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      "Description": "Integrate analytical data into your agent workflows to achieve superior business results. By connecting your agents with BigQuery, you can provide actionable insights directly to them. Move past standard analytics and utilize BigQuery's advanced features, such as forecasting, to generate higher-value intelligence.",
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  "ContentMarkdown": "# MCP Servers with a execute_sql tool\n\nEvery MCP server Pod knows of that exposes a execute_sql tool.\n\n10 servers, ordered by adoption — npm downloads where a package exists, then reported issue volume. None have been dialled by Pod yet, so every tool list here is publisher-reported and unverified.\n\n## [dbt](/mcp/dbt)\n\nDiscover, query, run, and manage your dbt projects directly from Claude. Browse models, sources, and lineage; query metrics from the semantic layer; and trigger jobs on the dbt platform. Make dbt a native part of your AI workflow that helps you understand your project, ship changes, and answer questions from your data faster, with full context and less friction.\n\n60 tools reported — Publisher-reported; not verified by Pod.\n\n## [Vendooly](/mcp/vendooly)\n\nVendooly is the action layer for Amazon: it connects your Seller Central (SP-API) and Amazon Ads data to Claude and makes them queryable in natural language.\n\nWhat you can do:\n• Sales & revenue: orders, revenue, sales velocity, diagnose drops.\n• Catalog & listings: products, listing issues and suppressed listings, catalog quality.\n• Pricing: your prices and competitors', Buy Box, repricing.\n• Inventory & FBA: stock, coverage, inbound shipments and discrepancies.\n• Amazon Ads (Sponsored Products): campaigns, ad groups, keywords, performance reports.\n\nRead and write, with a safety brake: before any change to prices, stock, budgets or campaigns, Vendooly shows exactly what is about to change (SKU/ASIN, before→after values, rows affected) and waits for your explicit confirmation. No surprise actions.\n\nPrivacy: each seller authorizes their own Amazon account via the official OAuth flow. Vendooly does not expose buyer personal data (no names, addresses or contact details). Data may come from periodically refreshed snapshots rather than real time; AI outputs are decision support and should be verified before acting.\n\nBuilt on the official Amazon SP-API and Amazon Ads APIs. By Vendooly S.r.l.\n\n77 tools reported — Publisher-reported; not verified by Pod.\n\n## [Floot](/mcp/floot)\n\nBuild and host full-stack apps using your own Claude subscription. No AI build credits required. Floot MCP Server exposes the entire platform as native Claude tool calls: create a project, write code, provision a database, enable auth, manage file storage, and deploy, all from a single conversation. Your Claude subscription does the building. Floot handles the infrastructure. One conversation in, one working, hosted app out. Works with Claude, Claude Code, and Cowork.\n\n46 tools reported — Publisher-reported; not verified by Pod.\n\n## [Hatchable](/mcp/hatchable)\n\nHatchable turns your conversations with Claude into real apps that live on the web. You describe what you want in plain words, and Claude builds it and puts it online at its own web address. No coding, no setup, nothing to install.\n\nEverything a real app needs is included:\n\n- A place to store your data, like signups, orders, bookings, or anything else your app collects\n\n- Sign-in for your users\n\n- A live web address you can open on any device and share with anyone with custom domains\n\n- Automatic emails and scheduled tasks, like a weekly summary or a reminder\n\n- A dashboard where you can see your app, your data, and everything Claude built\n\nWant changes? Just ask. Claude updates your live app in seconds, checks that it works, and fixes anything that breaks, all in the same conversation.\n\nPeople use Hatchable for booking pages, signup and intake forms, club and community sites, small business tools, dashboards, and ideas they want to try for real instead of just talking about.  It's also great when you just need a database for Claude to store things in and access.\n\nConnect your Hatchable account and describe your first app. It's free to try.\n\n34 tools reported — Publisher-reported; not verified by Pod.\n\n## [Yardi Matrix](/mcp/yardi-matrix)\n\nAsk straightforward questions about properties, markets and portfolios to get the answers you need from Yardi Matrix. Search properties by location, owner or risk profile; pull rent trends and occupancy metrics; benchmark portfolios against their markets; surface distressed assets and acquisition opportunities; and generate data-rich market intelligence reports. Yardi Matrix is designed for analysts, investors and asset managers who need reliable real estate data quickly to make informed decisions.\n\n33 tools reported — Publisher-reported; not verified by Pod.\n\n## [Supabase](/mcp/supabase)\n\nManage Supabase projects directly through Claude. Execute SQL queries on PostgreSQL databases, design and modify table schemas, deploy serverless edge functions, and configure user authentication. Access real-time logs for debugging, generate TypeScript types for your schema, create and apply database migrations, and manage development branches through natural language commands.\n\n32 tools reported — Publisher-reported; not verified by Pod.\n\n## [WyberAi](/mcp/wyberai)\n\nWyberAi is an AI app builder. This connector lets Claude create WyberAi projects, queue builds and edits, track build status, and publish finished apps to live public URLs — all against the user's own WyberAi account. Reads are free; builds consume the account's WyberAi credits at the same rates as the web editor. Free accounts include 50 credits.\n\n20 tools reported — Publisher-reported; not verified by Pod.\n\n## [Blaze SQL](/mcp/blaze-sql)\n\nBlazeSQL lets Claude query your database or warehouse with all the necessary context to get the correct answers.\n\nConnect to Snowflake, BigQuery, Redshift, Microsoft SQL Server, PostgreSQL, MySQL, AWS Athena, MariaDB, SQL Anywhere, Databricks, Clickhouse, and Oracle.\n\nWith context management, observability, and comprehensive access controls, BlazeSQL turns claude into an enterprise-ready AI Data Analyst for reliable self-service across your entire company.\n\nAs a comprehensive Business Intelligence layer, BlazeSQL also enables visualization, dashboards, advanced statistical analysis, predictive analytics, scheduled reports, and custom PDF or interactive HTML reports.\n\n12 tools reported — Publisher-reported; not verified by Pod.\n\n## [LixRay](/mcp/lixray)\n\nLixRay provides you a cloud repository. \n\nYour files live online, you and Claude share them, and every change is tracked. Claude can read your files, add new ones, and show you what changed. Works with any file type: notes, playbooks, lists, decks, skills, scripts.\n\nUse LixRay to build a source of truth for your life and work.\n\n12 tools reported — Publisher-reported; not verified by Pod.\n\n## [Google Cloud BigQuery](/mcp/google-cloud-bigquery)\n\nIntegrate analytical data into your agent workflows to achieve superior business results. By connecting your agents with BigQuery, you can provide actionable insights directly to them. Move past standard analytics and utilize BigQuery's advanced features, such as forecasting, to generate higher-value intelligence.\n\n5 tools reported — Publisher-reported; not verified by Pod.\n\n## For agents\n\nThis page has a [Markdown](/mcp/tool/execute-sql.md) and a [JSON](/mcp/tool/execute-sql.json) twin. Pod is also queryable over MCP at `https://api.askpod.ai/mcp/read`.",
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