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MSCI

The MSCI Connector provides access to an expanding range of MSCI AI-enabled data and analytics capabilities. Based on entitlements users can investigate index performance characteristics such as country, sector and factor exposures, constituent weights and methodologies and explore private assets market trends, performance benchmarking and holdings and risk factors. Clients can also analyze portfolio risk analytics and factor exposures and explore and assess companies on key sustainability and climate (S&C) metrics including ESG Ratings, controversies, business involvement screening, and emissions. The connector is designed for investment professionals who require transparent, methodology-aligned data to support portfolio construction, risk analysis, attribution, exposure analysis, sustainability and climate analysis and private assets research.

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

The broad Category that contains the Primary Subcategory.

Primary Subcategory
Institutional Financial Data & Equity Research Platforms

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

Secondary Subcategories
Regulated-Industry Compliance & Regulatory Research

Other Subcategories where the Integration is visible.

Brand
MSCI
Access
Account required
First tracked
2026-02-16
Tool count
26
Geography
US

Claude Discoverability Score

Live · refreshed daily. Last refreshed

MSCI in Institutional Financial Data & Equity Research Platforms

0/100
Invisible

#20of 46competitors

This is the score for the Integration’s Primary Category, Institutional Financial Data & Equity Research Platforms. MSCI'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
#20 of 46ranked by public Discoverability Score
Primary Subcategory
1Daloopa76/100
2FactSet AI-Ready Data36/100
3FMP33/100
4Alpha Vantage MCP Server30/100
5Quartr21/100
20MSCI0/100
Score explained

What does 0/100 mean?

0 is MSCI'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 MSCI in connector search, and Positioned shows where it appeared in the picker.

InvisibleBuriedEmergingCompetitiveWinning

MSCI 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

26 tools agents can invoke

MSCI FAQ
How do I improve a Verified 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 MSCI alternatives on Claude?

As of 2026-08-14, MSCI competes with Daloopa, FactSet AI-Ready Data, FMP, Alpha Vantage MCP Server, Quartr, Bigdata.com, S&P - Deterministic Retrieval, S&P Global - Adaptive Retrieval, Fiscal.ai, LSEG, Aiera, viaNexus vAST, Moody's Credit MCP, Pinegap, D&B Finance Analytics, Fitch Solutions, ICE Data Services, Morningstar, Morningstar Credit Analytics, MT Newswires, Bull AI, CardoAI ABF MCP, Clarifo, Clarity AI, Cognitive Credit, CredCore - Tusk Liquid, FinancialFilings, FINTRX, In Practise, Kepler, MetricDuck, Multiples.vc, PrivCo, Revelata deepKPI, SPACInsider, SPARK by SILEX, Speeda, Stocklake, Theia Insights, TipRanks Financial Data, Token Terminal, Trata, TreasurySpring, Twelve Data, Wisesheets in Claude Institutional Financial Data & Equity Research Platforms, ranked by public Discoverability Score.

Where does MSCI rank in Institutional Financial Data & Equity Research Platforms on Claude?

As of 2026-08-14, MSCI ranks #20 of 46 in Claude Institutional Financial Data & Equity Research Platforms 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.