Natoma | Hosted MCP Platform is an enterprise-grade platform that accelerates AI development by providing one-click access to 100+ fully managed MCP servers and prebuilt hosting for model context protocols. It enables seamless integration of AI agents with enterprise tools, simplifies deployment, and emphasizes security, scalability, and control. The platform supports easy configuration, automated deployments, and compatibility with leading LLM architectures, making it suitable for complex, custom MCP server needs across organizations.
How It Works
- One-click MCP access: Connect to 100+ fully managed MCP servers with minimal setup.
- Flat deployment model: One-click deployment and intuitive setup reduce integration guesswork.
- Bring-your-own-models: Use your own models and MCP servers within the hosted platform.
- Enterprise readiness: Granular authorization, audit logs, and robust security controls for governance and compliance.
Core Capabilities
- Hosted MCP Platform with one-click access to 100+ pre-built MCP servers
- Easily configure and deploy MCP servers with minimal friction
- Compatibility with leading LLM architectures and custom MCP environments
- Bring your own models and MCP servers while leveraging Natoma’s managed infrastructure
- Fully managed MCP servers connected to enterprise tools and data sources
- Built-in versioning to improve stability and reduce maintenance overhead
- Automation and infrastructure-as-code capabilities for scalable deployments
- Granular access control and policy enforcement tailored to roles
- Comprehensive data security: in transit and at rest security controls
- Policy controls and audit logs for compliance and traceability
- Ready-to-use templates and integrations to accelerate AI agent workflows
How It Works (Expanded)
- Sign in to the hosted MCP platform and select an MCP server or template to deploy.
- Configure access, security, and integrations with enterprise tools.
- Connect your AI agents to the managed MCP servers and begin building with automatic scaling and version control.
- Monitor deployment health, security policies, and audit trails from a centralized console.
Safety and Compliance Considerations
- Ensure proper governance by leveraging granular authorization, audit logging, and policy controls.
- Maintain compliance with organizational security standards when connecting to internal tools and data.
Core Features
- One-click MCP access platform with 100+ fully managed MCP servers
- Bring-your-own-models and MCP servers integration
- One-click deployment and intuitive setup to reduce integration time
- Compatibility with leading LLM architectures for broad interoperability
- Fully managed MCP servers that seamlessly connect AI agents to enterprise tools
- Granular authorization and role-based access controls
- Robust data security controls (in transit and at rest)
- Policy controls and audit logs for governance and compliance
- Automation and infrastructure-as-code capabilities for scalable deployments
- Versioning to enhance stability and simplify maintenance
- Enterprise-ready security, reliability, and scalability