Founder
Alpic AI
Alpic AI offers a managed platform for deploying and scaling Message Content Protocol (MCP) servers, enabling businesses to integrate their products with AI agents. This platform simplifies the creation of AI-native experiences by handling authentication, transport layers, and providing MCP-specific monitoring and security.
- Artificial Intelligence
- Developer Tools
- Software Only
Updated 6 months ago
Funding
Funding not disclosed
Funding rounds are not available yet.
Founders
Product
Problem
Businesses struggle to integrate their products with AI agents, limiting functionality and user engagement beyond traditional interfaces. This gap prevents them from leveraging AI-native channels for growth and extending their services into new interaction paradigms.
Solution
Alpic AI provides a managed platform for deploying, managing, and scaling Message Content Protocol (MCP) servers, enabling seamless integration of products with AI agents. The platform offers developer-friendly deployment using official MCP SDKs and supports full CI/CD integration. It handles managed authentication with existing Identity Providers and abstracts transport layers to support SSE, WebSockets, and streamable HTTP without requiring code rewrites. Alpic AI also provides comprehensive MCP-specific monitoring and scalable, serverless hosting with built-in security features like rate limiting and DDoS protection. This allows businesses to create AI-native experiences, unlock new acquisition channels, and drive user engagement through agent-based workflows.
Target Audience
The primary target audience includes SaaS product teams and B2C application developers seeking to build AI-native interfaces and extend their product's functionality to AI agents.
Features
- Managed platform for MCP server deployment, management, and scaling.
- Developer-friendly deployment via official MCP SDKs (Python & TypeScript) with one-click CI/CD integration.
- Managed authentication supporting OAuth and API keys with sticky session support.
- Transport layer abstraction for SSE, WebSockets, and streamable HTTP.
- MCP-specific monitoring for sessions, authentication flows, token usage, latency, and tool calls.
- Scalable, distributed serverless infrastructure with built-in session management.
- Security features including rate limiting, DDoS protection, and advanced code analysis.
- Evaluation tools to assess MCP server compliance and LLM interpretability.