The All-in-One AI Plugin for Data Architects

Skills for data architects 15

• architectureRuns architecture decisions end to end, weighing trade-offs and writing the ADR. Example: documenting why you chose Postgres over DynamoDB for billing.
• database designGuides schema, index, ORM, and serverless database choices. Example: adding a composite index so your order lookup drops from seconds to milliseconds.
• database architectDesigns a data layer from scratch and selects technology. Example: planning a sharded customer store that scales past 500 million rows.
• agency senior architectCompares microservices against monoliths, draws architecture diagrams, and analyzes dependencies. Example: showing which three services can split first without breaking reporting.
• agency database schema designerBuilds ERDs, normalizes schemas, and plans migrations. Example: turning a messy spreadsheet of customer tables into a third normal form model.
• data management governance assistantCovers classification, governance, privacy, quality, and lifecycle. Example: drafting a data classification policy that tags PII before it reaches the warehouse.

Plus a start-here assistant, the prompt library and the app builder, and for members the daily brief.

Ready-made prompts 25

• Drafting Data Models4 prompts, like Design a Logical Data Model
• Writing Architecture Documentation3 prompts, like Architecture Decision Record
• Defining Data Governance Policies3 prompts, like Data Classification Policy Development
• Mapping Data Flows And Integrations3 prompts, like Draft A Source-To-Target Mapping
• Selecting Databases And Platforms3 prompts, like Build A Database Comparison Matrix
• Optimizing Queries And Storage3 prompts, like Rewrite A Slow SQL Query
• Explaining Designs To Stakeholders2 prompts, like Translate Data Architecture Into Business Terms

Apps you can build with AI 4

• Architecture decision retrieval mapBuild it to trace why a design was chosen and when that reasoning changed, so new engineers stop re-litigating old decisions. Demo included.
• Data contract drift watchBuild it to connect schema drift to the documented consumers it breaks, before a downstream team finds out in production. Demo included.
• Data migration preparationBuild it to produce reviewable mappings and preflight reconciliation, so migration writes start only after the numbers match. Demo included.
• Managed data pipeline delivery workspaceBuild it to cut pipeline coordination effort while keeping data current, reviewed, and auditable across teams. Demo included.

AI agents 12

In the download. An agent runs a whole recurring task for you, step by step, and asks you before anything important. Ask your AI: "Run the Data Pipeline Schema Adaptation Agent". Each one also has a guided set-up with sample data on its page.

• Data Pipeline Schema Adaptation AgentPipelines adapt to upstream changes without corrupting data.
• Integration Setup Verification AgentConfirm that data flows correctly in both directions before an integration is marked complete.
• Index Usage and Redundancy Review AgentFewer needless indexes with every drop tested against real queries
• Sensitive Data Discovery AgentA verified map of where sensitive data lives, with mismatches fixed or accepted
• Blockchain Use Case Feasibility Screen AgentA fair, documented screen of a blockchain proposal with a clear recommendation
• Data Flow Privacy Review AgentHave every new feature's personal data flows mapped and checked before launch
• Digital Collection Metadata Migration AgentA clean migration of records with counts and sample checks that match.
• Data Quality Issue Triage AgentEvery data quality report reproduced, sized and routed to the right owner
• Database Schema Change Rehearsal AgentA schema migration proven safe on production-like data with a rollback plan
• Dashboard Data Trust AgentDashboards that are either correct and current, or clearly marked when they are not
• Slow Query Optimization AgentThe heaviest queries made faster with proven, safe changes
• Database Capacity and Growth AgentNo database hits a capacity limit unplanned

Connections (MCP servers) 12

A guide in the download. A connection lets your AI work in an app you already use. You add only the ones you use: ask your AI "Which apps can you connect to?" and follow the steps on each connection's page.

• BigQuery MCP serverLets your AI look at your BigQuery tables and run SQL queries for you.
• DBConvert Streams MCP serverLet your AI read your databases, files and S3 storage, and run read-only queries across all of them at once. Official.
• ClickHouse MCP serverLets your AI look at your ClickHouse database, run read queries, and make careful changes when you allow it.
• Sqemo MCP serverLet your AI design database diagrams that follow your team's naming rules, and check them against a real database.
• Azure Data Explorer MCP serverLet your AI run KQL queries and explore your Azure Data Explorer tables for you.
• SqlAugur MCP serverLets your AI safely read your SQL Server databases and explain their structure.
• PostgreSQL MCP serverLets your AI look inside a PostgreSQL database: explore tables, run read-only queries, and check performance.
• Couchbase MCP serverLets your AI look inside your Couchbase database, run queries, and explain what it finds, in plain words. Official.
• dbt MCP serverLets your AI look up dbt models, metrics, and docs, and run dbt commands for you. Official.
• Neo4j MCP serversLet your AI ask questions of a Neo4j database, remember facts as a knowledge graph, and manage Aura instances.
• Database MCP server (MySQL, PostgreSQL, SQLite, Oracle)Lets your AI look inside your databases, run queries, and explain what the data means.
• PostgreSQL MCP server (MCPg)Lets your AI look inside a PostgreSQL database, answer questions about the data, and suggest fixes for slow queries. No install needed.

Your Grok Bot team 12

• Database ArchitectDesigns scalable, performant data layers from scratch or re-architects existing ones.
• Database DesignDesigns schemas, selects databases and ORMs, and optimizes queries based on your context.
• Data EngineerDesigns and builds scalable data pipelines, warehouses, and streaming architectures for reliable analytics infrastructure.
• Senior Data EngineerDesigns and maintains scalable data pipelines and infrastructure for production data systems.
• Database Schema DesignerDesigns production-ready SQL and NoSQL schemas with normalization, indexing, and migration scripts.
• Database OptimizerTune queries, indexes, and architecture for measurable database performance gains.
• Database Migration PlannerPlans and validates cross-provider database migrations with rollback and downtime estimates.
• WarehousePlan and review read-only warehouse analysis with explicit scope and validation checks. No schema guessing or write operations. Hand off admin, pipeli
• ArchitectureAnalyzes requirements, evaluates trade-offs, and documents architecture decisions with ADRs.
• Documentation And AdrsRecords the why behind architectural decisions and code changes.
• Codebase ExplorerAnalyzes unfamiliar codebases and produces a structured mental model with tech stack, architecture, and key patterns.
• HlbpaProduces high-level architectural docs and reviews for codebases, focusing on interfaces, flows, and failure modes.