# CodeGraph Memory MCP Lite

> Use this tool when you need to efficiently search and analyze code repositories, extract Python symbols, and visualize import graphs. It solves problems related to code discovery, repository navigation, and dependency understanding, providing valuable insights for research and development. The tool takes in local code repositories as input and outputs searchable file indexes, symbol extracts, and graph visualizations.

Canonical page: https://skillsregistry.net/skills/starymoon-codegraph-memory-mcp-lite  
JSON: https://api.skillsregistry.net/v1/skills/starymoon-codegraph-memory-mcp-lite

## Description

Local-first MCP-style code memory for research repositories: enables file search, Python symbol extraction, import graph, and repo context packs.

## Trust

- **Trust score (0–1):** 0.70
- **Verification tier:** verified
- **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/cofsth35o5)
- **Repository:** <https://github.com/StaryMoon/codegraph-memory-mcp-lite>

## 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": "starymoon-codegraph-memory-mcp-lite"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/starymoon-codegraph-memory-mcp-lite` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/starymoon-codegraph-memory-mcp-lite/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