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VS Code DataToRAGNo features have been listed yet.
DataToRAG's answer:
People who already live in an AI assistant on a desktop, Claude, Cursor, ChatGPT, and have hit the wall where it can read their work but not change it. Founders, operators and developers who keep real work in Google Workspace and Jira, usually across more than one account, and who want the assistant to finish a task rather than hand back something to copy and paste.
It's not a consumer mobile product. Getting value from it means connecting a real Workspace account and pointing an AI client at the endpoint
DataToRAG's answer:
Most AI connectors read your files but can't change them. Claude's built-in Google Drive connector will open the spreadsheet you've kept for years and summarise it, but there's no appending a row or updating a cell in an existing Sheet, and its Gmail connector drafts mail without being able to send it.
DataToRAG is an MCP gateway that closes that gap. 76 hand-built tools across Google Workspace, Jira and Confluence, with real write verbs, behind a single URL you paste into Claude, Cursor or ChatGPT. It creates the sheet, asks you before it writes, and appends the rows โ on the same account, from the same question.
DataToRAG's answer:
Because you sign into it rather than build on it. Automation platforms hand you a builder and expect you to wire up auth, tokens and per-connector plumbing; DataToRAG is one Google sign-in and one endpoint.
What sits behind that endpoint is the part worth comparing: 54 hand-built tools across all 8 Google Workspace services with genuine write verbs, plus 22 for Jira and Confluence. Multi-account is native. Connect work and personal, run a free/busy lookup across both, and write to whichever you choose. Every write pauses for approval before it runs. It's MIT-licensed, so you can self-host the whole thing with Docker Compose, and it's a Google-verified app with CASA Tier 2 security approval.
DataToRAG's answer:
Built after repeatedly hitting the same wall using AI assistants for real work, the assistant could see everything in Workspace and change none of it, so every task ended in copy-paste. The gateway started as internal tooling to make an assistant actually finish the job, and is still run that way day to day.
DataToRAG's answer:
Next.js 16 and React 19 with TypeScript and Tailwind CSS v4. Postgres via Drizzle ORM, hosted on Neon. The gateway speaks the Model Context Protocol using the official MCP SDK, with the agent layer built on Mastra and the Vercel AI SDK against Anthropic models. Google Workspace and Atlassian REST APIs behind OAuth. Packaged with Docker Compose, with PostHog for analytics and Stripe for billing
Based on our record, VS Code seems to be more popular. It has been mentiond 1215 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.
Visual Studio Code, a code editor created by Microsoft, was first introduced on April 29, 2015, at the Build conference. - Source: dev.to / 20 days ago
The step up from there is an editor with a built-in agent like Cursor, Google Antigravity, Windsurf, or VS Code with a coding extension. These are code editors with an AI agent living inside them, and the difference is the responsible party for getting things from place to place. Instead of the software creator shuttling code between windows, the AI agent edits the project files directly and runs the GitHub and... - Source: dev.to / about 1 month ago
For IDE-heavy teams, BYOK (bring your own key) can be interesting, no matter whether you live in WebStorm or VS Code. On the JetBrains side, the JetBrains AI plans and Junie BYOK docs allow it, and most VS Code AI extensions offer the same idea: keep the IDE, connect provider keys, pay the provider. - Source: dev.to / about 2 months ago
Option 1: Raw editing in IDE. You open the .md file in VS Code or whatever you use. Syntax highlighting shows you the structure. Maybe you toggle a preview pane. This works for quick edits but becomes painful for anything involving tables, diagrams, or complex formatting. - Source: dev.to / about 2 months ago
You'll need Python 3.8+ and pip for the quickstart, with venv recommended for isolation. Install the requests library for HTTP calls. VS Code with the Python extension works well as an editor, though PyCharm or Sublime Text work equally well. You'll also need a free Foxit developer account. - Source: dev.to / 2 months ago
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