Alkemi Mcp

Name: Alkemi Mcp
Author: alkemi-ai

@alkemi-ai

About Alkemi Mcp

Integrate your Alkemi Data, connected to Snowflake, Google BigQuery, DataBricks and other sources, with your MCP Client.

#database #bigquery #snowflake #databricks #big-data

Basic information

Config

Add this server to your MCP-compatible client using the configuration below.

{
  "mcpServers": {
    "alkemi": {
      "command": "npx",
      "args": [
        "@alkemiai/alkemi-mcp"
      ],
      "env": {
        "BEARER_TOKEN": "<YOUR_TOKEN>"
      }
    }
  }
}

Tools

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Overview

What is Alkemi Mcp?

Alkemi Mcp is a STDIO wrapper for the Streamable HTTP MCP endpoint at https://api.alkemi.cloud/mcp that integrates Alkemi Data—connected to Snowflake, Google BigQuery, DataBricks and other sources—with any MCP Client. It uses Alkemi to store database metadata, generate proper queries, and query the database so teams can share consistent data-access capabilities. Get a free API key at datalab.alkemi.ai.

How to use Alkemi Mcp?

Install via npx @alkemiai/alkemi-mcp or build locally from the cloned repository. Add a configuration entry to your Claude Desktop claude_desktop_config.json, setting the required BEARER_TOKEN environment variable. Optionally set MCP_NAME to name the server or PRODUCT_ID to limit scope to a single product. Multiple Alkemi Mcp instances can be configured with different names and product IDs.

Key features of Alkemi Mcp

STDIO wrapper for the Streamable HTTP MCP endpoint
Stores database metadata for accurate query generation
Generates proper SQL queries automatically
Queries the underlying database on your behalf
Supports multiple database sources (Snowflake, BigQuery, DataBricks, etc.)
Allows sharing a single MCP Server across teammates

Use cases of Alkemi Mcp

Query databases without requiring users to know table schemas or SQL details
Share a single MCP Server so all teammates have the same data-query quality
Narrow scope to a specific product or dataset using PRODUCT_ID
Connect an MCP client to cloud data warehouses like Snowflake and BigQuery

FAQ from Alkemi Mcp

What is Alkemi Mcp and how does it differ from directly querying a database?

Alkemi Mcp uses Alkemi to store database metadata, generate proper queries, and execute them—removing the need to maintain schema information in every agent or MCP Client. This prevents wrong answers and scales better for teams sharing data.

How do I get an API key for Alkemi Mcp?

What environment variables are required?

The BEARER_TOKEN is required. MCP_NAME and PRODUCT_ID are optional (use MCP_NAME when configuring multiple instances to avoid duplicate names).

What runtime or dependencies are needed?

Alkemi Mcp runs via Node.js. It can be executed with npx (no local install) or built from the repository using npm install && npm run build. The server communicates over stdio.

How does authentication work for Alkemi Mcp?

Authentication is handled by setting the BEARER_TOKEN environment variable, which provides the bearer token for the underlying Streamable HTTP MCP endpoint.