# mcp-code-indexer-react-ts

> Use this tool when you need to efficiently query and analyze the structure of TypeScript, React, or Next.js codebases. It indexes repositories into a queryable code graph, solving problems such as finding references, identifying dead code, and detecting cycles, and provides outputs through 13 MCP tools with inputs via a graph query interface. This tool is ideal for use cases where agents need to quickly understand code relationships without reading entire files.

Canonical page: https://skillsregistry.net/skills/nishant-chaudhary5338-mcp-code-indexer  
JSON: https://api.skillsregistry.net/v1/skills/nishant-chaudhary5338-mcp-code-indexer

## Description

Indexes any TypeScript / React / Next.js repo into a queryable code graph and exposes 13 MCP tools — who-renders, who-calls, find-references, blast-radius, find-cycles, dead-code orphans, and local semantic search — so agents query structure instead of reading whole files. Built on ts-morph, so edges are resolved, not grepped.

## Trust

- **Trust score (0–1):** 0.68
- **Verification tier:** scanned
- **Last scanned:** 2026-08-30

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** search
- **Updated:** 2026-08-30

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/f5g072wi66)
- **Repository:** <https://github.com/Nishant-Chaudhary5338/mcp-code-indexer>

## 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": "nishant-chaudhary5338-mcp-code-indexer"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/nishant-chaudhary5338-mcp-code-indexer` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/nishant-chaudhary5338-mcp-code-indexer/pull`

---
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