# AST-Indexer MCP Server

> Use this tool when you need to index and query large Git repositories with precise code analysis, solving problems of code discovery and navigation for JavaScript, TypeScript, C#, and SQL codebases. It takes in Git repository data and outputs indexed code structures, including functions, classes, and SQL schema objects, through the Model Context Protocol (MCP) interface. This enables efficient querying and exploration of complex codebases, making it ideal for use cases like code refactoring, debugging, and knowledge retrieval.

Canonical page: https://skillsregistry.net/skills/jaccoklouwer-ast-indexer  
JSON: https://api.skillsregistry.net/v1/skills/jaccoklouwer-ast-indexer

## Description

AST-Indexer is a Model Context Protocol (MCP) server for indexing Git repositories with AST parsing. It extracts functions, classes, imports, variables, and SQL schema objects from JavaScript, TypeScript, C#, and SQL codebases so they can be queried through MCP tools.

## Trust

- **Trust score (0–1):** 0.66
- **Verification tier:** scanned
- **Last scanned:** 2026-08-31

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** database
- **Updated:** 2026-08-31

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/her2n30rax)
- **Repository:** <https://github.com/jaccoklouwer/ast-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": "jaccoklouwer-ast-indexer"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/jaccoklouwer-ast-indexer` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/jaccoklouwer-ast-indexer/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