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Webrix
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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.
Directus
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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, Directus seems to be more popular. It has been mentiond 126 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.
Im using directus (https://directus.io/) for my personal website with a vacation blog and some postsโฆ So far it works pretty well and my gf is also able to use it on her own, so you could say its non-tech user approved haha. - Source: Hacker News / 11 months ago
If you're working with Directus, the open-source headless CMS and data platform, then Directus.js is your new best friend. - Source: dev.to / about 1 year ago
It seems to really be an ad for Directus (https://directus.io/) (?). - Source: Hacker News / about 1 year ago
Sanity, Contentful, and Hygraph are a few examples. Very often a CMS has a pricing page, but is also open-source, and has docs on how to self-host it for free. A great example of that is Directus, and there is no need to avoid those CMS. - Source: dev.to / over 1 year ago
> From indie devs to enterprise teams, our growing community is building faster with an open source backend built from the ground-up for developers. From https://directus.io. - Source: Hacker News / over 1 year ago
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