# @manasdb/mcp-server

> Use this tool when you need to enhance your AI assistant's memory capabilities, enabling it to store and retrieve information across multiple databases. It solves problems of data fragmentation and retrieval inefficiency by providing a unified, semantic vector search-based interface. With inputs of memory data and outputs of retrieved information, it's ideal for use cases requiring persistent memory and knowledge retention in MCP-compatible AI systems.

Canonical page: https://skillsregistry.net/skills/manasdb-mcp-server  
JSON: https://api.skillsregistry.net/v1/skills/manasdb-mcp-server

## Description

Provides a plug-and-play persistent memory layer for MCP-compatible AI assistants, enabling them to store, retrieve, and delete memories across multiple databases simultaneously using semantic vector search.

## Trust

- **Trust score (0–1):** 0.68
- **Verification tier:** scanned
- **Last scanned:** 2026-09-01

## Facts

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

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/v8s6yntp4x)
- **Repository:** <https://github.com/manasdb/mcp-server>

## 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": "manasdb-mcp-server"
    }
  }
}
```

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