Infragate Overview
Infragate provides a streamlined, managed path for deploying production-ready Model-Context-Protocol (MCP) servers, enabling AI agents and applications to securely access and utilize data from various sources. It eliminates the need for boilerplate code and complex operational overhead, allowing engineers to ship AI-powered features faster. The platform facilitates seamless integration with databases, APIs, and custom functions, transforming raw data into actionable tools for AI.
How to use Infragate
Using Infragate involves a simple four-step process to get your MCP server operational in minutes: First, connect your data sources, which can include over 20 database types, HTTP APIs, or custom functions, with all credentials securely encrypted. Second, create your MCP server, configuring it for public or private access and setting up API key authentication. Third, define your MCP tools by mapping parameters to your connected data sources using SQL, HTTP, or function calls. Finally, monitor and scale your live MCP server, tracking usage, costs, and performance in real-time through your dashboard.
Core Features of Infragate
- Rapid MCP Server Deployment: Build and run production-ready MCP servers in minutes, accelerating AI development.
- Extensive Data Source Connectivity: Connect to over 20 database types (e.g., PostgreSQL, MySQL, MongoDB, Snowflake, BigQuery), HTTP APIs, and custom functions with full flexibility.
- Custom Function Deployment: Write and deploy custom code serverlessly, supporting complex business logic and data transformations without infrastructure management.
- Secure Authentication: Features API key generation and management, secure credential encryption, and Bearer Token Passthrough for forwarding authentication to your services.
- Real-time Monitoring & Analytics: Track usage, costs, and performance of your MCP servers in real-time.
- Enterprise-Grade Security: Includes secure credential storage, fine-grained access control, and compliance features built for production environments.
- Managed Infrastructure: Offers a managed path from code to live server, reducing operational burden.
- MCP Protocol Compliance: Built on Anthropic's Model-Context-Protocol standard for seamless AI-to-tool communication.
Use Cases for Infragate
Infragate is ideal for engineers and teams looking to rapidly integrate AI agents and applications with their existing data infrastructure. It's perfect for building AI-powered assistants that need secure, real-time access to enterprise databases and APIs. Use cases include building custom AI tools for data retrieval and manipulation, creating scalable backends for AI applications, prototyping new AI features quickly, and ensuring secure, compliant data access for AI models in production environments.
Advantages of Infragate
The primary advantages of Infragate include its speed and simplicity in deploying AI infrastructure, allowing developers to ship AI features significantly faster by eliminating boilerplate and operational complexities. Its flexible configuration options support both rapid prototyping and robust enterprise deployments. The platform offers strong security features, including encrypted credentials and fine-grained access control, ensuring data integrity and compliance. Furthermore, its transparent, credit-based pricing model allows for scalable growth without hidden fees, making it a cost-effective solution for managing AI workflows.
Pricing and Plans
Infragate offers a credit-based "Pay as you Go" pricing model, where you only pay for what you use. Credits are purchased upfront and consumed based on actual usage, with transparent pricing and no hidden fees. The cost per server request per second is 0.0000500001 USD. Database connections and real-time usage analytics are included, with no setup fees. An "Enterprise" plan is coming soon, offering custom pricing for high volume, volume discounts, dedicated 24/7 priority support, custom SLA agreements (99.9% uptime), advanced monitoring & alerts, custom integrations, and on-premise deployment options. All plans include core functionality such as 20+ database type support, secure credential encryption, API key authentication, real-time usage analytics, HTTP API integration, custom function deployment, MCP protocol compliance, bearer token passthrough, and cost monitoring.
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