# Alkemi

> Use this tool when you need to enable AI clients to query databases using natural language questions, accessing exposed API endpoints and database metadata stored in Alkemi's cloud service. It solves problems of complex database querying and schema management, providing a simple STDIO interface for inputting natural language queries and outputting relevant data. Ideal for teams that require consistent database querying capabilities across multiple AI agents, supporting authentication and scoping for secure and controlled access.

Canonical page: https://skillsregistry.net/skills/alkemi-data  
JSON: https://api.skillsregistry.net/v1/skills/alkemi-data

## Description

A STDIO wrapper for Alkemi's Streamable HTTP MCP endpoint that enables AI clients to query databases using natural language questions and access exposed API endpoints. Built by Alkemi.ai, it acts as a proxy server that connects to Alkemi's cloud service at api.alkemi.cloud/mcp, which stores database metadata and generates proper queries for data sources like Snowflake, Google BigQuery, and DataBricks. The implementation supports bearer token authentication, product-specific scoping, and can be configured for multiple instances, making it useful for teams that need to share consistent database querying capabilities across different AI agents without maintaining schema information in each client.

## Trust

- **Trust score (0–1):** 0.97
- **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:** [PulseMCP](https://www.pulsemcp.com/servers/alkemi-data)
- **Repository:** <https://github.com/alkemi-ai/alkemi-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": "alkemi-data"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/alkemi-data` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/alkemi-data/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