spotify-mcp
This MCP server lets an AI agent control Spotify — playback, search, queue, library, and playlists via the Spotify Web API.
Playback Control: Get current track info, start/resume playback, pause, skip tracks (with optional number of skips), go to the previous track, seek to a specific position, and set playback volume.
Search: Find tracks, albums, artists, or playlists with configurable result type and limit.
Queue Management: View the current playback queue or add a specific track to the queue.
Item Details: Retrieve detailed information about a track, album, artist, or playlist by URI (artist info includes albums and top tracks; albums/playlists include their tracks).
Library Management: List liked/saved tracks, save tracks to, or remove tracks from the library.
Playlist Management: List playlists, create new playlists, add or remove tracks, and delete (unfollow) playlists.
Allows controlling Spotify playback (start, pause, skip), searching for tracks/albums/artists/playlists, retrieving detailed info about music entities, and managing the Spotify queue.
Click on "Install Server".
Wait a few minutes for the server to deploy. Once ready, it will show a "Started" state.
In the chat, type
@followed by the MCP server name and your instructions, e.g., "@spotify-mcpplay my Discover Weekly playlist"
That's it! The server will respond to your query, and you can continue using it as needed.
Here is a step-by-step guide with screenshots.
spotify-mcp
An MCP (Model Context Protocol) server that lets an AI agent such as Claude control Spotify — playback, search, queue, library, and playlists — through the Spotify Web API. Built on spotipy.
Table of Contents
Related MCP server: Spotify MCP Server
Overview
spotify-mcp exposes Spotify as a set of MCP tools so that an agent can start and control playback, search the catalog, manage the queue, curate your saved tracks, and build playlists on your behalf. It runs locally over stdio and talks to Spotify using your own developer credentials.
The server is organized into small, single-responsibility modules and authenticates lazily: it starts without contacting Spotify and only builds an authenticated client the first time a tool is actually called. A separate CLI command handles the one-time OAuth authorization, so the server itself never needs an interactive browser flow.
This is a personal, actively-maintained fork of varunneal/spotify-mcp.
Features
Playback control: start, pause, skip, previous, seek, and set volume
Search for tracks, albums, artists, and playlists
Get detailed info about a track, album, artist, or playlist
Manage the playback queue (add, get)
Manage your library: list, save, and remove liked tracks
Manage playlists: list, create, add/remove tracks, and delete
Lazy authentication with a dedicated
spotify-mcp-authCLI for first-time login
Available tools
The server exposes six domain-grouped tools. Most take an action argument.
Tool | Actions | Notes |
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Playback and queue actions target the active Spotify device and require Premium. Search, get-info, library, and playlist management work without an open device.
Demo
Make sure to turn on audio.
Getting started
Prerequisites
Python 3.12 or newer
uv (recommended
>= 0.54)A Spotify account. Spotify Premium is required for playback control (search, library, and playlist management work without Premium).
A Spotify developer application (see below)
Create a Spotify app
Sign in at developer.spotify.com/dashboard and create an app.
Set the redirect URI to
http://127.0.0.1:8888. You may choose any port, but Spotify now requires the loopback IP127.0.0.1for HTTP redirects —localhostis rejected as insecure.Under the app's API settings, enable Web API.
While the app is in Development Mode, add the Spotify account you will authorize with under User Management. Accounts that are not on this list are rejected during authorization with a
server_error.Copy the Client ID and Client Secret.
Install and register the server
Clone the repository:
git clone https://github.com/chienchuanw/spotify-mcp.gitRegister it as an MCP server in your client. For the Claude desktop app, edit the config file:
macOS:
~/Library/Application Support/Claude/claude_desktop_config.jsonWindows:
%APPDATA%/Claude/claude_desktop_config.json
"spotify": {
"command": "uv",
"args": [
"--directory",
"/path/to/spotify-mcp",
"run",
"spotify-mcp"
],
"env": {
"SPOTIFY_CLIENT_ID": "YOUR_CLIENT_ID",
"SPOTIFY_CLIENT_SECRET": "YOUR_CLIENT_SECRET",
"SPOTIFY_REDIRECT_URI": "http://127.0.0.1:8888"
}
}Configuration
The server reads three variables, from the MCP client env block above or from a .env file in the project root:
Variable | Required | Description |
| yes | Client ID from your Spotify app |
| yes | Client Secret from your Spotify app |
| yes | Must exactly match the redirect URI configured in the dashboard, e.g. |
Example .env:
SPOTIFY_CLIENT_ID=your_client_id
SPOTIFY_CLIENT_SECRET=your_client_secret
SPOTIFY_REDIRECT_URI=http://127.0.0.1:8888First-time authorization
Because the MCP server communicates over stdio, it cannot run the interactive OAuth flow itself. Authorize once with the bundled CLI, which opens your browser and captures the redirect on a local server:
uv --directory /path/to/spotify-mcp run spotify-mcp-authThis caches an access/refresh token. The server then reads that cached token and refreshes it automatically. Re-run spotify-mcp-auth only if you revoke access or change scopes. If your account is not on the app's allowlist, the command prints guidance on how to fix it instead of a traceback.
