# Membase MCP Server

> Use this tool when you need to persist AI agent memory across sessions, ensuring continuity and personalization for users. It solves the problem of data loss between interactions by storing and retrieving memory on the Unibase DA network. The Membase MCP Server takes in AI agent data as input and outputs persisted memory, making it ideal for applications requiring long-term user context and personalized experiences.

Canonical page: https://skillsregistry.net/skills/unibaseio-membase-mcp  
JSON: https://api.skillsregistry.net/v1/skills/unibaseio-membase-mcp

## Description

Enables AI agents to store and retrieve memory persistently on the Unibase DA network, ensuring continuity and personalization across sessions.

## Trust

- **Trust score (0–1):** 0.69
- **Verification tier:** scanned
- **Last scanned:** 2026-09-01

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** ai-ml
- **Updated:** 2026-09-01

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/gm3iww2wem)
- **Repository:** <https://github.com/unibaseio/membase-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": "unibaseio-membase-mcp"
    }
  }
}
```

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