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Description
Cloudflare AI Gateway serves as an advanced control plane for AI applications, designed to seamlessly connect to various models while dynamically managing request routing, usage tracking, billing, and logging through a single, cohesive interface. This platform empowers teams by providing enhanced visibility and oversight of their AI applications, enabling them to analyze user interactions through detailed analytics and logs, as well as efficiently manage application scalability through features like caching, rate limiting, request retries, and model fallback. By utilizing response caching and minimizing redundant API calls, AI Gateway effectively lowers costs and reduces latency, allowing frequent requests to be fulfilled directly from Cloudflare’s cache rather than relying on the original model provider. Additionally, it boosts reliability with adaptable controls that determine the timing and conditions under which model provider APIs are accessed, guided by various factors such as attributes, fallbacks, latency, cost, and availability. Importantly, routing rules can be modified directly from the dashboard or via API calls without necessitating redeployments or causing any service interruptions, ensuring a smooth operational experience. In this way, organizations can optimize their AI app performance while maintaining flexibility and control.
Description
The Microsoft MCP Gateway serves as an open-source reverse proxy and management interface for Model Context Protocol (MCP) servers, facilitating scalable and session-aware routing along with lifecycle management and centralized oversight of MCP services, particularly within Kubernetes setups. Acting as a control plane, it adeptly directs requests from AI agents (MCP clients) to the corresponding backend MCP servers while maintaining session affinity, effectively managing multiple tools and endpoints through a singular gateway that prioritizes authorization and observability. Additionally, it empowers teams to deploy, update, and remove MCP servers and tools through RESTful APIs, enabling the registration of tool definitions and the management of these resources with security measures such as bearer tokens and role-based access control (RBAC). The architecture distinctly separates the management of the control plane, which includes CRUD operations on adapters, tools, and metadata, from the data plane's routing capabilities, which support streamable HTTP connections and dynamic tool routing, thus providing advanced features like session-aware stateful routing. This design not only enhances operational efficiency but also fosters a more secure environment for managing AI services.
API Access
Has API
Yes
API Access
Has API
Yes
Integrations
Model Context Protocol (MCP)
Yes
Claude Opus 4.7
Yes
Cloudflare
Yes
Docker
No
GPT-5.5
Yes
Gemma 4
Yes
Kimi K2.6
Yes
Kubernetes
No
Microsoft Azure
No
Microsoft Entra ID
No
Integrations
Model Context Protocol (MCP)
Yes
Claude Opus 4.7
No
Cloudflare
No
Docker
Yes
GPT-5.5
No
Gemma 4
No
Kimi K2.6
No
Kubernetes
Yes
Microsoft Azure
Yes
Microsoft Entra ID
Yes
Pricing Details
$20 per month
Free Trial
No
Free Version
Yes
Pricing Details
Free
Free Trial
No
Free Version
Yes
Deployment
Web-Based
Yes
On-Premises
No
iPhone App
No
iPad App
No
Android App
No
Windows
No
Mac
No
Linux
No
Chromebook
No
Deployment
Web-Based
Yes
On-Premises
No
iPhone App
No
iPad App
No
Android App
No
Windows
No
Mac
No
Linux
No
Chromebook
No
Customer Support
Business Hours
No
Live Rep (24/7)
No
Online Support
Yes
Customer Support
Business Hours
No
Live Rep (24/7)
No
Online Support
Yes
Types of Training
Training Docs
Yes
Webinars
Yes
Live Training (Online)
No
In Person
No
Types of Training
Training Docs
Yes
Webinars
No
Live Training (Online)
No
In Person
No
Vendor Details
Company Name
Cloudflare
Founded
2009
Country
United States
Website
www.cloudflare.com/products/ai-gateway/
Vendor Details
Company Name
Microsoft
Founded
1975
Country
United States
Website
microsoft.github.io/mcp-gateway/