This project has been archived by its maintainers, and is no longer receiving any updates.
Daydream
Daydream is an infrastructure knowledge graph builder, and an MCP server to enable your LLM-powered application to understand and query your infrastructure.
Installation
Prerequisites (Legacy - for reference only)
- Python 3.12 or higher
uvpackage manager
Install uv
On macOS:
brew install uv
For other platforms, follow the official uv installation guide.
Install Daydream (DEPRECATED)
Daydream is designed to be run using uvx, which comes with uv:
uvx daydream
That will automatically install daydream from PyPI in a virtualenv and then run it!
Setup Daydream
uvx daydream configure
Usage
Building the Graph
Before using Daydream, build your knowledge graph:
uvx daydream build-graph
To use a specific profile:
uvx daydream build-graph --profile your-graph-name
# Or set DAYDREAM_PROFILE=your-graph-name
Configure your client to use the MCP Server
Claude Desktop
On macOS:
uvx daydream configure
That will, among many other things, create or update the ~/Library/Application Support/Claude/claude_desktop_config.json file.
How Daydream Works
Daydream builds a knowledge graph of your infrastructure using a fairly simple inference strategy:
- Daydream queries the APIs of your integrated tools and retrieves all supported resources, and adds each one as a node in the knowledge graph.
- Daydream extracts unique identifiers and aliases for each retrieved resource, and adds them to a mapping.
- Daydream extracts potential references from each retrieved resource, and attempts to match them to identifiers and aliases in the mapping to create edges between nodes.
Once the graph is built, the MCP server provides a set of tools for traversing the graph and interacting with nodes.
Configuration
Authentication
Daydream uses your local credentials to access various platforms and tools. Make sure you have the necessary credentials configured:
- AWS Credentials: Configure using standard AWS credential methods (profiles,
aws configureCLI, EC2 ) - Aptible Credentials: Run
aptible loginto set up your Aptible credentials - Datadog Credentials: Add your Datadog API key and application key to your
config.yaml(see below)
config.yaml
Daydream can be configured using a config.yaml file in the ~/.daydream folder:
# Default configuration file location: ~/.daydream/profiles/default/config.yaml
plugins:
aptible:
enabled: true
aws:
enabled: true
# These are optional settings for AWS that enable you to specify an existing AWS profile on your system
# Daydream will use the credentials from that AWS profile to build the infrastructure graph and
# access CloudWatch metrics about resourse in the MCP server.
settings:
accounts:
dev-account:
profile: dev-engineering-readonly
core:
enabled: true
datadog:
enabled: true
settings:
api_key: <your datadog API key>
application_key: <your datadog application key>
graph:
enabled: true
logs:
enabled: false
metrics:
enabled: true
networking:
enabled: true
Plugins
Daydream supports various plugins to integrate with different platforms:
AWS Plugin
- Supports querying AWS resources across multiple regions
- Uses standard AWS credential resolution and profiles in config.yaml
- Supported resources: EC2, RDS, ALBs, ELBs, target groups
- Infers knowledge graph edges between services like ALBs, target groups, and EC2 instances
Aptible Plugin
- Integrates with Aptible platform
- Uses credentials from
~/.aptible/tokens.json, which is created byaptible login - Supports apps, databases, and environments
- Infers knowledge graph edges between Aptible and AWS resources
Datadog Plugin
- Integrates with your Datadog organization
- Uses the API key and application key configured in your
config.yaml - Supports importing your Datadog teams, services, systems, and other entities from your software catalog into your knowledge graph
Adding New Plugins
Plugins are managed in the src/daydream/plugins folder. The Aptible and AWS plugins are good examples for adding new resources to the graph and querying metrics.
Client Setup
We recommend using uvx daydream configure to configure clients like Claude Desktop or Amazon Q. This section has examples of configuring those manually...
Claude Desktop
- Create or edit
~/Library/Application Support/Claude/claude_desktop_config.json:
{
"mcpServers": {
"daydream": {
"command": "/opt/homebrew/bin/uvx",
"args": ["daydream", "start"],
"env": {
"HOME": "/Users/YOUR_USER"
}
}
}
}
Amazon Q
- Create or edit
~/.aws/amazonq/mcp.json:
{
"mcpServers": {
"daydream": {
"command": "/opt/homebrew/bin/uvx",
"args": ["daydream", "start"],
"env": {
"HOME": "/Users/YOUR_USER"
}
}
}
}
AWS Vault Integration
If you prefer to use aws-vault (or another similar tool) instead of daydream's configuration directly, you can use a configuration like this:
{
"mcpServers": {
"daydream": {
"command": "aws-vault",
"args": ["exec", "YOUR_AWS_PROFILE", "--", "/opt/homebrew/bin/uvx", "daydream", "start", "--disable-sse"]
}
}
}
Metadata
Release files for daydream 0.2.0a25
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | |
|---|---|---|---|
| daydream-0.2.0a25.tar.gz | 509.7 kB | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| daydream-0.2.0a25-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 627.2 kB
Release files / daydream-0.2.0a25.tar.gz
| Download URL | daydream-0.2.0a25.tar.gz |
|---|---|
| Size | 509.7 kB |
| Tags | Source |
|
SHA-256 checksum How to use checksums |
20f9da5a22394425d03fecf4b49733ddfc93bcfc1ca366633e1e6e7d2e587138
|
|
BLAKE2b-256 checksum How to use checksums |
73603c1387897191ad4d00bcb396d7ec9dc3ac44188e5f8d07dbf0bb7253650c
|
| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
uv/0.8.11
|
Release files / daydream-0.2.0a25-py3-none-any.whl
| Download URL | daydream-0.2.0a25-py3-none-any.whl |
|---|---|
| Size | 117.5 kB |
| Tags | Python 3 |
|
SHA-256 checksum How to use checksums |
4bbe7b1f692fe6647b1483e80dbad1d86dc3ec5f825e376d5103e526d7973bee
|
|
BLAKE2b-256 checksum How to use checksums |
bcfa89462091195357349cf6720193b6432ddded6ec07b155c0b1c6b5c95ca95
|
| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
uv/0.8.11
|