Self-Hosted · API-First · Enterprise-Ready

The platform for
production AI agents

Every AI agent needs tools, knowledge, and a computer. MCP Gateway manages all three — with the governance enterprises trust.

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AI Agents

LangChainCrewAIClaudeVS CodeCopilot StudioCursor
ONE URL · ONE API KEY

MCP Gateway

AuthRouteAuditToken RefreshTelemetryRBACPlayground

MCP Servers

The tools

GitHubSlackJiraLinear

+12 more

Agent Skills

The knowledge

bigquerypdfdocxxlsx

+8 more

Sandboxes

The computer

PythonBashNode.js

Warm pool ready

The Problem

Without governance, AI agents
become Shadow AI

Every AI agent needs tools to connect to, knowledge to follow, and a safe place to execute code. When every developer and department spins up their own MCP servers, skills, and sandboxes with no oversight — credentials leak, costs spiral, and compliance breaks.

91%

of AI tools in enterprises remain unmanaged

Reco.ai, 2025

53%

of MCP servers use insecure static credentials

Astrix Security, 2025

$670K

additional cost per Shadow AI breach

IBM, 2025

The Solution

Tools. Knowledge. Computer.
One platform.

Every production agent needs MCP servers to take action, skills to know how, and a sandbox to run code. Manage, monitor, and generate all three.

MCP Servers

The tools. Connect agents to GitHub, Slack, databases, and any API through one gateway URL. OAuth tokens stay alive automatically — no human re-authentication needed.

POST/api/v1/tools/search
{
"query": "create a pull request"
}
200 OK23ms
[
{ "name": "github_create_pull_request",
"server": "github", "score": 0.97 },
{ "name": "gitlab_create_merge_request",
"server": "gitlab", "score": 0.84 }
]
Searched 247 tools across 12 servers in 23ms

Agent Skills

The knowledge. Portable instruction packages that teach agents expert workflows — when to use each tool, how to chain them, and what to watch for.

POST/api/v1/skills/generate
{
"intent": "Review PRs for security vulnerabilities"
}
SSE Stream
▸ Analyzing intent...
▸ Mapping to GitHub server tools...
▸ Generating SKILL.md...
✓ Created "security-pr-reviewer" v1.0.0
3 tools referenced · 2 workflow steps
AI-generated from natural language intent

Sandboxes

The computer. Isolated containers where agents execute code, run skill scripts, and produce artifacts. Pre-warmed for instant allocation.

POST/api/v1/sandboxes/{id}/exec
{
"command": "python analyze.py --input data.csv"
}
200 OK2.3s
{
"exit_code": 0,
"stdout": "Analysis complete. 1,234 rows.",
"duration_ms": 2341,
"files_changed": [
{ "path": "outputs/chart.png",
"action": "created" }
]
}
Isolated · No network · Read-only rootfs

Deployment

Your infrastructure. Your rules.

Deploy on your infrastructure — cloud, on-premises, or air-gapped. No vendor lock-in.

Self-Hosted

Deploy on your Kubernetes cluster, your VPC, your compliance boundary. One Helm chart, full control.

Coming Soon

Kubernetes · Helm · Your VPC

Cloud Marketplaces

Subscribe on AWS, Azure, or GCP. Use your committed cloud spend. Flat pricing per cluster.

Coming Soon

AWS · Azure · GCP

Red Hat OpenShift

Certified OpenShift Operator. Enterprise support SLAs, CVE response, joint escalation with Red Hat.

Coming Soon

OpenShift · On-Premises · Air-Gapped

Insights

From the team

Why AI Agents Need a Control Plane

Pablo Marin, CTO @ KSGai.com · February 23, 2026

91% of AI tools in enterprises are unmanaged. Here’s what Shadow AI means for your organization — and why MCP Gateway exists.

Read

Ready to take control of your AI agent infrastructure?

Give your agents the tools, knowledge, and compute they need — with the governance your enterprise requires.

Get StartedTalk to Us

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