# Memo MCP

> Use this tool when you need to efficiently search and retrieve specific information from personal journal entries or add new entries to a knowledge base. Memo MCP solves problems related to information retrieval and knowledge management by utilizing Retrieval-Augmented Generation (RAG) and providing features like date filtering and multiple vector stores. It takes in search queries and new entry inputs, and outputs relevant journal entries, making it ideal for use cases requiring personalized information retrieval and organization.

Canonical page: https://skillsregistry.net/skills/milasd-memo-mcp  
JSON: https://api.skillsregistry.net/v1/skills/milasd-memo-mcp

## Description

Enables LLMs to search and retrieve personal journal entries using RAG, and add new entries with date filtering and multiple vector stores.

## Trust

- **Trust score (0–1):** 0.37
- **Verification tier:** scanned
- **Last scanned:** 2026-09-03

## Facts

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

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/vo1joehkx3)
- **Repository:** <https://github.com/milasd/Memo-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": "milasd-memo-mcp"
    }
  }
}
```

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