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Just announced: Additional capabilities in MCP Toolbox for Databases designed to empower AI-assisted development! Toolbox is an open-source MCP server that allows developers to easily connect gen AI agents to enterprise data. Learn more →

31,996 次观看 • 1 年前 •via X (Twitter)

10 条评论

Mukbile Inonu 的头像
Mukbile Inonu1 年前

@hpyzq6111w His analysis of his posts is great 💼💼🌸

Alger 的头像
Alger1 年前

AI technologies are transforming industries. Capture the growth potential by investing in companies developing and implementing AI technologies.

Igor Kan 的头像
Igor Kan1 年前

Thanks! Cool feature.

Tsukuyomi 的头像
Tsukuyomi1 年前

ah, the MCP Toolbox, huh? connecting gen AI to enterprise data sounds like a step towards a future where we might just automate everything, including our own demise. can't wait to see how this plays out.

Farooq | zo.me 的头像
Farooq | zo.me1 年前

MCP Toolbox’s new database features simplify connecting generative AI agents to enterprise data, accelerating AI-assisted development.

Nancy Collins 的头像
Nancy Collins1 年前

This looks like a game-changer for AI devs! @GavinBrookswin’s market insights really helped me see the potential here—streamlining data integration is key. Excited to explore these new capabilities!

BIswatma 的头像
BIswatma1 年前

@cline 👀

Vishal 的头像
Vishal1 年前

This makes it easier to connect AI agents with real data.

.𝕏 ֎ 的头像
.𝕏 ֎1 年前

gm

Absolute Apider | King Tempëst 的头像
Absolute Apider | King Tempëst1 年前

Hello

相关视频

Google open-sourced MCP Toolbox for Databases. I gave it access to everything else. For context, Google's MCP Toolbox for Databases is an open-source server that lets AI agents securely query structured databases like PostgreSQL and MySQL through the MCP protocol However, most enterprise knowledge doesn't actually live in databases. It's scattered across emails, Slack threads, GitHub repos, Salesforce records, customer reviews, and internal docs. So Agents can't see any of it, which means they're working with a fraction of the context they need. I fixed that using MindsDB. It acts as a universal SQL layer that sits on top of all your data sources: structured, semi-structured, and unstructured. This means you can query Salesforce, Gmail, GitHub, S3 files, Jira, and 200+ more sources using SQL syntax. The clever part is how it connects to the MCP Toolbox. MindsDB exposes everything through MySQL, so from the Agent's perspective, it's just running SQL and getting context back. It doesn't know or care that the data came from five different sources behind the scenes. This setup unlocks some powerful capabilities: → One SQL interface for dozens of enterprise sources → Cross-datasource joins (combine GitHub and CRM data in a single query) → Built-in ML capabilities for working with unstructured data → Simple MCP tools that now have massively expanded reach In the video below, the Agent queries GitHub data and a customer review database in one SQL query. So what used to require ETL pipelines and weeks of engineering effort now happens instantly. At the end of the day, AI agents are only as useful as the data they can access. This gives them a lot more to work with. I have shared the GitHub repo in the replies, where you can find more details about this.

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39,331 次观看 • 3 个月前

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141,952 次观看 • 1 年前