EM Data MCP

300+ EM HY issuers.One Claude query.

EM Data MCP puts EM HY USD corporate credit fundamentals — LatAm, MENA, Turkey, India, APAC, Central Asia, and Africa — inside Claude. Sourced from filings. Cited to the page. No PDF uploads.

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Built natively on Claude, via the Model Context Protocol (MCP).
claude — em-data-mcp
> What was Petra Foods' net debt to EBITDA in FY2023?
net_debt$412MAR 2023, p.84
ebitda$118MAR 2023, p.91
leverage3.49xvs 4.1x prior yr
200 issuers · 7 regions · every point cited
“The data behind every adjustment your analysts make.”
Walkthrough

See EM Data MCP inside Claude

A live walkthrough of how an analyst pulls capital structure, peer comps, and debt maturity data without leaving Claude.

Build a peer table of LatAm HY telecom issuers by net leverage and EBITDA margin.
Show the capital structure and 2025–2027 debt maturity schedule for [Issuer].
Reconcile reported to adjusted EBITDA for [Issuer], with citations.
Why It’s Different

Filing-native. Asset-class deep.

Most data layers bolt EM onto a generic global dataset. This one is built around what EM HY credit desks actually spread.

Sourced From Filings, Not the Open Web

Every figure traces back to a company filing, press release, or investor presentation, with a page-level citation attached.

Built for EM HY Credit, Not Spread Thin

200+ issuers across LatAm, MENA, Turkey, India, APAC, Central Asia, and Africa. Depth in one asset class, not shallow coverage of everything.

Structured for Credit Work, Not Just Lookups

Peer tables, capital structure, EBITDA reconciliation, and debt maturity schedules, generated inside Claude. No PDF uploads, no manual spreading.

Structured, Auditable EM Credit Data, Inside Your AI Workflow

Connected to Claude. Ask the way you’d ask a colleague. Get structured data with source references, no SQL, no pivot tables.

Built for the Asset Class
Covers the filing formats and disclosure structures EM credit analysts actually work with.
200+
Issuers Covered
7+
Regions
LatAm, MENA, Turkey, India, APAC, Central Asia, Africa
Page-Level
Citations on Every Data Point
Use Cases

Built for the four things credit desks do every week

01

Peer Tables

Build EM HY credit comps across issuers and regions in one query. No manual spreading.

02

Capital Structure Analysis

Full capital stack, from secured debt to equity, cited to the underlying filing.

03

EBITDA Reconciliation

Reported to adjusted, reconciled and sourced, without rebuilding it from scratch.

04

Debt Maturity & Schedule Analysis

Maturity walls and schedules across the capital structure, ready for monitoring.

Security

Built for institutional use

EM Data MCP connects to Claude as a read-only data source. Access is gated per firm through pilot onboarding.

Read-Only Access

No write access to Claude or firm systems.

Per-Firm Gated Access

Controlled onboarding, firm-level isolation.

Filing-Sourced Only

Every data point traces to a primary source.

No PDF Uploads Needed

Data pre-structured, instantly queryable.

Get Started

Interested in EM Data MCP?

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Ask a question

See it in action.
Get a sourced answer.

Every response includes the filing reference — document name and page number — so you know exactly where the number came from before it goes into your model.

lean-research / query
› What was Petra Foods' net debt to EBITDA in FY2023?
net_debt$412M// AR 2023, p.84
ebitda$118M// AR 2023, p.91 (adjusted)
leverage3.49x// vs 4.1x prior year
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We're onboarding EM credit analysts and portfolio managers in the order requests come in. The more we know about your workflow, the better we can prioritise coverage for you.

  • 100 EM HY companies covered today
  • Adding 25 companies per week
  • You can request issuers or regions to prioritise
  • No commitment on application
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