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Image, video and audio · MCP server

Dali by Lulu: MCP server, setup and security

Dali by Lulu is an open-source MCP server that lets an AI agent score and rewrite weak prompts before generating images or videos. Its repository has 9 stars and its last commit is from July 13, 2026 and it is licensed under MIT.

Score
48/100
Adoption (stars) 10/40
Maintenance 18/30
Framework (licence, registry, official) 20/30
Last commit 3 months agoRemote server

What Dali by Lulu does

According to its repository: “Score AI image and video generation prompts for models like Veo 3, Sora, Kling, Midjourney and Flux, and rewrite weak ones before generating.”

An MCP server gives an AI agent extra tools it calls during the conversation: the agent reads their description, decides to use them and gets the result back. Dali by Lulu is listed under Image, video and audio, a category of 67 servers in the directory, where it ranks #54 by stars.

Topics declared by the repository: claude, generative-ai, prompt-engineering.

Installing and connecting Dali by Lulu

Distribution modes declared in the official MCP registry:

  • PyPI package (Python, started with uvx or pip)
  • remote server (streamable-http): you connect to it by URL, with nothing to install locally

Like any MCP server, you declare it in your client's configuration (Claude Desktop, Claude Code, Cursor, VS Code, Codex…): a name, the command that starts it or its URL, and any environment variables. The client then starts it and lists its tools. Project language: Python.

Security: what to check

An MCP server runs code with the rights you give it, and the model reads its tool descriptions: a malicious or compromised server can hijack the agent. Read the code, or pick a maintained and widely used server, before connecting it.

None of the risk signals we track (system access, secrets, missing licence, abandonment) applies to Dali by Lulu. That does not replace reading the code.

Good practice: grant only the rights needed (least privilege), require human approval for irreversible actions, and run the AI agent security check.

Project activity and maintenance

Created on July 7, 2026, the Lulu-The-Narwhal/dali-mcp repository has 9 stars and 0 forks, with 0 open issues. It has more stars than 24% of the servers in the directory. Last change 3 months ago. Version published in the registry: 0.6.1 (July 13, 2026).

Stars measure attention, not quality: a recent, heavily promoted project can collect them fast, while a useful but niche server will have few.

ScreenpipeScreenpipe : 22.1K22.1KFunASRFunASR : 20.8K20.8KRemove AI WatermarksRemove AI Watermarks : 6.1K6.1KOpenScreenOpenScreen : 4.9K4.9KOpenPostOpenPost : 755755FableCutFableCut : 746746Anki MCP ServerAnki MCP Server : 531531MCP youtube transcriptMCP youtube transcript : 492492Dali by LuluDali by Lulu : 99
GitHub stars of the most followed servers in the category (log scale); Dali by Lulu in orange. Checked October 25, 2026.

Verdict

Dali by Lulu is still a modest project: read its code and compare it with the alternatives before using it.

Strengths

  • Listed in the official MCP registry
  • Usable remotely, without installation
  • Permissive licence (MIT)

Limitations

  • Few visible users

Frequently asked questions

How do I install Dali by Lulu?

Dali by Lulu is distributed as PyPI package (Python, started with uvx or pip) and a remote server. Add it to your client's MCP configuration (Claude Desktop, Cursor, VS Code…) following the README of Lulu-The-Narwhal/dali-mcp.

Is Dali by Lulu free?

The code is published under the MIT licence and can be used free of charge.

Is Dali by Lulu safe?

No risk signal found (system access, secrets, licence, abandonment). As with any MCP server, keep rights minimal and read the code before sensitive use.

Is it an official server?

Nothing says so: it is a project published by Lulu-The-Narwhal on GitHub. Check who maintains it before giving it access.

What are the alternatives to Dali by Lulu?

In the same category: OpenScreen, Remove AI Watermarks, FunASR, and Oh My Cassette. OpenScreen and Remove AI Watermarks score higher on our grid.

Related articles

Neutrality. No affiliate links. No vendor pays to be reviewed, rated or ranked. Reviews are directed by François Chollet, neutral and factual, and every data point is dated and sourced. How we score