# DebtStack MCP Server

> Use this tool when you need to analyze corporate credit data in real-time, such as screening companies by leverage or tracing corporate hierarchies. The DebtStack MCP Server provides access to debt structures, bond pricing, and guarantor chains extracted from SEC filings, enabling complex financial analysis. It accepts queries and returns detailed financial data, ideal for use cases requiring accurate and up-to-date corporate credit information.

Canonical page: https://skillsregistry.net/skills/debtstack-ai-debtstack-python  
JSON: https://api.skillsregistry.net/v1/skills/debtstack-ai-debtstack-python

## Description

Provides AI agents with real-time access to corporate credit data, including debt structures, bond pricing, and guarantor chains extracted from SEC filings. It enables complex financial analysis such as screening companies by leverage, tracing corporate hierarchies, and searching covenant language.

## Trust

- **Trust score (0–1):** 0.60
- **Verification tier:** unverified

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** ai-ml
- **Updated:** 2026-05-04

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/um1rcqriat)
- **Repository:** <https://github.com/debtstack-ai/debtstack-python>

## Use it

Resolve this record through the SkillsRegistry MCP server (no auth, read-only):

```
claude mcp add --transport http --scope user skillsregistry https://api.skillsregistry.net/mcp
```

```json
{
  "jsonrpc": "2.0",
  "id": 1,
  "method": "tools/call",
  "params": {
    "name": "get_skill",
    "arguments": {
      "slug": "debtstack-ai-debtstack-python"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/debtstack-ai-debtstack-python` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/debtstack-ai-debtstack-python/pull`

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SkillsRegistry indexes agent skills from public registries and GitHub. Skills we have analysed are scanned with Circle-IR and scored on six dimensions; each listing states its scan coverage. More: https://skillsregistry.net/llms.txt