# RushDB

> Use this tool when you need to efficiently store and query complex data relationships without extensive configuration. RushDB solves problems of data management and querying for applications with interconnected data, such as social networks, recommendation systems, and knowledge graphs. It provides a simple interface for ingesting and querying graph data, making it ideal for rapid development and prototyping in AI, SaaS, and other fast-paced environments.

Canonical page: https://skillsregistry.net/skills/rush-db-rushdb  
JSON: https://api.skillsregistry.net/v1/skills/rush-db-rushdb

## Description

Zero-config graph DB for builders, AI agents, and SaaS teams who move fast

## Trust

- **Trust score (0–1):** 0.90
- **Verification tier:** verified
- **Last scanned:** 2026-09-28

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** database
- **Updated:** 2026-09-28

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/a08vjzkyk0)
- **Repository:** <https://github.com/rush-db/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": "rush-db-rushdb"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/rush-db-rushdb` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/rush-db-rushdb/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