Natoma
Connect AI agents to enterprise data and tools with security and governance. Deploy MCP servers, enforce policies, and scale AI adoption across your organization.
Editor's Verdict
Key Takeaways
- Enterprise MCP Deployment
- Shadow AI Discovery & Governance
- Role-Based Toolkits with Profiles
- Secure Tool Access for AI Agents
In-Depth Review: What is Natoma?
Natoma is a fully managed platform that enables AI agents to securely connect to enterprise data and tools. It provides one-click deployment of Model-Context Protocol (MCP) servers, centralized access controls, and built-in security features like OAuth 2.1, SSO, and SCIM. With Natoma, you can standardize AI tool access, enforce identity-aware policies, discover and govern shadow AI, and deploy role-based toolkits—all while maintaining enterprise-grade oversight. Go from pilot to org-wide rollout in minutes, not months, and let your AI know everything your company knows, securely and at scale.
Core Features
Enterprise MCP Deployment
Standardize AI tool access with a single governed endpoint for ChatGPT, Claude, Cursor, and internal agents. Go from pilot to org-wide rollout without configuration sprawl.
Shadow AI Discovery & Governance
Discover every unmanaged AI, MCP server, and tool call. Bring them under policy or block them without disrupting productivity.
Role-Based Toolkits with Profiles
Bundle approved tools into role-based Profiles. Each team gets only what they need—Finance, Security, Engineering, Ops.
Secure Tool Access for AI Agents
Agents act with exactly the permissions of the person behind them. Identity-aware policy, credential governance, and full audit trail.
Enterprise-Grade Authorization for AI Tools
Define policy once with Cedar. Enforce it across every tool, client, and call as adoption scales.
AI Coding Assistants & IDEs
Connect Claude Code, Cursor, and every IDE to production systems through one governed layer. No shadow MCP.
Verified MCP Server Library
Deploy from a verified MCP server library or bring your own—cloud, desktop, or self-hosted. Centralized configuration.
Identity-Aware Policies
Control access with identity-aware policies, attribute-based authorization, data filters, and granular permissions.
Enterprise-Grade Oversight
Audit every tool call. Detect Shadow AI, integrate with CrowdStrike, EDR, MDM, and SIEM systems.
Pricing
Free
- 5 MCP servers
- Up to 5 users
- 5k tool calls per month
- Email support
- Agentless discovery of agents, MCPs, and tool calls
- Agent IAM
- Desktop MCPs
- Enterprise MCP Registry
- MCP Runtime & Proxy
- Personal & shared MCP connections
- OAuth 2.1-based authentication
- Tool call authorization
Pro
- Unlimited MCP servers
- Unlimited users & agents
- 20k tool calls per month + credits
- Chat & email support
- Tool sets & skill library
- Block shadow agents, MCPs, & tool calls
- SSO / SAML / SCIM
- Access policies
- Reporting
- Activity monitoring
- MCP builder & inspector
- BYO MCP (your Docker Hub)
- Self-hosted MCPs
- 14 days data retention for governance
- 99.99% uptime SLA
Enterprise
- Unlimited tool calls
- 24/7 dedicated support
- Comprehensive reporting
- Custom MCP servers
- Audit logs
- On-prem deployment
- BYO Vault
- DLP filters
- SIEM & OTel integration
- Custom data retention
- 99.999% uptime SLA
- SOC2 certified
- GDPR compliant
- CCPA
- US Data Privacy
Pros and Cons
Pros
- Secure and Governed AI Tool AccessNatoma provides identity-aware policies, attribute-based authorization, and full audit trails so enterprises can safely connect AI agents to any tool.
- Easy Deployment with Verified MCP ServersDeploy 100+ verified MCP servers in one click, eliminating months of custom integration work and enabling enterprise rollout in minutes.
- Role-Based ToolkitsPredefined Profiles let you bundle tools by role or department, ensuring each team gets exactly what they need without config sprawl.
- Shadow AI DiscoveryDetect unmanaged AI instances and MCP servers—averaging 225 per enterprise—and bring them under centralized governance.
- Enterprise-Grade OversightAudit every tool call, integrate with CrowdStrike, EDR, MDM, and SIEM, and enforce DLP filters for complete operational visibility.
Cons
- Limited Free PlanThe Free plan caps at 5 MCP servers, 5 users, and 5k tool calls per month, which may be too restrictive for larger teams or pilot projects.
- Pro Pricing Not TransparentPro plan requires contacting sales for pricing, which can be a barrier for organizations wanting immediate budget clarity.
- Dependency on MCP ProtocolNatoma's platform is built around MCP; non-MCP AI clients or tools may require additional adaptation or are not supported.
- Limited Self-Hosted Options in Free PlanSelf-hosted MCPs and BYO MCP are only available in higher-tier plans (Pro and Enterprise).
- Learning Curve for Policy ConfigurationSetting up identity-aware policies and attribute-based authorization may require expertise in IAM and security policy definition.
Use Cases & Recommended Professions
Software Engineer→ View Toolkit
Connect coding assistants like Claude Code and Cursor to production systems safely, with governed access and no shadow MCP.
IT Security Analyst→ View Toolkit
Discover and govern shadow AI instances, enforce access policies, and integrate with existing security tools like SIEM and EDR.
CIO / CTO→ View Toolkit
Oversee enterprise-wide AI deployment with a single governance layer that scales from pilot to full rollout.
Data Scientist→ View Toolkit
Query enterprise databases and APIs through AI agents using MCP, with secure access controls and audit trails.
Finance Manager→ View Toolkit
Use role-based toolkits to provide finance teams with approved MCP servers for reporting and analysis, ensuring compliance.
Healthcare Administrator→ View Toolkit
Deploy AI tools for patient data access and clinical decision support while maintaining HIPAA-level security and access controls.
Frequently Asked Questions
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ℹ️ Curation Disclosure: The overview and features of Natoma were synthesized using AI and fact-checked by our curation team to ensure accuracy.
