mcp-server

AIHelms – Unify and Control Enterprise AI Models with One Gateway

AIHelms lets founders centrally manage OpenAI, Azure, Claude, DeepSeek and more, with built‑in cost tracking, auth, and audit. Ideal for enterprise AI ops. 1.0k+ GitHub stars.

From the repo · “企业级 AI 资源纳管平台,提供统一 AI网关,纳管 OpenAI、Azure、Claude、DeepSeek 等主流模型,并支持 MCP 工具与 Skill 的集中注册分发。具备内外双轨定价、成本归因、统一身份认证、安全审计与效能报表,帮助企业精准控制成本、量化 ROI,高效治理 AI 资产。”

1,031 stars+2★ this week106 forksVueGuide quality 9/10 · reviewed Oct 19Updated 10/9/2026100% free · open source
What it does

AIHelms provides a unified AI management platform for startups, supporting multiple AI models and tools, including OpenAI, and offers features like cost control, ROI quantification, and security auditing.

When to use it
  • •When you need to manage multiple AI models from different providers in one place
  • •When you want to control and optimize the costs of using AI resources in your startup
  • •When you need to implement security and identity authentication for your AI assets
Ready-to-paste prompt
Configure AIHelms to use OpenAI by adding the following to your `config.js`: `{ openai: { apiKey: 'YOUR_OPENAI_API_KEY' } }`
Heads up: Ensure you have the correct version of Node.js installed, as specified in the `package.json` file, to avoid compatibility issues when running AIHelms
Saves to your device
Use with Claude
New

Skip the builder — one click puts this in Claude, Cursor, Antigravity and more.

🔑 Needs an API key

Works after you add credentials — the setup agent will ask you for them.

Try it instantly — no install
Claude Code
mkdir -p ~/.claude/skills/aihelms && curl -fsSL https://workflowstacks.com/api/skills/aihelms/claude-skill -o ~/.claude/skills/aihelms/SKILL.md
Open in another AI app

Opens the app with this repo with the prompt ready to go — no copy-paste needed.

Connect the whole catalog (MCP)
claude mcp add --transport http workflowstacks https://workflowstacks.com/api/mcp

Adds a WorkflowStacks connector to Claude Code: search and load any skill here by chatting.

How AIHelms – Unify and Control Enterprise AI Models with One Gateway works
Codeflow
Free to inspect

AIHelms – Unify and Control Enterprise AI Models with One Gateway is a large Python project (~59k lines across 328 code files, plus 26 test files). Setup is light: runs with Docker — add your API keys to .env. Last commit this month, GPL-3.0 license, has a test suite.

Size
Large codebase
~59k lines · 328 code files · ~8 h to skim
Setup
Light setup
Runs with Docker — add your API keys to .env.
Runs on
Docker
Needs API keys (.env)
Python 49%Vue 43%TypeScript 6%Shell 1%
Where to start reading
  1. 1
    README.md
    Start here — what it does and how to install it
  2. 2
    CLAUDE.md
    The instructions the AI actually follows
  3. 3
    apps/main.py
    Where the program starts running
  4. 4
    .env.example
    The API keys and settings you must provide
What's in each folder
ui/Frontend / UI346 files
apps/Sub-packages / plugins163 files
docs/Documentation8 files
docker/Deployment / infrastructure30 files
dev/Folder5 files
.claude/Editor / agent settings8 files
.codex/Tool / agent settings6 files
READMEHas testsDocumentedNo CIDocker readyGPL-3.0 licenseUpdated this month
Quick Actions
Details
Creator
beizhu-1209
Language
Vue
Category
mcp-server
Published
5/9/2026

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Featured on WorkflowStacks
[![Featured on WorkflowStacks](https://workflowstacks.com/api/badge/aihelms.svg)](https://workflowstacks.com/skills/aihelms?utm_source=github&utm_medium=badge)
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