MCP

What’s new in Databricks - September 2026?

Databricks shipped the following major GA launches in September 2026: 👉 Spark Declarative Pipelines (SDP): Lakeflow Spark Declarative Pipelines now feature structured maintenance windows for continuous runs, zero-reprocessing migrations (import_checkpoint), multi-source append flows, and explicit cascade deletion (cascade: true) for Unity Catalog tables. 👉Governance and ABAC Security: Metastore-level Attribute-Based Access Control policies and explicit DENY rules are now GA in Unity Catalog, automatically enforcing data protection and access rules across all present and future catalogs. 👉Connectors and Data Applications: Lakeflow Connectors reached GA for Anaplan, Anysphere, and Celigo, while Genie Ones MCP server was officially made generally available for AI assistant workflows. Full article 👉 https://community.databricks.com/t5/product-platform-updates/what-s-new-in-databricks-september-2026/ba-p/173896 submitted by /u/Youssef_Mrini [link] [comments]

What’s new in Genie One — September 2026 update ?

Databricks has introduced significant feature upgrades to Your favourite AI Co-worker: Genie One , expanding its web connectivity, third-party integrations, workspace accessibility and interactive steering controls. Integrations & Native Tooling Databricks-Provided MCP Connectors : Genie One and Genie Code natively support Model Context Protocol (MCP) connectors for tools like Google Drive, Gmail, Google Calendar, Microsoft 365, Atlassian, Slack, and GitHub. Public Web Search : Genie One can autonomously search the live web for up-to-date documentation, market trends, or release notes, providing clickable source citations. PowerPoint Support : Upload and analyze .pptx presentation files directly inside conversations. Multi-File Skills (Beta): Custom skills support nested file structures up to 3 folders deep and 50 text files/folders per skill. Real-Time Interaction & Memory Controls Backend Steering: Send real-time guidance or correction prompts to Genie One while it is generating an answer without waiting for execution to finish. Memory Confirmation Prompts (Beta) : When Genie One detects relevant facts or preferences, it prompts you to confirm, edit, or reject the suggestion before saving it to long-term memory. Pinned Chats: Pin important or active conversation threads to the top of the sidebar. Enterprise Access & Mobile Enhancements Account-Only User Access: Enterprise users registered in an Identity Provider (IdP) can access account-level Genie One without needing workspace assignments or consumer licenses. Mobile MCP Write Actions (Beta) : The Genie mobile app supports interactive write operations via connected MCP tools. Scheduled Task Push Notifications (Public Preview): Receive iOS push notifications for scheduled Genie tasks directly on mobile devices. Push notifications . The Takeaway: Transforms Genie One into an enterprise-wide AI assistant that connects natively to third-party tools, supports real-time steering, and expands access beyond individual workspace boundaries Full article 👉 https://personal.nextgenlakehouse.com/whats-new-in-genie-one-september-2026-update-347c0c08e8b7?postPublishedType=initial submitted by /u/Youssef_Mrini [link] [comments]

Databricks Genie Ontology Explained | Demo with Databricks Product Manager

Hey everyone! Elise Georis (PM at Databricks) partnered with me to do a 35-min deep-dive (chat + demo) on Genie Ontology. We covered a lot of ground and hope you enjoy learning more about it. Some of the topics covered: -Modeled ontology: governed metric views, Pages, and domains. -Learned ontology: snippets extracted from existing assets and how teams use them. -OntoRank: authorship, popularity, and source authority. -Text-to-SQL, Model Context Protocol (MCP) connectors, and search. -Source permissions, personal memory, citations, and tool governance. -Benchmark questions, domain experts, certified assets, and rollout evaluation. -Genie Ontology best practices -Much more! PS: I really appreciate your honest feedback. Knowing what really hits home for you in this video and/or what you feel the video could have done better helps me serve you better through my content! submitted by /u/JosueBogran [link] [comments]

Announcement | Meta’s ads MCP server comes to Databricks

What changed on Lakenaut after your feedback, and the site is now an MCP server you can plug into Claude

