# memspace

> memspace — likhinmn-memspace. Use this tool when you need to quickly index your codebase and enable AI assistants to understand your projects. It solves navigation and understanding problems by providing a fast and efficient way to index code using the Model Context Protocol (MCP). Ideal for use with git-based projects, memspace takes in code repositories as input and outputs a navigable index for AI assistants.

Canonical page: https://skillsregistry.net/skills/likhinmn-memspace  
JSON: https://api.skillsregistry.net/v1/skills/likhinmn-memspace

## Description

A fast codebase indexer that helps AI assistants understand and navigate your projects using the Model Context Protocol (MCP)

## Trust

- **Trust score (0–1):** 0.99
- **Verification tier:** verified
- **Last scanned:** 2026-09-28

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** container
- **Runtime environment:** vm
- **License:** MIT
- **Updated:** 2026-09-28

## Source

- **Source listing:** [GitHub](https://github.com/LikhinMN/memspace)

## 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": "likhinmn-memspace"
    }
  }
}
```

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