Google Cloud Functions
Google App Engine
Salesforce Platform
AWS Lambda
Dokku
Azure Web Apps
Now Platform
Zoho Creator
Webrix
KlavisAI
Docker
Webrix MCP Gateway is enterprise infrastructure for secure AI adoption. It provides a centralized MCP gateway connecting AI agents (Claude, ChatGPT, Cursor) to internal tools (Jira, GitHub, Slack, databases) with SSO authentication, RBAC, audit logging, and guardrails. Employees get instant self-service access to approved tools while security teams maintain full visibility and control. Deploy on-premise, cloud, or SaaS.
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Webrix's answer:
Webrix is the only enterprise MCP Gateway built specifically for AI adoption at scale. Unlike generic API management or agent platforms, we provide purpose-built infrastructure that connects any MCP-compatible AI agent to internal systems through a single secure gateway. Our architecture is built on the open Model Context Protocol standard (avoiding vendor lock-in), provides enterprise-grade security controls from day one (SSO, RBAC, audit trails), and enables self-service tool access without IT bottlenecks. We solve the last-mile problem that blocks AI adoption: giving employees instant, secure access to the internal tools their AI agents need.
Webrix's answer:
Webrix's answer:
AI adoption leaders, VPs of Engineering, CTOs, and technical decision-makers at mid-to-large enterprises (500-5,000+ employees) that build software in-house. These organizations have strong technical capabilities, existing internal tools that need AI integration, and security/compliance requirements that prevent ad-hoc AI tool adoption. Secondary audiences include security teams evaluating POCs, engineering teams wanting faster AI tool access, and IT leaders needing visibility into AI usage and ROI.
Webrix's answer:
Webrix was founded by developers who saw the same pattern repeating across enterprises: employees wanted to use AI tools like Claude, Cursor, and ChatGPT with their internal systems, but security teams had to block access because there was no safe way to connect AI agents to Jira, GitHub, databases, and internal APIs. IT teams were drowning in access requests while developers worked around restrictions. We built Webrix to solve this fundamental infrastructure gap - providing the secure gateway layer that enterprises need to actually adopt AI at scale without compromising security, compliance, or control.
Webrix's answer:
Kubernetes for container orchestration, Helm for deployment management, Docker for containerization, and the Model Context Protocol (MCP) as the core standard for agent-tool communication. Our gateway runs on cloud-native infrastructure with support for PostgreSQL for session management, integrates with standard identity providers (Okta, Azure AD, Google Workspace) for SSO, and uses industry-standard security practices including secrets management, and audit logging.
Webrix's answer:
Based on our record, Google Cloud Functions seems to be more popular. It has been mentiond 52 times since March 2021. We are tracking product recommendations and mentions on various public social media platforms and blogs. They can help you identify which product is more popular and what people think of it.
If this sounds like Cloud Functions, here's the history. Cloud Functions 1st gen ran on older, separate infrastructure with strict limits: 9-minute timeouts, one request per instance, no concurrency. Cloud Functions 2nd gen (GA in 2022) was already built on top of Cloud Run under the hood, which unlocked 60-minute timeouts and multi-request concurrency. In 2024, Google made it official and rebranded 2nd gen as... - Source: dev.to / 4 months ago
Cloud Functions (GCF) -- originally serverless functions to compete with AWS Lambda; latest generation rebranded as Cloud Run Functions. - Source: dev.to / 8 months ago
Of course, I can't just directly give my static website permissions to modify my databases, which is why I created a Cloud Function as a "middle-man" -- we should always assume there will be malicious actors that will cause irreparable damage if they have direct access to a database (I don't want to get charged by Google Cloud hehe). - Source: dev.to / 11 months ago
Itโs a lightweight GitHub App built with Probot and deployed serverlessly on GCF. Here's what it does:. - Source: dev.to / about 1 year ago
Serverless architectures are revolutionizing software development by removing the need for server management. Cloud services like AWS Lambda, Google Cloud Functions, and Azure Functions allow developers to concentrate on writing code, as these platforms handle scaling automatically. - Source: dev.to / about 1 year ago
Google App Engine - A powerful platform to build web and mobile apps that scale automatically.
KlavisAI - Klavis AI is open source MCP integration plaforms that let AI agents use tools reliably at any scale. You can use our API to automate workflows across multiple apps with managed authentications.
Salesforce Platform - Salesforce Platform is a comprehensive PaaS solution that paves the way for the developers to test, build, and mitigate the issues in the cloud application before the final deployment.
Docker - Docker is an open platform that enables developers and system administrators to create distributed applications.
AWS Lambda - Automatic, event-driven compute service
Dokku - Docker powered mini-Heroku in around 100 lines of Bash