# SocratiCode

> Use this tool when you need to efficiently navigate and understand large, complex codebases, or when you require advanced code search and dependency analysis capabilities. SocratiCode solves problems related to code discovery, dependency mapping, and knowledge retrieval, providing managed indexing, hybrid semantic search, and polyglot code dependency graphs. It is ideal for use cases involving massive enterprise-grade codebases, offering a private and local solution with significant performance improvements over standard AI-powered grep tools.

Canonical page: https://skillsregistry.net/skills/giancarloerra-socrati-code  
JSON: https://api.skillsregistry.net/v1/skills/giancarloerra-socrati-code

## Description

Enterprise-grade (40m+ lines) codebase intelligence in a zero-setup, private and local MCP: managed indexing, hybrid semantic search, polyglot code dependency graphs, and DB/API/infra knowledge. Benchmark: 61% less tokens, 84% fewer calls, 37x faster than standard AI grep.

## Trust

- **Trust score (0–1):** 0.60
- **Verification tier:** scanned
- **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/u6biarpwxr)
- **Repository:** <https://github.com/giancarloerra/SocratiCode>

## 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": "giancarloerra-socrati-code"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/giancarloerra-socrati-code` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/giancarloerra-socrati-code/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