# memro MCP Server

> Use this tool when you need to enable AI models to store and retrieve information for long-term context and knowledge retention. The memro MCP Server provides persistent memory through the memro protocol, solving problems of information loss and context switching in AI applications. It accepts episodic, semantic, and procedural information as input and outputs relevant data through semantic search and chronological memory management.

Canonical page: https://skillsregistry.net/skills/memrohq-memro-mcp  
JSON: https://api.skillsregistry.net/v1/skills/memrohq-memro-mcp

## Description

Provides persistent memory for AI models by enabling the storage and retrieval of episodic, semantic, and procedural information through the memro protocol. It allows assistants to maintain long-term context via semantic search and chronological memory management.

## Trust

- **Trust score (0–1):** 0.65
- **Verification tier:** scanned
- **Last scanned:** 2026-09-02

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** search
- **Updated:** 2026-09-02

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/up9cl503ja)
- **Repository:** <https://github.com/memrohq/memro-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": "memrohq-memro-mcp"
    }
  }
}
```

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