# mempalace memory

> Use this tool when you need to create a personalized memory storage system with semantic search capabilities. It solves problems related to information organization and retrieval, allowing users to store and search data in a cloud-based memory palace with AI-powered embeddings. The tool accepts API key authentication and provides per-user memory drawers with search functionality, making it ideal for use cases that require secure and efficient data management.

Canonical page: https://skillsregistry.net/skills/farr1102work-bzcc-mempalace-memory  
JSON: https://api.skillsregistry.net/v1/skills/farr1102work-bzcc-mempalace-memory

## Description

https://mempalace-mcp.vercel.app/ — Register or sign in here first to create your API key (mpk_...).

mempalace memory is the hosted MCP layer from the mempalace (Memory Palace) project: per-user memory drawers (wing/room), semantic search on Cloudflare (D1 + Vectorize + Workers AI embeddings). MCP endpoint: https://glidepath.dpdns.org/mcp . Authenticate with Authorization: Bearer <key> or X-Mempalace-Api-Key (for Smithery Session Config / gateways). MIT license. In-server docs: MCP resources under docs://mempalace-memory/* (getting-started, authentication, tools-reference, data-model, troubleshooting).

## Trust

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

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** cloud-infra
- **Updated:** 2026-05-11

## Source

- **Source listing:** [Smithery](https://smithery.ai/server/farr1102work-bzcc/mempalace-memory)

## 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": "farr1102work-bzcc-mempalace-memory"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/farr1102work-bzcc-mempalace-memory` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/farr1102work-bzcc-mempalace-memory/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