Project structure
src/spotify_mcp/
__init__.py entry points: main() (server) and auth_main() (auth CLI)
server.py MCP wiring — list_tools / call_tool dispatch to the registry
tools.py tool schemas (Pydantic) + per-domain handlers + registry
client.py SpotifyClient facade over spotipy + the @validate decorator
parsers.py pure functions that narrow Spotify's verbose JSON
auth.py OAuth config, SCOPES, lazy get_client() factory, auth CLI
errors.py exception -> user-facing message formatting
tests/ pytest suite, mocks spotipy (no network, no credentials)
docs/ design spec, implementation plan, and session status filesKey design points:
Lazy auth — the Spotify client is built on first use via
get_client(), never at import time, so the server starts without credentials and only touches Spotify when a tool is called.@validate— decorates playback/queue methods to refresh the token if expired and inject a candidate device when none is active. Catalog, library, and playlist calls are intentionally undecorated because they need no device.Layered boundaries —
serverknows nothing of Spotify,toolshandlers know nothing of the MCP session, andclientknows nothing of MCP types. Each layer is unit-testable in isolation.
Development
Install dependencies (including the dev group) and run the test suite:
uv sync
uv run pytestThe tests mock spotipy and never touch the real Spotify API, so no credentials are needed to run them.
You can also inspect the server interactively with the MCP Inspector:
npx @modelcontextprotocol/inspector uv --directory /path/to/spotify-mcp run spotify-mcpTroubleshooting
Make sure
uvis up to date (>= 0.54recommended).Ensure the client has execution permissions for the project:
chmod -R 755 /path/to/spotify-mcp.Playback control requires Spotify Premium and an active device — open Spotify (desktop app, phone app, or the web player at open.spotify.com) and start playing so a device is available.
redirect_uri: insecureduring authorization means you are usinglocalhost; switch both the dashboard andSPOTIFY_REDIRECT_URItohttp://127.0.0.1:8888.server_error/access_deniedduring authorization usually means your account is not on the app's User Management allowlist while the app is in Development Mode.The server logs to stderr per the MCP spec. On macOS, the Claude desktop app writes these to
~/Library/Logs/Claude. See the MCP logging docs for other platforms.
Contributing
Contributions are welcome. Fork the repository, create a feature branch off dev, run the test suite (uv run pytest), and open a pull request against dev.
Deprecated Spotify recommendation endpoints are out of scope. Possible future work includes paginated search/playlist/album results and a deployment story for ephemeral (uvx) usage.
License
Released under the MIT License. This project is derived from the original spotify-mcp by Varun Srivastava, also MIT-licensed; the original copyright notice is retained in the LICENSE file.
Available Tools
6 toolsSpotifyGetInfoC
Get detailed info about a Spotify item (track, album, artist, or playlist).
| Name | Required | Description | Default |
|---|---|---|---|
| item_uri | Yes | URI like 'spotify:track:...'. artist->albums+top tracks; album/playlist->tracks. |
TDQS
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
No annotations provided. The description does not disclose side effects, permissions, or error behavior. The schema description for item_uri hints at different behavior for artist vs. album/playlist, but the description itself adds no behavioral context.
Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.
Is the description appropriately sized, front-loaded, and free of redundancy?
The description is very concise (one sentence) but lacks important details about output or usage. It is not overly verbose, but it sacrifices completeness for brevity.
Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.
Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?
No output schema exists, yet the description does not elaborate on what 'detailed info' includes. The schema partially fills this gap for item_uri, but the description itself is insufficient for the tool's complexity.
Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.
Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?
The description adds little beyond the schema: 'Spotify item (track, album, artist, or playlist)'. The schema already describes item_uri as a URI and outlines type-specific behavior. The addition is minimal.
Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.
Does the description clearly state what the tool does and how it differs from similar tools?
