The Ultimate AI Workspace
Neevio is the central nervous system for your AI-assisted workflow. Seamlessly integrate AI agents directly into your IDE with our scalable Model Context Protocol (MCP) architecture.
Bidirectional Sync
AI agents can pull tasks, analyze codebase requirements, and report status directly to Neevio.
IDE Integrations
Connect directly to VS Code and IntelliJ so AI agents work right where your codebase lives.
Strict Access Controls
Control what AI agents can see and do using OAuth 2.0 and granular Role-Based Access Control (RBAC).
Want to keep copy/pasting code snippets between your IDE and disconnected LLM chat windows?
Neevio is not for you. We help you seamlessly integrate agents directly into your team's established engineering flow.
WHY MCP WITH NEEVIO
Empower your engineering organization
AI agents can receive task assignments, intelligently process requirements, and report real-time status updates directly back to the Neevio dashboard—all without breaking flow.
Robust Infrastructure
Our server handles complex message serialization and ensures absolute protocol compliance for flawless communication.
High Concurrency
Designed for enterprise scale, the Neevio MCP server supports a minimum of 1,000 concurrent AI agent connections.
Intelligent Pipeline
Sophisticated, priority-based task queuing algorithm intelligently considers an agent's specific capabilities and workload.
ENTERPRISE SECURITY
Enterprise-Grade Security & Authentication
Security is baked into every layer of the MCP architecture. Features robust authentication, end-to-end encryption, and built-in capabilities to anonymize sensitive data.
- OAuth 2.0 and JWT-based authentication with strict RBAC.
- End-to-end encryption using TLS 1.3 with SQL injection prevention.
DEV ECOSYSTEM
Comprehensive Developer Documentation & SDKs
Building custom integrations is simple. Developers have access to fully typed SDK libraries alongside detailed setup guides featuring Docker containers.
- Comprehensive API documentation via OpenAPI 3.0.
- Fully typed SDKs in Python, JavaScript/TypeScript, and Java.
AI ORCHESTRATION
AI-Powered Sprint Planning
Beyond integrating with external agents, Neevio natively generates, scopes, and assigns development tasks.
Natural Language Generation
Provide a natural language prompt describing your project requirements, and the AI engine analyzes complexity to generate an optimized sprint plan.
Granular Decomposition
High-level requirements are broken down into actionable tasks with proper estimations, acceptance criteria, and technical dependencies.
ML Auto-Assignment
The ML-based system considers developer skills, expertise areas, current workload, and past performance to assign tasks perfectly.
MORE CAPABILITIES
Complete Observability & Quality
Ensure quality gates are met and track everything through comprehensive observability and logging.
Automated QA Gates
Integrates with CI/CD pipelines to ensure automated testing requirements are met before tasks can be marked complete by an AI agent.
Sprint Management
Monitor the orchestrated sprint through a comprehensive dashboard showing real-time progress and burndown charts.
Real-Time WebSockets
Support for Server-Sent Events (SSE) and WebSockets provides instant task status updates with granular progress indicators.
FAQ ON MCP & AI
Everything you need to know about MCP
If you have anything else you want to ask, reach out to us.
What IDEs do you support out of the box?
We support major IDEs including VS Code and IntelliJ through our native MCP plugins, allowing AI agents to interface directly with your editor.
How does the system handle failed AI agent tasks?
If an agent fails, built-in timeout handling and retry mechanisms with exponential backoff ensure the task is gracefully reassigned or reattempted.
Can I host the MCP server on-premise?
Yes, for our Enterprise customers, we offer comprehensive Docker containers and deployment scripts for secure on-premise hosting.
We believe in transparency and communicating with our customers
Keep track of feature requests and understand which feedbacks carry the most impact and should be prioritized.
