Eve
Jupyter
Deco IDE
iPython
Observable Notebooks
TRYNOVO
BeakerX
uCalc
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.
Eve WebrixNo Webrix videos yet. You could help us improve this page by suggesting one.
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, Eve seems to be more popular. It has been mentiond 11 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.
The "Eve" programming language / IDE - https://witheve.com It was a series of experiments with new approaches to programming. Kind of reminded me of the research that gave us Smalltalk. It would have been interesting to see where they went with it, but they wound up the project. - Source: Hacker News / 10 months ago
Glad someone found it useful! It's at least represents a more fleshed out working example, and it's in a little module so it's pretty self-contained and easy to read through. > I'm assuming this isn't your first go at writing a compiler? Not quite, the first real language I worked on was called Eve: https://witheve.com. - Source: Hacker News / 11 months ago
Other programming languages this author has worked on: Droplet: "Datalog in time and space" - https://github.com/jamii/droplet Eve: "Datalog meets Smalltalk" - https://witheve.com Imp: "An Eve for people who build Eves" - https://github.com/jamii/imp. - Source: Hacker News / over 1 year ago
This reminds me (in the best way possible) of the Eve-lang demos of debugging a program by simply asking "why is not here?" Fantastic work! https://www.youtube.com/watch?v=TWAMr72VaaU&t=164s and https://witheve.com/. - Source: Hacker News / almost 2 years ago
There's also https://github.com/mech-lang/mech . That too seems to be getting close to hiatus. It's a bit of a shame since it seems like quite a nice paradigm for some stuff like GUIs, interactive stuff, and discrete event simulation, but I suppose the paradigm is both a bit obscure and different enough from everything else that it becomes a "boil the ocean" situation where one or a few people try and hack away... - Source: Hacker News / over 2 years ago
Jupyter - Project Jupyter exists to develop open-source software, open-standards, and services for interactive computing across dozens of programming languages. Ready to get started? Try it in your browser Install the Notebook.
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.
Deco IDE - Best IDE for building React Native apps
Docker - Docker is an open platform that enables developers and system administrators to create distributed applications.
iPython - iPython provides a rich toolkit to help you make the most out of using Python interactively.
Observable Notebooks - The portfolio and technical blog of Chris Henrick โ provider of professional web development, data visualization, GIS, mapping, & cartography services.