The description clearly states the tool retrieves detailed info about a Spotify item and lists the item types (track, album, artist, playlist). It distinguishes from siblings like SpotifySearch (searching) and SpotifyLibrary (library management) by focusing on getting details by URI.
Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.
Does the description explain when to use this tool, when not to, or what alternatives exist?
No guidance on when to use this tool versus siblings. No mention of prerequisites like needing a valid URI or when to prefer other tools for different operations (e.g., SpotifySearch for finding items).
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
SpotifyLibraryB
Manage saved (liked) tracks. - get_liked: list saved tracks. - save / remove: add or remove track_ids from the library.
| Name | Required | Description | Default |
|---|---|---|---|
| limit | No | Max items for 'get_liked'. | |
| action | Yes | 'get_liked', 'save', or 'remove'. | |
| track_ids | No | Track IDs for 'save'/'remove'. |
TDQS
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
With no annotations, the description should disclose behavioral traits like authentication, rate limits, or mutability. It only says 'manage' without detailing that save/remove are write operations. Minimal transparency.
Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.
Is the description appropriately sized, front-loaded, and free of redundancy?
The description is extremely short and front-loaded with the purpose. Every sentence adds value with zero waste.
Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.
Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?
No output schema and incomplete behavioral context. Does not explain what get_liked returns or what save/remove return. Lacks completeness for a tool without annotations or output schema.
Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.
Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?
Schema descriptions cover all parameters (100%) and are clear. The tool description adds no extra value beyond summarizing the schema, so baseline 3 is appropriate.
Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.
Does the description clearly state what the tool does and how it differs from similar tools?
The description clearly states it manages saved (liked) tracks and lists the actions. It implicitly differentiates from sibling tools (playlist, search, etc.) but does not explicitly differentiate.
Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.
Does the description explain when to use this tool, when not to, or what alternatives exist?
The description lists available actions but provides no explicit guidance on when to use this tool versus alternatives like SpotifySearch or SpotifyPlaylist. Usage is inferred from context.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
SpotifyPlaybackA
Manage playback: get current track, start/resume, pause, skip, previous, seek, set volume. - get: info about the current track. - start: play spotify_uri, or resume if omitted. - pause / skip / previous. - seek: jump to position_ms. - volume: set volume_percent (0-100).
| Name | Required | Description | Default |
|---|---|---|---|
| action | Yes | One of: get, start, pause, skip, previous, seek, volume. | |
| num_skips | No | Number of tracks to skip for 'skip'. | |
| position_ms | No | Target position for 'seek', in ms. | |
| spotify_uri | No | URI for 'start'. If omitted, resumes. | |
| volume_percent | No | Volume 0-100 for 'volume'. |
TDQS
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
No annotations are provided, but the description does not disclose side effects (e.g., pausing interrupts playback), prerequisites (e.g., active device), or error conditions. It only describes what each action does without deeper behavioral context.
Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.
Is the description appropriately sized, front-loaded, and free of redundancy?
The description is concise with bullet points for actions, but it repeats the same information in the first paragraph and the schema's description field. It is mostly efficient but could be more streamlined.
Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.
Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?
The description covers all actions and basic parameter usage, but lacks mention of prerequisites or error handling. For a tool with multiple actions and no output schema, it provides adequate but not deep completeness.
Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.
Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?
Schema description coverage is 100%, and the tool description repeats parameter info (e.g., 'seek: jump to position_ms'). The description adds minimal extra meaning beyond the schema, so baseline 3 is appropriate.
Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.
Does the description clearly state what the tool does and how it differs from similar tools?
The description clearly states the tool manages playback with specific actions (get, start, pause, skip, previous, seek, volume), distinguishing it from siblings like SpotifyGetInfo and SpotifyQueue. Each action is briefly explained.
Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.
Does the description explain when to use this tool, when not to, or what alternatives exist?
The description provides context for when to use each action (e.g., 'start: play spotify_uri, or resume if omitted'). However, it does not explicitly state when not to use the tool or mention alternatives like SpotifyQueue for queue management.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
SpotifyPlaylistA
Manage playlists. - list: the current user's playlists. - create: make a new playlist (name required). - add_tracks / remove_tracks: modify a playlist's items (playlist_id + track_ids required). - delete: remove a playlist from your library (playlist_id required). Spotify has no hard delete; this unfollows it, which removes owned playlists from your view.
| Name | Required | Description | Default |
|---|---|---|---|
| name | No | Name for 'create'. | |
| action | Yes | 'list', 'create', 'add_tracks', 'remove_tracks', or 'delete'. | |
| public | No | Whether a created playlist is public. | |
| track_ids | No | Track IDs for add/remove. | |
| description | No | Description for 'create'. | |
| playlist_id | No | Playlist ID for add/remove. |
TDQS
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
With no annotations, the description must disclose behavioral traits. It does clarify the delete nuance (unfollow vs hard delete). However, it omits details on authentication requirements, rate limits, or side effects of other actions (e.g., adding tracks may have ownership/duplicate implications).
Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.
Is the description appropriately sized, front-loaded, and free of redundancy?
The description is extremely concise, using a bullet list to present actions. It is front-loaded with the overall purpose and each sentence earns its place. Zero waste.
Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.
Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?
Given the tool's complexity (6 parameters, multiple actions) and lack of output schema, the description covers the main operations but does not specify return values or error behavior. An AI agent might need more detail on what each action returns (e.g., list returns playlist objects) for proper invocation.
Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.
Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?
Schema coverage is 100%, so baseline is 3. The description adds value by relating parameters to specific actions (e.g., name required for create, track_ids for add/remove). This contextual grouping enhances understanding beyond the schema's per-parameter descriptions.
Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.
Does the description clearly state what the tool does and how it differs from similar tools?
The description clearly states the tool manages playlists and lists five specific actions (list, create, add_tracks, remove_tracks, delete) with brief explanations. This provides a specific verb-resource mapping and distinguishes the tool from siblings by its focus on playlist operations.
Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.
Does the description explain when to use this tool, when not to, or what alternatives exist?
The description provides clear context for each action, including required parameters (e.g., name for create, playlist_id for delete). It notes that delete unfollows rather than permanently removes. However, it does not explicitly state when not to use this tool or compare with alternatives like SpotifySearch for finding tracks.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
SpotifyQueueB
Manage the playback queue - get the queue or add a track.
| Name | Required | Description | Default |
|---|---|---|---|
| action | Yes | 'add' or 'get'. | |
| track_id | No | Track ID to add (required for 'add'). |
TDQS
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
No annotations are provided, so the description bears full responsibility. It only mentions basic actions (get/add) without disclosing side effects, permissions, rate limits, or return behavior. This is minimal disclosure.
Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.
Is the description appropriately sized, front-loaded, and free of redundancy?
The description is a single, concise sentence that immediately conveys the tool's purpose without any extraneous words.
Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.
Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?
Given no output schema and lacking annotations, the description should cover expected return for 'get', error cases, and any limits. It only states the actions, leaving significant behavioral gaps.
Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.
Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?
Schema coverage is 100%, and the schema already describes both parameters sufficiently (action as 'add' or 'get', track_id for add). The description adds no additional meaning beyond what is in the schema.
Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.
Does the description clearly state what the tool does and how it differs from similar tools?
The description clearly states the tool manages the playback queue with two specific actions: get or add a track. This distinguishes it from sibling tools like SpotifyPlayback (playback control) and SpotifyPlaylist (playlist management).
Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.
Does the description explain when to use this tool, when not to, or what alternatives exist?
The description implies usage for getting queue or adding a track but does not provide explicit when to use vs. alternatives or any prerequisites. No guidance on exclusion conditions.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
SpotifySearchC
Search for tracks, albums, artists, or playlists on Spotify.
| Name | Required | Description | Default |
|---|---|---|---|
| limit | No | Max number of items to return. | |
| qtype | No | track, album, artist, playlist, or comma-separated. | track |
| query | Yes | query term |
TDQS
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
With no annotations, the description must disclose behavioral traits. It only says 'Search for...' but does not mention that the operation is read-only, what data is returned, pagination, or any side effects. This is insufficient for an agent to understand the tool's behavior.
Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.
Is the description appropriately sized, front-loaded, and free of redundancy?
The description is a single sentence that directly states the purpose. It is as concise as possible, though it could benefit from front-loading the most critical information. Every word is used efficiently.
Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.
Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?
Given the lack of output schema and annotations, the description is incomplete. It does not explain the return format, error scenarios, or authentication requirements, leaving an agent with insufficient context for reliable invocation.
Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.
Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?
The input schema has full description coverage: each parameter is documented. The tool description adds no extra meaning beyond the schema. Thus the baseline of 3 applies.
Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.
Does the description clearly state what the tool does and how it differs from similar tools?
