DebtStack.Ai
io.github.marcellusgreen/debtstack-ai is a MCP server that lets agents query corporate credit data including bonds, leverage, guarantors, and SEC filings.
About
io.github.marcellusgreen/debtstack-ai is a Model Context Protocol server branded DebtStack.ai that connects coding agents to corporate credit intelligence: bond structures, leverage metrics, guarantor relationships, and SEC filing context. developers exploring fintech niches, credit risk dashboards, or B2B research agents often waste hours manually pulling EDGAR snippets and normalizing capital-structure fields. Registering this MCP server lets Claude Code or Cursor query a dedicated credit API through tools instead of brittle scrape scripts. The package ships on PyPI as debtstack-ai at early version 0.1.5, so expect evolving schemas and credential requirements from the upstream service. Intermediate complexity reflects finance domain literacy plus API keys. It is a data integration MCP, not a general securities trading terminal or personal finance planner.
- Corporate credit data API exposed as MCP for AI agents
- Data themes: bonds, leverage, guarantors, SEC filings
- PyPI package debtstack-ai with stdio transport (DebtStack.ai)
- Server version 0.1.5 in MCP registry metadata
- Suited to credit-analysis copilots rather than retail budgeting apps
DebtStack.Ai by the numbers
- Data as of Jul 7, 2026 (Skillselion catalog sync)
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| Package | debtstack-ai |
|---|---|
| Transport | STDIO |
| Auth | None |
What it does
Let an agent pull corporate credit facts—bonds, leverage, guarantors, and SEC filings—while researching B2B or fintech ideas.
Who is it for?
Best when you're prototyping credit research agents, due-diligence assistants, or fintech MVPs grounded in public company obligations.
Skip if: Consumer debt payoff apps, live trading execution, or teams that cannot use external finance APIs.
What you get
After registration, your agent can call DebtStack.ai credit tools during research sessions instead of hand-building SEC and leverage data fetchers.
- Agent-callable corporate credit and filing queries via MCP
- Faster issuer and leverage research loops during ideation
- Structured data hooks for downstream Build-phase dashboards or APIs
By the numbers
- Advertised data domains: bonds, leverage, guarantors, SEC filings
- Server version 0.1.5
- PyPI identifier debtstack-ai, stdio transport
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FAQ
Who is io.github.marcellusgreen/debtstack-ai for?
Developers and analysts using AI agents who need corporate credit and SEC-oriented datasets for research or fintech prototypes.
When should I use io.github.marcellusgreen/debtstack-ai?
Use it during Idea research when evaluating issuers, leverage, guarantors, or filing-backed narratives before you hard-code a data pipeline.
How do I add io.github.marcellusgreen/debtstack-ai to my agent?
Install the PyPI package debtstack-ai, add a stdio MCP server block in Claude Code or Cursor, configure any DebtStack API credentials required by the upstream service, then invoke credit tools from chat.