Cue
MCP server for front-loading prompt engineering in agentic workflows.
Pricing
Free tier
Flat rate
Adoption
↘CoolingLicense
Open Source
Data freshness
Aging · Jun 8, 2026Overview
What is Cue?
The @manuelcattelan/cue is an MCP server designed to streamline prompt engineering, making it easier to integrate AI-driven workflows into development processes. It's particularly useful for teams looking to enhance their productivity with AI-assisted coding and workflow automation.
Key differentiator
“The @manuelcattelan/cue stands out as an open-source, self-hosted MCP server that focuses on front-loading prompt engineering in agentic workflows, offering a unique solution for developers who need flexibility and control.”
Capability profile
Capability Radar
Honest assessment
Strengths & Weaknesses
↑ Strengths
↓ Weaknesses
API requires Python-specific patterns, TypeScript SDK is community-maintained
v0.1 to v0.2 migration required rewriting chain definitions
Official docs lack detailed guides, community-contributed content is sparse
GitHub issues are not frequently addressed by maintainers, limited pull requests from contributors
Fit analysis
Who is it for?
✓ Best for
Teams looking to integrate AI-driven prompt engineering into their development processes
Projects requiring self-hosted solutions for MCP server functionality
Developers who need a GPL-3.0 licensed tool for agentic workflows
✕ Not a fit for
Users seeking cloud-based managed services for prompt engineering
Teams preferring proprietary licensing over open-source options
Cost structure
Pricing
Free Tier
Available
Open source — free to use
Starts at
$0
Model
Flat rate
Enterprise
None
Performance benchmarks
How Fast Is It?
Ecosystem
Relationships
Next step
Get Started with Cue
Step-by-step setup guide with code examples and common gotchas.