The description clearly states the action (search) and the resources (tracks, albums, artists, playlists) which distinguishes it from sibling tools like SpotifyGetInfo. However, it is very brief and does not elaborate on the scope or types of search, lacking the specificity of high-scoring examples.
Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.
Does the description explain when to use this tool, when not to, or what alternatives exist?
No guidance is provided on when to use this tool versus alternatives (e.g., when to use SpotifyPlaylist instead). There is no mention of prerequisites, exclusions, or context for use.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
Tool Schema Changelog
Recent tool additions, removals, and schema changes observed during successful MCP inspections. Dates show when Glama detected each change.
6 tool updates
v0.3.0- Changed
SpotifyGetInfo2 fields changed- changed
Input schema / descriptionPrevious value: -"Get detailed information about a Spotify item (track, album, artist, or playlist)."New value: +"Get detailed info about a Spotify item (track, album, artist, or playlist)." - changed
Input schema / properties / item_uri / descriptionPrevious value: -"URI of the item to get information about. If 'playlist' or 'album', returns its tracks. If 'artist', returns albums and top tracks."New value: +"URI like 'spotify:track:...'. artist->albums+top tracks; album/playlist->tracks."
- Added
SpotifyLibrary - Changed
SpotifyPlayback6 fields changed- changed
Input schema / descriptionPrevious value: -"Manages the current playback with the following actions:\n- get: Get information about user's current track.\n- start: Starts playing new item or resumes current playback if called with no uri.\n- pause: Pauses current playback.\n- skip: Skips current track."New value: +"Manage playback: get current track, start/resume, pause, skip, previous, seek, set volume.\n- get: info about the current track.\n- start: play spotify_uri, or resume if omitted.\n- pause / skip / previous.\n- seek: jump to position_ms.\n- volume: set volume_percent (0-100)." - changed
Input schema / properties / action / descriptionPrevious value: -"Action to perform: 'get', 'start', 'pause' or 'skip'."New value: +"One of: get, start, pause, skip, previous, seek, volume." - changed
Input schema / properties / num_skips / descriptionPrevious value: -"Number of tracks to skip for `skip` action."New value: +"Number of tracks to skip for 'skip'." - added
Input schema / properties / position_msAdded value: +{ + "anyOf": [ + { + "type": "integer" + }, + { + "type": "null" + } + ], + "default": null, + "description": "Target position for 'seek', in ms.", + "title": "Position Ms" +} - changed
Input schema / properties / spotify_uri / descriptionPrevious value: -"Spotify uri of item to play for 'start' action. If omitted, resumes current playback."New value: +"URI for 'start'. If omitted, resumes." - added
Input schema / properties / volume_percentAdded value: +{ + "anyOf": [ + { + "type": "integer" + }, + { + "type": "null" + } + ], + "default": null, + "description": "Volume 0-100 for 'volume'.", + "title": "Volume Percent" +}
- Added
SpotifyPlaylist - Changed
SpotifyQueue3 fields changed- changed
Input schema / descriptionPrevious value: -"Manage the playback queue - get the queue or add tracks."New value: +"Manage the playback queue - get the queue or add a track." - changed
Input schema / properties / action / descriptionPrevious value: -"Action to perform: 'add' or 'get'."New value: +"'add' or 'get'." - changed
Input schema / properties / track_id / descriptionPrevious value: -"Track ID to add to queue (required for add action)"New value: +"Track ID to add (required for 'add')."
- Changed
SpotifySearch2 fields changed- changed
Input schema / properties / limit / descriptionPrevious value: -"Maximum number of items to return"New value: +"Max number of items to return." - changed
Input schema / properties / qtype / descriptionPrevious value: -"Type of items to search for (track, album, artist, playlist, or comma-separated combination)"New value: +"track, album, artist, playlist, or comma-separated."
4 tool updates
v0.2.0- First observed
SpotifyGetInfo - First observed
SpotifyPlayback - First observed
SpotifyQueue - First observed
SpotifySearch
TDQS
Each tool targets a distinct area of Spotify: info retrieval, library management, playback, playlists, queue, and search. No overlap in functionality.
All tool names follow a consistent PascalCase pattern with the prefix 'Spotify' and a noun indicating the function (e.g., SpotifyGetInfo, SpotifyPlayback).
With 6 tools, the server is well-scoped, covering the core Spotify operations without being too sparse or overloaded.
The tool set covers essential operations like search, get info, library, playlists, playback, and queue. Minor gaps such as editing playlist details or recommendations are missing, but core workflows are complete.
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