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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.
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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:
Not too far ago, I invested several days into "mastering" and tuning TiddlyWiki. It was an interesting experience. I loved it on the whole and felt very enthusiastic about using it store all my knowledge. It's super flexible and use of tags, filters and macros make it unique. However, it's a bit complicated for mass adoption. Also, the extended use of its powerful features may make your computer tangibly slow.
That's why I found "Obsidian", that's what I'm using today to store my knowledge.
Based on our record, TiddlyWiki seems to be more popular. It has been mentiond 199 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.
Https://tiddlywiki.com/#WidgetMessage%3A%20tm-http-request A community version of TiddlyWiki called Bob (by OokTech) implements real-time, two-way communication between the server and the browser, and between different wikis managed by the same server. This is the closest functional equivalent to what Joe and Jeremy discussed, it's built on WebSockets and Node.js. - Source: Hacker News / 6 months ago
What is your innovation over https://tiddlywiki.com/. - Source: Hacker News / 7 months ago
Not a dig, but it reminds me of how much I used to like tiddly wiki. https://tiddlywiki.com/. - Source: Hacker News / 9 months ago
I have slightly different needs I suppose, but I settled for https://tiddlywiki.com/ as my SOHO wiki. There is a learning curve, but once you grasp some rather uncommon concepts it's quite good and very easy to setup, backup and manage locally or remotely. - Source: Hacker News / 11 months ago
I just standardize to TiddlyWiki (2004) https://tiddlywiki.com/#History%20of%20TiddlyWiki format now supporting json to maintain interop with PlainText editors emacs, vim, mobile, or bespoke GenAi DIY vibe code import/export tool, etc and all done! [{. - Source: Hacker News / 11 months ago
Obsidian.md - A second brain, for you, forever. Obsidian is a powerful knowledge base that works on top of a local folder of plain text Markdown files.
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.
Zim Wiki - Zim is a graphical text editor used to maintain a collection of wiki pages. Each page can contain links to other pages, simple formatting and images.
Docker - Docker is an open platform that enables developers and system administrators to create distributed applications.
Logseq - Logseq is a local-first, non-linear, outliner notebook for organizing and sharing your personal knowledge base.
DokuWiki - DokuWiki is a simple to use and highly versatile Open Source wiki software that doesn't require a database.
