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Developer Tools$20K-100K MRRLow competition3-6 Monthsnew

GatewayAI

One dashboard to manage, secure, and monitor every MCP server your team runs.

The Problem

Engineering teams running 5-50 MCP servers (connecting AI agents to Jira, GitHub, Slack, databases, etc.) have no central way to manage them. Each server has its own auth config, no usage visibility, no rate limiting, and no audit trail. When something breaks, debugging is guesswork. MintMCP and Lasso target enterprise ($10K+/month). Small and mid-market teams are stuck with raw MCP connections.

The Solution

A managed gateway that sits in front of all your MCP servers. Centralized OAuth/API key auth, per-server usage dashboards, rate limiting, request logging, and team-level access controls. Deploy in 5 minutes. No code changes to existing MCP servers. Think "Cloudflare for MCP."

Key Signals

MRR Potential

$20K-100K

Competition

Low

Build Time

3-6 Months

Search Trend

rising

Market Timing

MCP was adopted by Anthropic, OpenAI, Google, and Microsoft in 2025. Andreessen Horowitz published a deep dive on MCP gateways (Feb 2026). MintMCP, Lasso, Bifrost, and Runlayer all launched MCP gateway products in the past 6 months. The category is forming right now.

MVP Feature List

  1. 1Zero-config MCP server registration
  2. 2Centralized OAuth and API key management
  3. 3Per-server request logging and usage analytics
  4. 4Rate limiting and cost controls
  5. 5Team access controls with role-based permissions

Suggested Tech Stack

GoPostgreSQLRedisDockerOAuth 2.0

Go-to-Market Strategy

Open-source the gateway proxy layer to build trust and adoption. Monetize hosted management dashboard, alerting, and team features. Target MCP server directory listings. Write the "how to secure your MCP servers" guide. Sponsor AI agent community events and Discord servers.

Target Audience

AI Engineering Teams at StartupsDevOps Teams Managing AI InfrastructureCTOs at 20-200 Person Companies

Monetization

Tiered Plans

Competitive Landscape

MintMCP is SOC 2 audited but enterprise-priced. Lasso is open-source but requires self-hosting and manual config. Bifrost combines LLM routing and MCP but is infrastructure-heavy. Runlayer focuses on enterprise registry and approval flows. No one serves the 20-200 person startup segment with a managed, affordable gateway.

Why Now?

MCP became the de facto standard for AI agent tool access in 2025-2026. VS Code 1.109 runs multiple AI agents with MCP connections. Every company deploying AI agents needs MCP servers. The governance layer is missing. a16z called MCP gateways "critical infrastructure" in their Feb 2026 analysis.

Tools & Resources to Get Started

Frequently Asked Questions

What problem does GatewayAI solve?

Engineering teams running 5-50 MCP servers (connecting AI agents to Jira, GitHub, Slack, databases, etc.) have no central way to manage them. Each server has its own auth config, no usage visibility, no rate limiting, and no audit trail. When something breaks, debugging is guesswork. MintMCP and Lasso target enterprise ($10K+/month). Small and mid-market teams are stuck with raw MCP connections.

How much MRR can GatewayAI generate?

GatewayAI has $20K-100K MRR potential with a Tiered Plans model. The estimated build time is 3-6 Months with Low competition in the market.

What are the MVP features for GatewayAI?

Zero-config MCP server registration. Centralized OAuth and API key management. Per-server request logging and usage analytics. Rate limiting and cost controls. Team access controls with role-based permissions.

What is the go-to-market strategy for GatewayAI?

Open-source the gateway proxy layer to build trust and adoption. Monetize hosted management dashboard, alerting, and team features. Target MCP server directory listings. Write the "how to secure your MCP servers" guide. Sponsor AI agent community events and Discord servers.

Who is the target audience for GatewayAI?

The primary target audience includes AI Engineering Teams at Startups, DevOps Teams Managing AI Infrastructure, CTOs at 20-200 Person Companies. MCP became the de facto standard for AI agent tool access in 2025-2026. VS Code 1.109 runs multiple AI agents with MCP connections. Every company deploying AI agents needs MCP servers. The governance layer is missing. a16z called MCP gateways "critical infrastructure" in their Feb 2026 analysis.

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