STATIONONE

What is STATIONONE?

StationONE (by Kochava) is an integrative AI desktop client that brings together models, tools, and data into a single workspace for building and running AI agents. It functions as an AI orchestration layer, connecting any large language model with external tools via Model Context Protocol (MCP) connectors.

How to use STATIONONE?

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Key features of STATIONONE

• Universal model support (multi-LLM, local + cloud)
• MCP marketplace for integrating tools and data sources
• Agent Forge for no-code workflow automation
• Workspace-based organization for context, prompts, and knowledge
• Local-first architecture for privacy, security, and performance

Use cases of STATIONONE

• Connect any LLM (OpenAI, Anthropic, local models) with external APIs and databases
• Build and run complex multi-step AI agent workflows without coding
• Organize AI projects into workspaces with shared context and prompts
• Execute local-first AI tasks with full data control and offline capability

FAQ from STATIONONE

What makes STATIONONE different from browser-based AI tools?

StationONE runs locally as a desktop app, giving users full control over data while acting as a central hub for AI-driven workflows and automation.

Which models does STATIONONE support?

StationONE supports any large language model, including OpenAI, Anthropic, and local models, via its universal model support.

How does STATIONONE connect to external tools?

It uses Model Context Protocol (MCP) connectors from its marketplace to bridge AI with real-world systems like APIs, databases, and SaaS apps.

Is STATIONONE cloud-based or local?

StationONE is local-first—it runs as a desktop application, prioritizing privacy, security, and performance.

Can I create automated workflows without coding?

Yes, the “Agent Forge” feature enables no-code creation of automated, multi-step workflows.