# @vemdev/mcp-server

> Use this tool when you need to provide AI agents with persistent memory for projects, enabling them to recall tasks, track decisions, and search context. It solves problems of data loss and inconsistency by allowing agents to sync snapshots to the cloud. The tool accepts task inputs and decision records, and outputs searchable context and synchronized project snapshots.

Canonical page: https://skillsregistry.net/skills/vem-dev-mcp-server  
JSON: https://api.skillsregistry.net/v1/skills/vem-dev-mcp-server

## Description

Gives AI agents durable project memory via the Model Context Protocol, allowing them to read tasks, record decisions, search context, and sync snapshots to the cloud.

## Trust

- **Trust score (0–1):** 0.69
- **Verification tier:** scanned
- **Last scanned:** 2026-08-31

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** ai-ml
- **Updated:** 2026-08-31

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/g59dlfm4ih)
- **Repository:** <https://github.com/vem-dev/mcp-server>

## 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": "vem-dev-mcp-server"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/vem-dev-mcp-server` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/vem-dev-mcp-server/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