How do I install DreamFactory MCP?
Clone the repo, run `npm install` then `npm run build`. Add the server configuration to Claude Desktop’s developer settings and set the required environment variables.
@dreamfactorysoftware
Basic information
DreamFactory MCP Server enables AI assistants like Claude to directly query your databases through DreamFactory's auto-generated REST APIs.
Add this server to your MCP-compatible client using the configuration below.
{
"mcpServers": {
"add": {
"command": "node",
"args": [
"/Users/dreamfactory/Documents/df-mcp/build/index.js"
],
"env": {
"DREAMFACTORY_URL": "https://example.dreamfactory.com/api/v2/<service-name>",
"DREAMFACTORY_API_KEY": ""
}
}
}
}Tool list not available yet
This listing does not currently have a tool list to display. This does not mean the server has no tools; check its documentation for supported capabilities.
We auto-extract tools from the README. The maintainer can list them under a ## Tools heading to populate this section.
DreamFactory MCP is a Model Context Protocol (MCP) server that integrates DreamFactory with Claude Desktop. It allows users to access DreamFactory’s API capabilities directly through Claude’s interface.
Clone the repository, install dependencies with npm install, build with npm run build, then configure Claude Desktop’s claude_desktop_config.json to point to the built index.js and set the DREAMFACTORY_URL and DREAMFACTORY_API_KEY environment variables. Restart Claude Desktop to enable the server.
Clone the repo, run `npm install` then `npm run build`. Add the server configuration to Claude Desktop’s developer settings and set the required environment variables.
You must set `DREAMFACTORY_URL` (your DreamFactory instance URL including service name) and `DREAMFACTORY_API_KEY` (your API key).
The server itself does not store data; it communicates with a remote DreamFactory instance specified by the user.
The README does not specify the transport protocol. It runs as a subprocess of Claude Desktop via a `node` command.

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