# memdata-mcp

> Use this tool when you need to persist and retrieve context across conversations, storing notes and decisions for seamless interaction. The memdata-mcp server enables semantic retrieval of stored data using API keys or x402 payments, solving problems of conversational continuity and knowledge retention. It accepts API keys or payment inputs and returns relevant context and notes as output.

Canonical page: https://skillsregistry.net/skills/thelabvenice-memdata-mcp  
JSON: https://api.skillsregistry.net/v1/skills/thelabvenice-memdata-mcp

## Description

MCP server for persistent memory, enabling AI agents to store and semantically retrieve notes, decisions, and context across conversations using API keys or x402 payments.

## Trust

- **Trust score (0–1):** 0.70
- **Verification tier:** verified
- **Last scanned:** 2026-08-31

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** finance
- **Updated:** 2026-08-31

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/rha7t32r06)
- **Repository:** <https://github.com/thelabvenice/memdata-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": "thelabvenice-memdata-mcp"
    }
  }
}
```

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

---
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