# mcp-memvid

> Use this tool when you need to manage and retain context across multiple sessions, enabling efficient information retrieval and semantic search. It solves problems of data loss and context switching, providing a seamless experience for Claude Code applications. The tool takes in code history and outputs compressed, searchable context, ideal for use cases requiring long-term memory and lossless data management.

Canonical page: https://skillsregistry.net/skills/stflj2022-mcp-memvid  
JSON: https://api.skillsregistry.net/v1/skills/stflj2022-mcp-memvid

## Description

Provides long-term memory and lossless context management for Claude Code, enabling automatic context compression, cross-session memory sharing, and semantic search across all history.

## Trust

- **Trust score (0–1):** 0.69
- **Verification tier:** scanned
- **Last scanned:** 2026-09-03

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** search
- **Updated:** 2026-09-03

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/x7wqnyqlo0)
- **Repository:** <https://github.com/stflj2022/mcp-memvid>

## 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": "stflj2022-mcp-memvid"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/stflj2022-mcp-memvid` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/stflj2022-mcp-memvid/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