First of all, I really want to thank you everyone commented my latest post and encourage me to keep update and mantain the website. For the ones who miss my post is this one (for reference): https://www.reddit.com/r/databricks/s/S06gTMmm2P A few of you wrote in over the last two weeks, and most of it is live now. The short version, then one bigger thing. From the feedback "Too many categories, the docs' hierarchy is clearer." The sidebar groups now follow the Databricks documentation's domains (Platform & governance, Data engineering · Lakeflow, Data warehousing & BI, AI & ML), while each area keeps the name the workspace menu gives it. The sidebar is contextual: the doors are always there, the tree opens only where you are. "Finishing a page and moving on is one gesture." It is: Mark as done and Done, next sit together at the foot of every concept. "I want to know what moved." Every concept, area, path and roadmap now opens with a "What changed, and when" box, and /changes/ is the whole log by day: which page, what was done, and whether a person did it by hand or accepted a correction the agent drafted after the documentation changed. Every end-of-support row has its own address now, and search lands on it instead of on the list. A fifth way through the material is taking shape: practices, decision pages filed on the well-architected pillars. When to pick a thing, for whom, what choosing wrong costs. The first one is in draft. The bigger thing: an MCP server, no key Put the MCP URL (page below) into Claude, ChatGPT, Cursor or Claude Code and the assistant reads the published site instead of guessing: 170+ concepts, 8 paths, 5 roadmaps, the news, the resources, and the platform tables (what is in preview, what was renamed, what is ending). Thirteen read-only tools, 60 calls a minute per address, every answer links back to the page it came from. How to connect it: https://lakenaut.dev/developers/ Two questions If you plug it into an assistant, what is the first thing you ask it? I want to know whether people reach for prep, for "what is in preview", or for something I have not thought of. Is there a kind of page you keep wishing existed? The practices came from one comment. The next kind could come from yours. Again, thank you and let's connect! submitted by /u/imthenitto [link] [comments]

Problems with UC MCP connection

We built a supervisor agent where one of the tools is the native databricks MCP connection (which is in beta). Today, the agent doesn’t work. Removing the MCP tool fixes it, so it’s definitely that. The agent response just says “received an invalid and unexpected value from the API: undefined” Anyone else having problems suddenly with the MCP server? I’m able to hit the target MCP URL locally no problem. And even test the UC MCP in databricks successfully. So it’s something about the handshake between MCP and the supervisor agent submitted by /u/pboswell [link] [comments]

Genie One MCP is now GA

The Genie One MCP server is now GA. It exposes Genie One over MCP, allowing any agent to communicate with Genie One as a peer agent. The MCP exposes tools for asking questions to Genie One, getting query results, checking on incremental progress, and steering responses. These capabilities allow you to integrate Genie One into whatever agent you want without changing your workflow. And you get all of the semantics built-in instead of having to use raw SQL APIs with fragmented skills/stale markdown repos/additional semantic layers like we used to with ai devtools. Here are the docs: https://docs.databricks.com/aws/en/agents/mcp/genie-mcp I've seen some pretty cool use cases with integration into ChatGPT/Claude, but also headless agent workflows where you want to delegate the data questions to Genie One so it can use agents/ontology. Interested in folks' thoughts on the right/wrong use cases for this feature. submitted by /u/lakehouse_vacation [link] [comments]

What’s new in Databricks - August 2026

Databricks shipped many major Generally Available features in August 2026. Here is the breakdown of what just landed: 🚀 Unity AI Gateway Enterprise AI governance layer covering model access, Model Context Protocol (MCP) management, and cost observability. 🔒 Role-Based Access Control (RBAC) Switch to scoped, temporary role assumptions instead of dealing with permission bloat. 🔑 Secrets in Unity Catalog Unified security secrets are now governed, 3-level namespace securable objects. ⚙️ Serverless Compute Access Control Granular admin controls over who can trigger serverless workloads across your organization. ⚡ Lakebase Postgres APIs & LTAP Direct Writes Accelerated synced-table loads and improved transactional data integration. 🤖 Genie Agent Upgrades Official GA releases for both the Agent mode API and Full-page Genie Code view. submitted by /u/Youssef_Mrini [link] [comments]

Multiple Databricks Genie MCP connectors in one Claude workspace collapse into a single shared connector, anyone solved this?

