# Sovereign Universal Memory MCP

> Use this tool when you need to enable seamless knowledge sharing and context management across multiple AI platforms, solving issues of data siloing and vendor lock-in. It provides a persistent memory layer that allows for structured memory storage and recall through hybrid semantic search, with inputs of raw data and outputs of assembled context. Use it in contexts where local data ownership and cross-platform collaboration are crucial.

Canonical page: https://skillsregistry.net/skills/nnaveenraju-sovereign-universal-memory-mcp  
JSON: https://api.skillsregistry.net/v1/skills/nnaveenraju-sovereign-universal-memory-mcp

## Description

Provides a persistent, vendor-neutral memory layer that allows AI tools and agents to share context and knowledge across different platforms while maintaining local data ownership. It enables users to store, recall, and manage structured memories through hybrid semantic search and automated context assembly.

## Trust

- **Trust score (0–1):** 0.93
- **Verification tier:** verified
- **Last scanned:** 2026-09-19

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** search
- **Updated:** 2026-09-19

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/r89te1puqd)
- **Repository:** <https://github.com/nnaveenraju/sovereign-universal-memory-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": "nnaveenraju-sovereign-universal-memory-mcp"
    }
  }
}
```

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