# repo-memory-mcp

> Use this tool when you need to share and synchronize engineering knowledge across multiple AI coding clients, such as Cursor and VS Code. It solves problems of fragmented code memory and inconsistent suggestions by providing a centralized MCP server for source-backed engineering memory. This tool takes in code data as input and outputs unified memory suggestions, ideal for use in collaborative coding environments.

Canonical page: https://skillsregistry.net/skills/andyast-repo-memory-mcp  
JSON: https://api.skillsregistry.net/v1/skills/andyast-repo-memory-mcp

## Description

MCP server for sharing source-backed engineering memory across AI coding clients like Cursor and VS Code.

## Trust

- **Trust score (0–1):** 0.78
- **Verification tier:** verified
- **Last scanned:** 2026-09-28

## Facts

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

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/ochwmj6tgo)
- **Repository:** <https://github.com/andyast/repo-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": "andyast-repo-memory-mcp"
    }
  }
}
```

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