OrbitalMCP is the AI Token Optimizer for all developers. We provide automatic 20-25% token savings through the built-in AI chat interface, seamless MCP server management across all your machines, and 50+ ready-to-use automation workflows - works with multiple AI providers including Claude, OpenAI, Gemini, and OpenRouter.
Problem 1: AI API costs add up fast. Heavy users of AI services can spend $100-300/month on API fees. Every prompt costs money, and longer prompts cost more across all services.
Problem 2: MCP configuration is tedious. Setting up MCP servers on every machine, keeping them in sync, and managing credentials is painful. Switch computers and you have to reconfigure everything manually.
Problem 3: Building workflows from scratch is slow. Every team reinvents the same automation patterns instead of using proven, battle-tested templates.
Install the OrbitalMCP VS Code extension once. It automatically solves all three problems:
Our AI Token Optimizer provides cost reduction through the built-in AI chat interface. Here's how it works:
The optimizer uses an intelligent compression system built into the OrbitalMCP AI Chat window:
The AI Token Optimizer works through the OrbitalMCP AI Chat window in the VS Code sidebar. Select your preferred AI provider (Claude, OpenAI, Gemini, or OpenRouter), and every message is automatically compressed before being sent. This consistent approach delivers reliable 20-25% token savings across all supported providers.
The OrbitalMCP AI Chat window is available immediately when you install the OrbitalMCP VS Code extension. Simply:
Toolchains let you create sophisticated multi-step workflows that your AI assistant can execute as a single operation. Instead of manually coordinating multiple tool calls, you define a sequence once and reuse it in every AI session.
Build your toolchains on orbitalmcp.com, and they automatically become available through the OrbitalMCP extension. Each chain appears as a single tool that your AI can invoke with one command.
Code Review Workflow:
Chain together: Git Diff → Code Analysis → Style Checker →
Documentation Generator → GitHub Issue Creator. Your AI agent can
now perform a complete code review with a single command.
API Development Pipeline:
Sequence: Database Schema Reader → OpenAPI Generator → Test Case
Creator → Documentation Builder. Turn database changes into fully
documented API endpoints automatically.
Deployment Workflow:
Combine: Test Runner → Build System → Docker Image Creator → Cloud
Deployer → Slack Notifier. Deploy with confidence using a single,
reproducible chain.
Bug Investigation Chain:
Link: Log Analyzer → Error Pattern Detector → Stack Trace Lookup →
Similar Issue Finder → Slack Alert. Automatically investigate and
report bugs.
Toolchains transform your AI assistant from a simple command executor into a sophisticated workflow orchestrator. They make complex operations reliable, repeatable, and accessible in every AI session—without writing a single line of orchestration code.
Context Profiles are your secret weapon for consistent, intelligent AI interactions. Think of them as a "briefing dossier" you prepare once for your AI assistant, which it then consults automatically every time you work on a specific project.
Create a Context Profile in your dashboard and add project-specific information:
Link a Context Profile to your workspace folder via the VS Code extension. From that moment on, every AI interaction in that workspace automatically includes your context—no manual copying, no repeated explanations.
Onboard your AI instantly:
New team members or AI sessions get the full picture without
lengthy explanations. Your coding standards, architecture
decisions, and project quirks are always available.
Maintain consistency across sessions:
No more reminding your AI about testing framework preferences
or explaining why you use a specific pattern. The context persists
across all AI conversations.
Switch projects seamlessly:
Working on Project A? Your AI gets Context Profile A. Switch to Project
B? Your AI automatically gets Context Profile B. Your AI always has the
right context for the right project.
Share knowledge with your team:
Export Context Profiles to share with teammates or create
organization-wide profiles that ensure everyone's AI sessions follow
the same guidelines.
Context Profiles are workspace-scoped, meaning each project folder
can have its own linked profile. This ensures that context for
Project A never bleeds into Project B. Your workspace configuration
is stored in .vscode/settings.json, making it portable
and version-controllable.
Context Profiles are fetched once and cached locally for 5 minutes, minimizing API calls while keeping your context fresh. The extension automatically prepends your context to all AI prompts, enhancing every interaction with project-specific knowledge.
We don't just give you the tools to build workflows—we give you professionally crafted templates to start with. Our team has created 50+ toolchain templates covering the most common development scenarios, so you can skip the setup time and start using powerful automation immediately.
Security Audit Pipeline, Code Review Accelerator, Container Security Scanner, Test Coverage Guardian, and more.
Kubernetes Troubleshooter, Infrastructure Cost Optimizer, Multi-Cloud Auditor, Release Manager, and more.
Database Migration Orchestrator, Data Pipeline Debugger, Schema Evolution, Data Quality Guardian, and more.
Developer Onboarding Assistant, API Documentation Generator, Code Migration Assistant, and more.
Each template is a complete, ready-to-use workflow that you can copy to your account with a single click. Templates include:
Once copied, templates become fully editable toolchains in your account. Customize them to match your specific workflow needs, or use them as-is to get started immediately.
We're heavy AI users who were frustrated by three things: high API costs, tedious MCP configuration across machines, and reinventing workflows from scratch. We built OrbitalMCP to solve our own problems, and now we're sharing it with the AI development community.