template for building MCP servers with CI/CD, Docker support, and automatic documentation generation using fastmcp and FastAPI.

Publishes the app your coding agent built so your coworkers can use it: a private address behind email sign-in, its own database, scheduled jobs and email reminders, with tools to invite people, read logs, roll back and export data.

Enables connecting your service to the LAF bot by providing a minimal MCP server that reports critical signals and additional risk-annotated tools, with built-in submission checks and CI.

Laravel upgrade automation via MCP. Analyzers, tools & docs for Laravel 6-11 migrations. Breaking change detection. Works with any MCP client (Cursor, Claude Desktop).

Enables git-based version control for n8n workflows with automatic credential remapping, allowing AI tools to pull, push, and manage workflows across environments.

Enables Claude and other AI agents to manage Bitbucket Cloud repositories, pull requests, branches, tags, commits, diffs, files, and pipelines through a secure local MCP server with read and write tools.

Enables AI coding tools to interact with Jenkins CI instances behind Cloudflare Access, supporting job inspection, build logs, test results, and artifact retrieval.

MCP server for Zuul CI/CD with 25 tools for builds, pipelines, queue management (enqueue/dequeue/promote), infrastructure visibility, and autohold management. Supports stdio, HTTP, and SSE transports.

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

A Model Context Protocol (MCP) server for Sonatype Nexus Repository Manager that enables AI assistants to interact with Nexus repositories through a standardized interface.

Magga lets coding agents prove their changes before claiming they’re done by building the code and verifying that newly added tests fail before the fix and pass after it. It returns evidence-backed verdicts through the verify_change tool and supports 16 languages, including Rust, Go, Python, Solidity, and C/C++.

A hosted remote MCP server for managing Android release gates, with tools to check release status, explain permission blockers, issue release receipts, summarize device matrices, and export release logs.

A template repository for building Model Context Protocol (MCP) servers with TypeScript, featuring full TypeScript support, testing setup, CI/CD pipelines, and modular architecture for easy extension.

Enables AI assistants to connect to an Octopus instance so they can inspect, query, and diagnose deployments while managing projects, releases, runbooks, tasks, tenants, deployment targets, and certificates through natural language. Supports read-only or write-enabled modes with configurable toolsets and a REST backstop for API operations.

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.