# @rosalinddb/mcp

> Use this tool when you need to efficiently manage and query large vector datasets, or when you want to optimize costs for similarity searches and data ingestion. It enables AI clients to create datasets, ingest vectors, run similarity queries, and track usage on a cost-optimized vector search database. Ideal for applications requiring scalable and cost-effective vector search capabilities.

Canonical page: https://skillsregistry.net/skills/desquaredp-rosalinddb-mcp  
JSON: https://api.skillsregistry.net/v1/skills/desquaredp-rosalinddb-mcp

## Description

Model Context Protocol server for RosalindDB, enabling AI clients to create datasets, ingest vectors, run similarity queries, and check usage on a cost-optimized vector search database.

## 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:** database
- **Updated:** 2026-09-01

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/dm3ii8zewi)
- **Repository:** <https://github.com/rosalinddb/rosalinddb-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": "desquaredp-rosalinddb-mcp"
    }
  }
}
```

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