heltonlabs.com

What It Is

Helton Labs offers a set of native tools for macOS and iOS, positioned around “local-first” and “wired for AI through MCP.” Judging from the main website copy, its focus is not a general-purpose cloud SaaS product, but rather keeping personal data in local SQLite databases and connecting to AI workflows such as Claude through MCP.

Core Features and Ecosystem

The currently listed projects include three products: ContextSwitch, a kanban and journaling tool with a built-in MCP server; Evergreen, a local-first personal CRM; and Lexicon, an AI prompt library with MCP support and Claude slash commands. Overall, the suite is suitable for personal knowledge management, prompt management, lightweight tasks/journaling, and relationship management. Supported platforms are clearly stated as macOS and iOS. Log titles mention SwiftUI and SwiftData, but the main copy does not formally specify the tech stack or supported framework scope.

Privacy, Deployment, and Openness

Helton Labs has a very clear philosophy: local-first, data stored in SQLite on the device, no cloud, no telemetry, and no keys. This is appealing for users who do not want to sync personal information, prompts, or work logs to the cloud. However, the website does not state whether the projects are open source, nor does it mention any self-hosted backend. Based on the text, these appear to be local apps rather than deployable services.

Pricing and Ease of Use

The pricing information is relatively straightforward: ContextSwitch is free, Evergreen costs $9.99, and Lexicon costs $1.99/month. Given the local-first approach and MCP integration, the entry cost is low. However, “Access is limited. By referral.” indicates restricted access and a referral requirement, which may affect new users’ ability to try the products. In terms of documentation, the captured copy only includes project archive entries and several log links, with little detail on installation, APIs, troubleshooting, or support policies.

Pros, Cons, and Who It’s For

The strengths are clear privacy boundaries, a focused Apple-native ecosystem, and practical MCP/Claude integration. It is well suited to developers and personal productivity users who value local data and already use Claude. The downsides are limited public information, obvious platform restrictions, uncertain access requirements, and no disclosure around open source status, SDKs, payment methods, or service support. The main copy provides no basis for judging accessibility from China, and both network access and payment availability are unknown. If access is limited, users may need to consider alternative tools for local notes, kanban, CRM, or prompt management.