# codebase-memory-mcp

> codebase-memory-mcp — 0ctacity-codebase-memory-mcp. Use this tool when you need to search and analyze large codebases with multiple repositories, to solve problems like finding specific code patterns, identifying dependencies, and understanding complex software architectures. It provides native graph, vector, full-text, and cross-repository search capabilities, accepting git repositories as input and outputting relevant code intelligence. This tool is ideal for developers and engineers working with multiple codebases, requiring efficient and accurate code search and analysis.

Canonical page: https://skillsregistry.net/skills/0ctacity-codebase-memory-mcp  
JSON: https://api.skillsregistry.net/v1/skills/0ctacity-codebase-memory-mcp

## Description

Persistent code intelligence for MCP with native graph, vector, full-text, and cross-repository search.

## Trust

- **Trust score (0–1):** 0.50
- **Verification tier:** unverified

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** container
- **Runtime environment:** vm
- **License:** MIT
- **Updated:** 2026-09-21

## Source

- **Source listing:** [GitHub](https://github.com/0ctacity/codebase-memory-mcp)

## 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": "0ctacity-codebase-memory-mcp"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/0ctacity-codebase-memory-mcp` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/0ctacity-codebase-memory-mcp/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