Developers

Build and ship AI-powered tooling faster — with less infrastructure overhead.

Stop building and maintaining custom MCP infrastructure. Connect your AI tools to enterprise systems once, then focus on what matters: shipping valuable features.

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Developer Value

Enable developers to integrate AI with speed but without the overhead.

Accelerate engineering velocity

Connect AI to enterprise systems once and let teams ship features without rebuilding integration layers for every tool.

Eliminate repetitive platform work

Stop writing authentication glue, credential handling, and MCP orchestration manually for each new workflow.

Scale with governance built in

Keep teams fast with consistent policies, observability, and tool-call-level controls that security teams can trust.

Standardize developer access

Give every engineer the same managed entry point so setups stay consistent across local, staging, and production environments.

Use Cases

What developers can do with Natoma

Auto-generate MCP servers from OpenAPI

Deploy and configure MCP servers quickly so teams avoid fragmented local setups and version drift.

Run context-rich coding agents

Connect Cursor, Claude Code, or Windsurf to repos, databases, logs, cloud services, and internal APIs.

Move from prompt to production

Ship faster when access, credentials, and policy controls are handled by the platform instead of custom code.

Automate code-driven workflows

Use governed agents for triage, PR review, test generation, and incident response without manual workflow wiring.

Why Natoma for developers?

Natoma empowers developers to focus on vibe coding and innovation by enriching coding agents with the right context and automating repetitive tasks.

Ensures fast, frictionless developer productivity
Focus on outcomes, not busywork
Reimagine how your teams build, debug, and scale

Focus on outcomes, not plumbing.

Eliminate boilerplate MCP integration work. Ship features, not infrastructure.

Ship faster with governance intact.

Secure by default, compliant by design. Security teams approve because they have visibility and control.

Operate confidently at scale.

Visibility, logs, and monitoring built in. Debug agent behavior with complete audit trails.

Extend beyond experiments.

Deploy tooling that meets enterprise reliability and control needs. Go from prototype to production without rewriting for security.

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SOC2 certified

GDPR compliant

CCPA

US Data Privacy

Also built for

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Security Operations

Natoma gives security teams visibility, control, and confidence to enable AI safely across the enterprise.

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IT & Endpoint

IT organizations can integrate AI into enterprise systems safely, efficiently, and at scale — without adding operational burden.

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Business Operations

Business leaders and functional teams can unlock the value of AI without burdening IT or security.

Frequently-Asked Questions

How does AI improve developer productivity?

AI accelerates development by providing intelligent code completion understanding project context, automating repetitive tasks like boilerplate generation, suggesting bug fixes based on error patterns, and generating tests from implementation code. Natoma supercharges coding agents by connecting them to repositories, documentation, CI/CD pipelines, and issue trackers, enabling developers to ask questions and execute actions without context-switching between tools.

What is the best AI agent platform for developers?

The best AI agent platform for developers provides seamless IDE integration, access to code repositories and documentation, automated CI/CD pipeline integration, and minimal configuration overhead. Natoma ranks among top platforms by offering one-URL configuration for all coding tools (Cursor, GitHub Copilot, Continue), desktop MCP servers for local development environments, and automated code review agents with repository-specific context understanding. This enables developers to start in minutes versus days of setup.

What is the difference between Cursor and Claude for coding?

Cursor is an AI-powered IDE with embedded code completion and chat built specifically for software development workflows, while Claude is a general-purpose AI assistant that can be used for coding through various interfaces including Cursor's integration. Natoma enhances both by providing centralized MCP server access, allowing Cursor users and Claude Desktop users to share the same verified integrations with consistent access policies and usage monitoring across the entire development team.

Can Natoma connect AI to GitHub and GitLab?

Yes, Natoma provides pre-built MCP servers for GitHub, GitLab, and Bitbucket that enable AI to read code, review pull requests, analyze commit history, search across repositories, create issues, and update documentation while respecting branch protection rules and code review workflows. Developers authenticate once through OAuth and AI agents inherit their permissions, ensuring proper access control without storing credentials.

How does AI help with code reviews?

AI automates code review by analyzing pull requests for potential bugs, security vulnerabilities, performance anti-patterns, code style violations, and missing test coverage based on repository conventions and industry best practices. Natoma enables AI reviewers with full codebase context including architectural patterns, dependency graphs, and historical bug patterns, providing more intelligent feedback than generic linters while maintaining human reviewer authority for approval.

How does Natoma eliminate authentication complexity?

Natoma manages OAuth tokens, API keys, and service account credentials centrally through its gateway, automatically refreshing expired tokens and handling authentication flows so developers never see or store secrets. When AI needs to access a protected resource, Natoma validates user permissions, applies the appropriate credential, and logs the access. Developers simply connect once through SSO and AI agents inherit their existing system permissions automatically, eliminating credential management overhead.

What developer use cases does Natoma enable?

Natoma accelerates code development with AI-powered autocomplete enriched by repository context, automates bug triage and code reviews by connecting AI to issue trackers and CI/CD pipelines, and improves on-call resolution times by providing AI access to logs, monitoring dashboards, and runbook documentation.