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Credits.fm

Credits.fm is a public MCP server that lets AI agents look up and resolve music credits and identifiers in real time. It supports fast searches and normalization across core music IDs including ISRC, ISWC, IPI, ISNI, and UPC, helping agents match recordings to works and rightsholders with higher confidence. Use it to enrich metadata, validate identifiers, and power music-aware workflows without authentication. Designed for lightweight, high-signal lookups that can be embedded directly into agent tools and automations.

View in the Claude registry
Integration type
Connector
Verification status
Community connector
Platform
Claude
Category
Data & Analytics

The broad Category that contains the Primary Subcategory.

Primary Subcategory
Song ID & Lyrics Utilities

The Primary Subcategory used for this profile’s headline score.

Secondary Subcategories
None listed

Other Subcategories where the Integration is visible.

Access
No account required
First tracked
2026-06-26
Tool count
14
Geography
US

Claude Discoverability Score

Live · refreshed daily. Last refreshed

Credits.fm in Song ID & Lyrics Utilities

0/100
Invisible

#3of 4competitors

This is the score for the Integration’s Primary Category, Song ID & Lyrics Utilities. Credits.fm's tools align with this Category, which is why we measure it here. Claude did not find it in connector search, show it in the connector picker, or invoke it in the measured contested Runs. That is why the score is 0.

How this score is measured

What we measure

One core score. Three important factors to discoverability.

  • Picked

    · 0/100
    Sets the score
  • Found

    · 0/100
    Diagnostic
  • Positioned

    · 0/100
    Diagnostic
Primary Subcategory
2 scoredVerified connectors by score · Community connectors A–Z
Primary Subcategory
1Melon100/100
2Spotify100/100
Credits.fmOrganic discovery is pending verificationGet notified when verified
FreqBlog Music MetadataOrganic discovery is pending verificationGet notified when verified
Score explained

What does 0/100 mean?

0 is Credits.fm's rounded picker appearance rate. It appeared in the connector picker, or Claude invoked it directly, in 0% of contested conversations. All three measures are important to discoverability: Picked determines the headline score, Found shows how often Claude found Credits.fm in connector search, and Positioned shows where it appeared in the picker.

InvisibleBuriedEmergingCompetitiveWinning

Credits.fm is 10 points from Buried.

FoundDiagnostic

Whether Claude found your Connector in connector search. It must be Found before it can reach the picker, but the score counts picker appearances—not search results.

PickedMain score

How often your Connector appeared in the picker, or Claude invoked it directly, across contested conversations. This percentage is the Discoverability Score; the headline number is rounded.

PositionedDiagnostic

What position your Connector appeared in when it was shown in the picker. This shows prominence, but it does not affect the score.

Read the full scoring methodologyRecommended guideHow to get your Claude Connector organically discoveredFollow the practical steps agents use to find, shortlist, and choose your Connector.
Tools

14 tools agents can invoke

Credits.fm FAQ
How do I improve a Community connector's discoverability?

The levers are the listing surface agents actually read: names, descriptions, keywords, tool metadata, and registry health. Which lever matters depends on where discovery breaks, which is what continuous measurement shows.

What are Credits.fm alternatives on Claude?

As of 2026-08-14, Credits.fm competes with Melon, Spotify, FreqBlog Music Metadata in Claude Song ID & Lyrics Utilities, ranked by public Discoverability Score.

Where does Credits.fm rank in Song ID & Lyrics Utilities on Claude?

As of 2026-08-14, Credits.fm ranks #3 of 4 in Claude Song ID & Lyrics Utilities with a Discoverability Score of 0/100 (Invisible).

Where is this profile measured?

This profile uses the geography attached to the latest public registry snapshot: US. Locale tags are intentionally omitted.