Design, art and accessibility · MCP server
Spotify MCP: MCP server, setup and security
Spotify MCP is an open-source MCP server published on GitHub that lets an AI agent search Spotify songs and manage playlists using taste and vibe analysis. Its repository has 10 stars and its last commit is from March 31, 2026 and it is licensed under MIT.
| Adoption (stars) | 10/40 | |
|---|---|---|
| Maintenance | 10/30 | |
| Framework (licence, registry, official) | 15/30 |
What Spotify MCP does
According to its repository: “Spotify tools: smart shuffle, natural-language song search, vibe analysis, artist network mapping, taste evolution and playlist management.”
The Model Context Protocol (MCP) is a standard plug between an AI agent and an outside service: once the server is connected, its tools show up in the agent, which decides when to call them. Spotify MCP is listed under Design, art and accessibility, a category of 95 servers in the directory, where it ranks #67 by stars.
Topics declared by the repository: claude, fastmcp, llm-tools, python, spotify, spotify-api.
Installing and connecting Spotify MCP
No package or remote server is declared in the official MCP registry: you install it from source, following the repository README.
It works with any MCP-compatible client (Claude Desktop, Claude Code, Cursor, VS Code, Codex and most recent agents). You add one entry to the client's MCP configuration: server name, start command or URL, environment variables. Project language: Python. Listed systems: macOS, Windows, Linux.
Security: what to check
Connecting an MCP server means installing software that talks straight to your agent: it runs with your rights and the model trusts its tool descriptions. The risk therefore depends on what it can touch and how far its code can be trusted.
None of the risk signals we track (system access, secrets, missing licence, abandonment) applies to Spotify MCP. 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 March 6, 2026, the gupta-kush/spotify-mcp repository has 10 stars and 4 forks, with 1 open issues. It has more stars than 26% of the servers in the directory. Last change 7 months ago.
Stars measure attention, not quality: a recent, heavily promoted project can collect them fast, while a useful but niche server will have few.
Verdict
Spotify MCP is still a modest project: read its code and compare it with the alternatives before using it.
Strengths
- Permissive licence (MIT)
Limitations
- No commit for 7 months
- Few visible users
- Install from source
Alternatives
- Pascal 3D Editor25.1K ★
- Next AI Draw.io36.4K ★
- Measure1.4K ★
- TerraVision1.7K ★
- Davinci resolve MCP3.7K ★
- MeiGen AI Design MCP1.8K ★
Learn more
Frequently asked questions
How do I install Spotify MCP?
No package is declared in the MCP registry: clone the gupta-kush/spotify-mcp repository, follow its README, then declare the start command in your client's MCP configuration.
Is Spotify MCP free?
The code is published under the MIT licence and can be used free of charge.
Is Spotify MCP 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 gupta-kush on GitHub. Check who maintains it before giving it access.
What are the alternatives to Spotify MCP?
In the same category: Pascal 3D Editor, Next AI Draw.io, Measure, and TerraVision. Pascal 3D Editor and Next AI Draw.io score higher on our grid.
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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