"Koa" matching MCP servers:

Connect engineering metrics, DORA performance, deploy risk scoring, and PR health to any AI assistant. Score PRs for deployment risk using a 36-signal model, query team health, incidents, coverage, and more.

Converts existing Express, Fastify, NestJS, Hono, or Koa backends into an MCP-compatible server accessible to AI clients like Claude Desktop and Cursor.

Enables AI agents to call existing Node.js API routes as MCP tools across NestJS, Express, Fastify, Koa, Hono, and AdonisJS, preserving existing auth, validation, and middleware.

Serves token-efficient code context for AI coding assistants by exposing Python signatures, call graphs, and budget-packed task context as MCP tools, enabling precise codebase queries without reading entire files.

Enables image generation using Gemini native models, supporting both single prompts and batch processing via a file-based queue. It allows for detailed configuration of aspect ratios and models using YAML frontmatter across various MCP-enabled clients.

Enables Claude Desktop users to generate and edit high-quality images using Google's Gemini AI. Supports text-to-image generation, image transformations with text prompts, and automatic local saving with multilingual support.

Enables MCP-compatible AI clients like Claude Code, Cursor, and Codex to invoke Google Antigravity's Gemini coding agent for repository-aware file operations, command execution, code review, test generation, and quota checks, while also providing a standalone dual-mode CLI.

A Model Context Protocol server that bridges AI assistants with WinCC OA projects, enabling natural language queries for datapoint search, manager management, and CTL script execution.

Persistent activity journal for AI agents - enables logging and querying decisions, changes, errors, and observations across sessions.

Enables AI agents to expose and control local and self-hosted tools via MCP, with isolated workers, long-running task management, persisted state, and modular integrations for reverse engineering and development workflows.

A local gate that lets agents submit risky tool actions for policy evaluation and receive ALLOW, DENY, or REQUIRE_APPROVE decisions before executing irreversible side effects. It can also open human approval holds and record an activity trail without executing the side effect itself.

Enables MCP-compatible clients like Codex to delegate tasks to the Antigravity CLI, using ConPTY on Windows to reliably capture responses.

A ready-to-deploy MCP server with in-process agent verification via KYA-OS Checkpoint, enabling secure tool access for verified agents.

Provides MCP multi-cluster Kubernetes management and operations. It can be integrated as an SDK into your own project and includes nearly 50 built-in tools covering common DevOps and development scenarios. Supports both standard and CRD resources.

Enables reading and searching API documentation from YApi instances, allowing AI models to access interface definitions, project API lists, and search through API endpoints using YApi URLs or project IDs.

A local MCP server that turns AI clients into power users of local git repositories, enabling clone, browse, search, and inspect code without burning API tokens.

Transforms Claude into a production-grade pair programmer by orchestrating best-in-class APIs (Morph, Chroma, DSPy) for iterative code evolution to 95%+ quality, semantic codebase search, package discovery across 3,000+ libraries, and pattern learning.