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diggercamp MCP Server已验证已精选

@Tommaso Savorana (ti es)

基本信息

传输方式

Streamable HTTP

认证方式

OAuth

分类

媒体与设计

作者

Tommaso Savorana (ti es)

提交者

Tommaso

关于 diggercamp MCP Server

diggercamp finds independent music by how it sounds. Paste any Bandcamp, YouTube or SoundCloud link and get the closest sonic matches from 4M+ independent tracks — matched by rhythm, timbre, key and energy, not genre tags or popularity. 6 tools: find_similar, deep_match, surprise_me, playlist_match, inspire_me, generate_playlist. Works in Claude, ChatGPT and Grok.

#music#audio#discovery#similarity#dj#bandcamp#playlists#independent-music

连接信息

https://mcp.diggercamp.com/mcp

接入方式

claude mcp add diggercamp --transport http https://mcp.diggercamp.com/mcp

diggercamp MCP Server 工具

6

Find sonically similar tracks to a song (closest by sound). Paste a Bandcamp, YouTube or SoundCloud link.

Deep Match: technical match by rhythm, timbre and key — great for building DJ sets. Requires a Pro or Studio plan.

Surprise: sonically related tracks with wider variety / less obvious picks. Requires a Pro or Studio plan.

Find tracks that fit a SET of 2-8 tracks together (their combined sound / centroid), not similarity to a single seed. Pass 2-8 Bandcamp/YouTube/SoundCloud links.

Discovery: pick a starting track and show similar tracks. For signed-in users with search history the pick is personalised on their recent digs; spread controls how far to roam: familiar (right next to their digs), fresh (close relatives, default), adventurous (two hops out, same lineage but unexpected), random (the whole crate).

Generate and SAVE a playlist to the user's diggercamp account. It starts from a seed track and develops the set from there (energy and genre flow), optionally ending on a chosen track. Requires the user to be signed in to diggercamp. - url: seed track link (Bandcamp / YouTube / SoundCloud) — the playlist starts here. - n: number of tracks, 5 to 30 (default 15). - end_url: optional link of the track to END on. - vibe: optional one of warm_up, afterhours, yoga, focus, sunset (shapes the energy curve).

概览

What is diggercamp?

diggercamp is an AI music-discovery engine for independent music. It finds tracks by how they actually sound — rhythm, timbre, key, energy — not by genre tags, play counts or popularity. The catalogue covers 4M+ independent tracks from Bandcamp, curated YouTube channels and rare-record marketplaces, growing by ~200k tracks a week. No major-label catalogue, no chart noise.

This remote MCP server brings that engine into Claude, ChatGPT, Grok and any MCP-compatible client.

Tools

  • find_similar(url) — closest sonic matches to any Bandcamp / YouTube / SoundCloud link
  • deep_match(url) — technical match by rhythm, timbre and key; built for DJ sets (Pro/Studio)
  • surprise_me(url) — related tracks with wider variety, less obvious picks (Pro/Studio)
  • playlist_match(urls) — tracks that fit the combined sound of 2–8 tracks
  • inspire_me() — a random track from the crate plus its closest matches
  • generate_playlist(url, n, end_url, vibe) — builds and saves a playlist to your diggercamp account, with an energy arc and optional end track

Every result includes links to the source, plus BPM and Camelot key for mixing.

Setup

  1. Add the endpoint https://mcp.diggercamp.com/mcp as a custom connector in your client (Claude: Settings → Connectors → Add custom connector; Grok: grok.com/connectors → Custom; ChatGPT: app directory).
  2. Sign in with a free diggercamp account when prompted (OAuth).
  3. Ask for music that sounds like something you love.

Notes

  • Auth: OAuth 2.0/2.1 with PKCE — login happens on diggercamp's own page, the connector only receives a revocable token.
  • All tools are read-only except generate_playlist, which writes only to your own account.
  • Published on the official MCP Registry as com.diggercamp/music-similarity.
  • Docs & FAQ: diggercamp.com/faq · Support: info@diggercamp.com

常见问题

1

diggercamp 远程 MCP 服务器是什么?

diggercamp 的远程 MCP 服务器是一个托管的 Model Context Protocol 端点,地址是 https://mcp.diggercamp.com/mcp,AI 助手无需在本地安装或运行任何东西即可连接。

2

怎么连接 diggercamp 的 MCP 服务器?

把端点 https://mcp.diggercamp.com/mcp 添加到任意支持 MCP 的客户端,比如 Claude Code、Cursor 或 VS Code。本页的接入代码块可以一步配置好每个客户端。

3

diggercamp 的 MCP 服务器需要认证吗?

需要。diggercamp 使用 OAuth——第一次连接时,你的 MCP 客户端会打开浏览器窗口登录并授权,之后会复用这个凭证。

4

diggercamp 的 MCP 服务器用的是哪种传输方式?

diggercamp 暴露的是 Streamable HTTP 端点,这是远程 MCP 服务器普遍使用、主流客户端都支持的传输方式。

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