# Universal AI Memory MCP Server

> Universal AI Memory MCP Server — vigneshsai890-universal-ai-memory. Use this tool when you need to securely store and manage sensitive data with fine-grained access controls, or when requiring entity extraction and vector persistence for AI applications. It solves problems related to data privacy, security, and management, providing a local-first approach to memory storage. The tool accepts encrypted payloads as input and offers read, write, and delete functionalities as output, making it ideal for use cases that demand high levels of data protection and control.

Canonical page: https://skillsregistry.net/skills/vigneshsai890-universal-ai-memory  
JSON: https://api.skillsregistry.net/v1/skills/vigneshsai890-universal-ai-memory

## Description

Provides a local-first secure memory store with encrypted payloads, entity extraction, and vector persistence, exposing read, write, and delete tools with granular capability controls.

## Trust

- **Trust score (0–1):** 0.70
- **Verification tier:** verified
- **Last scanned:** 2026-08-29

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** ai-ml
- **Updated:** 2026-08-29

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/uqgporcaou)
- **Repository:** <https://github.com/vigneshsai890/universal-ai-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": "vigneshsai890-universal-ai-memory"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/vigneshsai890-universal-ai-memory` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/vigneshsai890-universal-ai-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