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Lobe Chat Pro

Community
Not a standard server
An enhanced multi-functional AI creation platform based on lobe-chat, featuring infinite canvas, image, music, and video generation with full backend management.

This is not a typical connect-and-use MCP server; read the source repository before using it.

How to install ↓ Compare GitHub source repository ↗
Category
Other #227 of 230
Stars
★ 302 Popular
Transport
stdio (local process)
Runtime
Docker
Credentials
Optional API key
License
Other / unspecified
Last commit
22FMRS · D

Feature-rich, but license is unclear and some advanced features require authorization. Suitable for developers needing a versatile AI creation platform, but with risks.

Strongest · Documentation 5/20 Weakest · Security and permissions 3/20

Reliability
5/20
Security and permissions
3/20
Maintenance
5/20
Documentation
5/20
Setup experience
4/20
Why each score
Reliability 5/20
Repository provides no MCP server manifest or code; cannot confirm MCP init or tool-list handshake. Project is a full web app, but MCP server functionality is absent. No verifiable execution evidence (CI, tests) exists; static review yields low score.
Security and permissions 3/20
Experience site credentials (admin/123456) are disclosed in README, posing a risk. Project deals with payments and user data; authorization code required for deploy, but not clearly documented. No malware or credential theft found, but security practices (password handling, least privilege) are not described. Install examples contain no real tokens, but default credentials are risky.
Maintenance 5/20
Recent update date (2026-06-07) is implausible (future), suggesting possibly fabricated. Active development with Docker images, but license is NOASSERTION (no clear license). No visible issue response or contribution guidelines.
Documentation 5/20
README is extensive for web app deployment, but no MCP-specific documentation. No install, auth, tool parameters, or troubleshooting for MCP. Limitations (e.g., authorization code) not fully disclosed.
Setup experience 4/20
No MCP setup steps; as web app, Docker commands exist but require authorization code and payment. No client configuration examples. Mainstream client compatibility (e.g., Claude Desktop) not addressed.

Static review · not runListed 2026-08-07

Read the FMRS scoring method →

Fit and risk

What it can accessUses the networkChanges third-party account data

Best for

  • Developers and businesses needing integrated multi-functional AI creation
  • AI service providers needing user management and billing
  • Teams looking to quickly deploy a multi-functional AI chat and creation platform

Not for

  • Lightweight users who only need basic chat features
  • Users who don't want to deal with third-party authorization or licensing issues

Required permissions

  • Requires server deployment and Docker setup
  • Backend management version requires authorization, possibly a commercial agreement

Risks and side effects

  • License is NOASSERTION, unclear; commercial use should be cautious
  • Backend management features require a paid license
  • Reliance on third-party APIs and models may lead to service instability or costs

Setup

Before you start

Runtime：Docker

AUTHORIZE_CODE requiredsecret License code; contact WeChat 822784588 to obtain and bind your domain.
APP_URL required Public URL of the app, e.g. https://client.annyun.cn.
NEXT_AUTH_SECRET optionalsecret Auth secret; any random string works.
KEY_VAULTS_SECRET optionalsecret Vault encryption key; docs use bed69c29a04b400fbc7bc3e2fa8d38dd.
Other optional settings (6)
APP_CUSTOM_NAME optional Custom app name, e.g. LobeChatPro.
APP_CUSTOM_LOGO optional Custom logo; must be an https image URL.
NEXTAUTH_URL optional Auth callback URL: APP_URL plus /api/auth.
BACKEND_BASE_URL optional Relay/proxy station address, e.g. https://api.annyun.cn.
APP_CONFIG optional JSON app config with login params, token page path, etc.; see Parameters.md.
NEXT_AUTH_SSO_PROVIDERS optional SSO provider; only 'annyun' is allowed.

Multiple deployment methods are provided:

  • Version with backend management: requires authorization (WeChat: 822784588), user port 3210, admin port 8888.
  • Relay station special version: two variants, login version (image tag client) and no-login version (nologin). Both require an authorization code.
  • Open-source version: run docker run -d -p 3210:3210 registry.cn-hangzhou.aliyuncs.com/ann-chat/lobe-chat-pro:latest directly.

See README or project docs for environment variables and configuration.

Check that it works

After starting the Docker container, open http://{machine-ip}:3210; if the chat UI loads and image generation with a configured model (e.g. midjourney) works, the deployment succeeded.

Troubleshooting

  1. Common checks:
  2. - Ensure ports 3210, 8888, 9000 are free during deployment
  3. - Verify environment variables, especially NEXTAUTH_URL and BACKEND_BASE_URL
  4. - Ensure network access to external APIs

Things to try

Once connected, you can ask your AI assistant things like:

  • Draw a cyberpunk city image with midjourney
  • Turn this image into a short video
  • Create an upbeat background music track with suno
  • Upscale this image in HD and remove its background on the infinite canvas

Use cases

Create and modify images, generate videos directly in chat
Use dedicated panels for professional drawing, music, and video creation
Build an AI platform with user management and billing

Overview

Lobe Chat Pro is an AI creation platform extended from the open-source project lobe-chat. It adds an infinite canvas feature, supports multiple image and video models (like doubao, google, openai, kling, midjourney, etc.), and provides independent panels for drawing, music, and video creation. Additionally, it includes comprehensive backend management: user management (registration/login, grouping, referral rewards), model management (providers, pricing, API keys), payment systems (WeChat Pay, Yipay, Hupijiao, Stripe), billing (recharge, exchange, consumption, refund), order management, message recording, and notifications. The project also offers a special relay station version for quick integration with relay services like one-api and new-api, with a pure frontend deployment option.

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Source revision 2a400facaee7 Data synced 2026-10-12 Read the FMRS scoring method