We're connecting Claude (Cowork/Claude Desktop) to several separate Databricks workspaces, each with its own Genie space. Running into a platform-level snag and hoping someone's hit this before. Setup: each workspace exposes the standard Genie MCP endpoint ( https:// /api/2.0/mcp/genie ). We add each as its own connector in Claude so we can ask natural-language questions against the right workspace's data. Problem 1, generic connectors are indistinguishable: every Genie MCP server reports the same tool names and the same generic description, regardless of which workspace it's pointed at. Claude has no way to tell them apart from metadata alone, so it either has to probe each one (asking a neutral "what workspace is this?" question and checking the returned deep_link ) before it can route a question correctly, or it guesses wrong. Problem 2, trying to fix it with named connectors backfires: we tried building a Claude plugin that declares each of the seven as a distinct, fixed-name MCP server (e.g. genie-workspace-a , genie-workspace-b , ...), hoping deterministic names would remove the need for probing entirely. Turns out Claude's client recognizes Databricks Genie as a "verified" connector type in its directory, and collapses all seven fixed-name declarations into a single shared authorization instead of keeping them independent. Authorizing one silently becomes "the" Genie connection, and the others just reflect that same state rather than getting their own. Problem 3, working around the collapse trades one problem for another: we found that changing the declared URL slightly (adding a harmless query param) makes the client stop recognizing it as the verified type, which does force it down the plain custom-connector path and keeps it independent. But then it needs an actual registered OAuth client ID against that Databricks workspace, since it no longer gets whatever implicit OAuth handling the verified integration has. That means registering an app per workspace in Databricks/Azure just to get back to where the plain manual setup already was, more infrastructure, not less. So right now we're back to manually-added generic connectors plus a routing skill that probes and caches per conversation, which works, but costs a lookup the first time each workspace is used per session, and never scales cleanly as we add more workspaces. Has anyone gotten multiple Genie MCP connections into the same Claude account/org without them colliding into one shared authorization? Is there a way to deploy or configure the Genie MCP endpoint itself so each workspace reports distinguishable tool names or descriptions, rather than relying on the client to differentiate them? Btw, in Codex/chatgpt this is not an issue, because we can edit the description/name, and it automatically discovers the right plugin to use. It seems this is a very claude thing issue submitted by /u/Akroma188 [link] [comments]

Whether MCP server support for Genie is available in our workspace/region for free version.

I built an open-source Text-to-SQL agent for Databricks Unity Catalog

I've been working on an open-source side project called [Mega Djinn](https://github.com/ocelma/mega-djinn) to solve the *"where is this data?"* problem, and I wanted to share it with you all.  **1. What it does** You ask a natural language question (e.g., *"Which web pages kept readers engaged the longest last month?"*) and the agent handles the rest: 1. *Table Discovery*: Automatically finds the relevant tables and schemas inside Databricks Unity Catalog. 2. *Governance Enrichment*: (Optional) Pulls business definitions and approved SQL snippets from Alation to ground the prompt. 3. *Human-in-the-Loop*: Generates optimized SQL and displays it for your review before execution. 4. *Execution*: Runs the query on Databricks (via CLI or MCP server), returns the results, and generates an HTML report. 5. *Memory*: Saves successful queries back to the knowledge base so your team can reuse them. **2. Why I built it** Our data teams were drowning in repetitive ad-hoc requests from PMs and business stakeholders; people who have critical data questions but not enough SQL background. # The ultimate goal is to give non-technical users direct access to data insights without always depending on a data analyst. Mega Djinn is much simpler and lightweight than Vanna: it uses your existing data governance metadata (UC schemas + Alation definitions if available) to ground the context, making the generated SQL accurate to your specific business logic.  **3. The Tech Stack** * Core: Python + Databricks SDK * LLM Integration: Built as a Claude Code skill. Also works via Cursor, Codex, and Gemini CLI. [https://github.com/ocelma/mega-djinn](https://github.com/ocelma/mega-djinn) I would love to get your feedback, feature requests, or thoughts on how you handle text-to-SQL governance!

Genie UI MCP Server Connection Issue