Daydreams
Daydreams is a set of tools for building agents for commerce
What is Daydreams?
Daydreams is a Model Context Protocol (MCP) server that allows AI assistants like Claude, Cursor, and VS Code to daydreams is a set of tools for building agents for commerce
Daydreams is a set of tools for building agents for commerce
This server falls under the Business Applications category on MCPgee, the world's largest MCP server directory with 33,000+ servers.
Features
- Daydreams is a set of tools for building agents for commerce
Use Cases
Maintainer
Works with
Installation
Manual Installation
npx daydreamsConfiguration
Configuration Details
claude_desktop_config.json
Performance
Response Metrics
Resource Usage
How to Set Up and Use Daydreams
Daydreams is a TypeScript-first AI agent framework centered on composable context architecture, letting developers build scalable agents for commerce, gaming, and on-chain applications by composing isolated context modules that combine memory, actions, and instructions. It provides a Dreams Router that serves as a universal AI gateway for OpenAI, Anthropic, Google, Groq, and others with USDC micropayment support, and integrates natively with Model Context Protocol servers via a createMcpExtension helper. Teams building autonomous commerce agents or on-chain workflows use it to avoid the context-switching and state-management problems that plague traditional agent architectures.
Prerequisites
- Node.js 18 or later and a package manager (npm, pnpm, or bun)
- TypeScript project setup
- API key for at least one supported LLM provider (OpenAI, Anthropic, Google, Groq, etc.)
- Optional: a funded wallet and Base Sepolia RPC endpoint for x402 micropayment features
- An MCP client or server if using the MCP integration extension
Install the core Daydreams package
Add the @daydreamsai/core package to your TypeScript project.
npm install @daydreamsai/core
# or
pnpm add @daydreamsai/coreInstall optional extensions
Add the MCP extension to connect your Daydreams agent to external MCP servers, or the ai-sdk-provider for Dreams Router access.
npm install @daydreamsai/mcp @daydreamsai/ai-sdk-providerCreate an agent with a context
Define a context with state, actions, and instructions, then create an agent using createDreams. The model can be any AI SDK-compatible provider.
import { createDreams, context, action } from "@daydreamsai/core";
import { openai } from "@ai-sdk/openai";
const myContext = context({
type: "support",
create: () => ({ tickets: [] }),
}).setActions([
action({
name: "createTicket",
schema: { issue: z.string() },
handler: async ({ issue }, ctx) => {
ctx.memory.tickets.push(issue);
return { created: true };
},
}),
]);
const agent = createDreams({
model: openai("gpt-4o"),
contexts: [myContext],
});Add MCP server integration (optional)
Use createMcpExtension to connect your Daydreams agent to any external MCP server for filesystem, database, or tool access.
import { createMcpExtension } from "@daydreamsai/mcp";
const agent = createDreams({
model: openai("gpt-4o"),
extensions: [
createMcpExtension([
{ name: "filesystem", command: "npx", args: ["-y", "@modelcontextprotocol/server-filesystem", "/workspace"] }
])
],
contexts: [myContext],
});Send a message to the agent
Invoke the agent by sending a structured input targeting a context and its arguments.
await agent.send({
context: myContext,
args: { customerId: "user-123" },
input: "I need help with my recent order",
});Daydreams Examples
Client configuration
Package.json dependency block and minimal agent bootstrap for a Daydreams TypeScript project.
{
"dependencies": {
"@daydreamsai/core": "latest",
"@daydreamsai/mcp": "latest",
"@ai-sdk/openai": "latest",
"zod": "^3"
}
}Prompts to try
Example agent tasks and integration ideas that showcase Daydreams' composable context model.
- Build a customer support agent that composes an analytics context and a ticketing context into a single conversation
- Create an on-chain commerce agent that accepts USDC micropayments via the Dreams Router
- Connect a Daydreams agent to a filesystem MCP server to let it read and write project files autonomously
- Compose a research context and a writing context so the agent gathers data then drafts a report in one session
- Use dreamsRouter to route requests across OpenAI, Anthropic, and Groq automatically based on availabilityTroubleshooting Daydreams
Agent framework described in the README is marked as obsolete
The repository README notes the core agent framework is no longer the primary focus. For new projects the maintainers recommend the lucid-agents repo (https://github.com/daydreamsai/lucid-agents) combined with the Pi agent harness for the agent runtime.
MCP extension fails to connect to the external server
Verify the command and args in createMcpExtension exactly match how you would run the MCP server from the terminal. The extension spawns the server as a child process, so the binary must be accessible on PATH.
TypeScript compilation errors with zod schema in action definitions
Ensure zod 3.x is installed and that you import z from 'zod'. The action schema parameter expects a Zod object schema, not a plain object literal.
Frequently Asked Questions about Daydreams
What is Daydreams?
Daydreams is a Model Context Protocol (MCP) server that daydreams is a set of tools for building agents for commerce It connects AI assistants to external tools and data sources through a standardized interface.
How do I install Daydreams?
Follow the installation instructions on the Daydreams GitHub repository. Clone the repo, install dependencies, and add the server config to your AI client.
Which AI clients work with Daydreams?
Daydreams works with all major MCP-compatible AI clients including Claude Desktop, Claude Code, Cursor, VS Code (GitHub Copilot), Windsurf, and Cline.
Is Daydreams free to use?
Yes, Daydreams is open source and available under the MIT license. You can use it freely in both personal and commercial projects.
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