Skip to main content
Glama
DivyamAgg24

Spotify-Claude MCP Server

by DivyamAgg24

Server Quality Checklist

50%
Profile completionA complete profile improves this server's visibility in search results.
  • Latest release: v1.0.0

  • Disambiguation5/5

    With only one tool, there is no possibility of ambiguity or overlap between tools. The single tool 'get_artist' has a clear, distinct purpose that cannot be confused with any other tool in this set.

    Naming Consistency5/5

    The naming follows a consistent verb_noun pattern with 'get_artist'. With only one tool, there is no inconsistency to evaluate, and the naming convention is clear and appropriate for the tool's function.

    Tool Count2/5

    A single tool is too few for a server named 'Spotify-Claude MCP Server', which suggests a broader music or artist domain. This minimal toolset severely limits functionality and does not provide adequate coverage for typical Spotify-related tasks like searching, playing, or managing playlists.

    Completeness1/5

    The tool surface is severely incomplete for a Spotify server. It only allows getting an artist name, with no support for other core operations such as searching for tracks, playing music, managing playlists, or accessing album information, making it impractical for most agent workflows.

  • Average 1.7/5 across 1 of 1 tools scored.

    See the Tool Scores section below for per-tool breakdowns.

    • No community issues in the last 6 months
    • 0 commits in the last 12 weeks
    • No stable releases found
    • No critical vulnerability alerts
    • No high-severity vulnerability alerts
    • No code scanning findings
    • CI status not available
  • Add a LICENSE file by following GitHub's guide. Once GitHub recognizes the license, the system will automatically detect it within a few hours.

    If the license does not appear after some time, you can manually trigger a new scan using the MCP server admin interface.

    MCP servers without a LICENSE cannot be installed.

  • This repository includes a README.md file.

  • No tool usage detected in the last 30 days. Usage tracking helps demonstrate server value.

    Tip: use the "Try in Browser" feature on the server page to seed initial usage.

  • Add a glama.json file to provide metadata about your server.

  • If you are the author, simply .

    If the server belongs to an organization, first add glama.json to the root of your repository:

    {
      "$schema": "https://glama.ai/mcp/schemas/server.json",
      "maintainers": [
        "your-github-username"
      ]
    }

    Then . Browse examples.

  • Add related servers to improve discoverability.

How to sync the server with GitHub?

Servers are automatically synced at least once per day, but you can also sync manually at any time to instantly update the server profile.

To manually sync the server, click the "Sync Server" button in the MCP server admin interface.

How is the quality score calculated?

The overall quality score combines two components: Tool Definition Quality (70%) and Server Coherence (30%).

Tool Definition Quality measures how well each tool describes itself to AI agents. Every tool is scored 1–5 across six dimensions: Purpose Clarity (25%), Usage Guidelines (20%), Behavioral Transparency (20%), Parameter Semantics (15%), Conciseness & Structure (10%), and Contextual Completeness (10%). The server-level definition quality score is calculated as 60% mean TDQS + 40% minimum TDQS, so a single poorly described tool pulls the score down.

Server Coherence evaluates how well the tools work together as a set, scoring four dimensions equally: Disambiguation (can agents tell tools apart?), Naming Consistency, Tool Count Appropriateness, and Completeness (are there gaps in the tool surface?).

Tiers are derived from the overall score: A (≥3.5), B (≥3.0), C (≥2.0), D (≥1.0), F (<1.0). B and above is considered passing.

Tool Scores

  • Behavior1/5

    Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?

    No annotations are provided, so the description carries the full burden of behavioral disclosure. The description 'Get Artist name' doesn't reveal any behavioral traits—it doesn't mention whether this is a read-only operation, what authentication might be required, potential rate limits, error conditions, or what the response format looks like. For a tool with zero annotation coverage, this is completely inadequate.

    Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

    Conciseness2/5

    Is the description appropriately sized, front-loaded, and free of redundancy?

    While the description is brief with just two words, this represents under-specification rather than effective conciseness. The text doesn't earn its place by providing useful information—it's too sparse to be helpful. A truly concise description would still convey essential purpose and context efficiently, which this fails to do.

    Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

    Completeness1/5

    Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

    Given the tool's purpose (retrieving artist information) with no annotations and no output schema, the description is completely inadequate. It doesn't explain what the tool returns, how results are formatted, or any behavioral aspects. For a data retrieval tool, this leaves critical gaps that would hinder an AI agent's ability to use it effectively.

    Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

    Parameters3/5

    Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

    The description provides no information about parameters, but the input schema has 100% description coverage with a single parameter 'method' documented as 'Get or post request'. Since schema coverage is high, the baseline score is 3. The description doesn't add any value beyond what the schema already provides, but it also doesn't detract from the existing documentation.

    Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

    Purpose2/5

    Does the description clearly state what the tool does and how it differs from similar tools?

    The description 'Get Artist name' is a tautology that essentially restates the tool name 'get_artist' with minor variation. It doesn't specify what resource is being retrieved (e.g., artist information from a database, API, or service) or provide any meaningful context about the operation. While it includes a verb ('Get'), it lacks specificity about what exactly is being obtained beyond the obvious from the name.

    Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

    Usage Guidelines1/5

    Does the description explain when to use this tool, when not to, or what alternatives exist?

    There are no usage guidelines provided in the description. It doesn't indicate when to use this tool, what prerequisites might be needed, or any alternative approaches. With no sibling tools mentioned, the absence of guidance is still problematic as it leaves the agent without context for proper tool selection.

    Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

GitHub Badge

Glama performs regular codebase and documentation scans to:

  • Confirm that the MCP server is working as expected.
  • Confirm that there are no obvious security issues.
  • Evaluate tool definition quality.

Our badge communicates server capabilities, safety, and installation instructions.

Card Badge

SpotifyMCP MCP server

Copy to your README.md:

Score Badge

SpotifyMCP MCP server

Copy to your README.md:

Latest Blog Posts

MCP directory API

We provide all the information about MCP servers via our MCP API.

curl -X GET 'https://glama.ai/api/mcp/v1/servers/DivyamAgg24/SpotifyMCP'

If you have feedback or need assistance with the MCP directory API, please join our Discord server