# tsconfig-inheritance-flattener-mcp

> tsconfig-inheritance-flattener-mcp — vola-trebla-tsconfig-inheritance-flattener-mcp. Use this tool when you need to resolve complex TypeScript config inheritance chains and validate project references. It takes TypeScript config files as input and outputs the effective compiler options, resolved path aliases, and validated project references. Ideal for AI agents requiring a clear understanding of TypeScript project configurations to inform development, debugging, or optimization decisions.

Canonical page: https://skillsregistry.net/skills/vola-trebla-tsconfig-inheritance-flattener-mcp  
JSON: https://api.skillsregistry.net/v1/skills/vola-trebla-tsconfig-inheritance-flattener-mcp

## Description

Resolves TypeScript config inheritance chains to reveal effective compiler options, resolves path aliases to physical files, and validates project references for AI agents.

## Trust

- **Trust score (0–1):** 0.70
- **Verification tier:** verified
- **Last scanned:** 2026-09-03

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** ai-ml
- **Updated:** 2026-09-03

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/y7fj91v20s)
- **Repository:** <https://github.com/vola-trebla/tsconfig-inheritance-flattener-mcp>

## 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": "vola-trebla-tsconfig-inheritance-flattener-mcp"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/vola-trebla-tsconfig-inheritance-flattener-mcp` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/vola-trebla-tsconfig-inheritance-flattener-mcp/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