# MCP Indexer

> Use this tool when you need to efficiently search and discover code across multiple repositories using natural language queries. The MCP Indexer solves problems of manual code searching, symbol lookup, and dependency analysis, enabling AI coding agents to work more effectively. It takes in natural language queries as input and outputs relevant code results, making it ideal for use cases involving large-scale codebases and cross-repository dependencies.

Canonical page: https://skillsregistry.net/skills/gkatechis-mcpindexer  
JSON: https://api.skillsregistry.net/v1/skills/gkatechis-mcpindexer

## Description

Enables semantic code search across multiple repositories using natural language queries. Provides intelligent code discovery, symbol lookups, and cross-repo dependency analysis for AI coding agents.

## Trust

- **Trust score (0–1):** 0.70
- **Verification tier:** verified
- **Last scanned:** 2026-09-28

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** search
- **Updated:** 2026-09-28

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/ef7fg25mcn)
- **Repository:** <https://github.com/gkatechis/Scout>

## 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": "gkatechis-mcpindexer"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/gkatechis-mcpindexer` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/gkatechis-mcpindexer/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