# MemorizedMCP

> MemorizedMCP — perkyzz999-memorizedmcp. Use this tool when you need to enhance AI agents with advanced memory capabilities, combining knowledge graphs, vector embeddings, and full-text search to accurately recall documents and semantic relationships. It solves problems of information retrieval and knowledge management, providing a local-first MCP server for efficient data access. Ideal for use cases requiring robust and flexible memory systems, such as natural language processing and knowledge graph-based applications.

Canonical page: https://skillsregistry.net/skills/perkyzz999-memorizedmcp  
JSON: https://api.skillsregistry.net/v1/skills/perkyzz999-memorizedmcp

## Description

MemorizedMCP delivers a high‑performance, local‑first MCP Server in Rust that equips AI agents with an advanced hybrid memory system. It combines a knowledge graph, vector embeddings, and full‑text search with a novel documentary memory capability, enabling accurate recall of exact documents alongside rich semantic relationships.

## Trust

- **Trust score (0–1):** 0.54
- **Verification tier:** scanned
- **Last scanned:** 2026-09-28

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** container
- **Runtime environment:** vm
- **License:** MIT
- **Updated:** 2026-09-28

## Source

- **Source listing:** [GitHub](https://github.com/PerkyZZ999/MemorizedMCP)

## 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": "perkyzz999-memorizedmcp"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/perkyzz999-memorizedmcp` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/perkyzz999-memorizedmcp/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