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  "Title": "MCP Servers with a list_tables tool | Pod",
  "Description": "Every MCP server Pod knows of that exposes a list_tables tool.",
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      "JsonUrl": "https://askpod.ai/mcp/aleph.json",
      "Description": "Aleph connects Claude to your live finance data. Plug directly into a governed source of truth for clean, structured cross-system data from 200+ integrations: your ERP, CRM, HRIS, spreadsheets, data warehouse, and more. Ask questions in plain language, build reports, run analysis, and power automations across tools, with every output traceable back to the source. Works in Claude and Claude for Excel.",
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      "JsonUrl": "https://askpod.ai/mcp/gis-cloud.json",
      "Description": "GIS Cloud is an AI-native, cloud GIS platform. Instead of clicking through a desktop GIS, you describe what you want and Claude does it across your whole account, covering the full lifecycle from field data capture to maps, analysis, apps, and reports.\n\nThe GIS Cloud MCP server lets Claude create and style maps and layers, add, edit, and query features, run spatial analysis and structured SQL over your data, build Mobile Data Collection forms for field teams, import files into PostGIS tables, manage tables, datasources, and bookmarks, render live interactive maps, and generate PDF and Excel reports.\n\nIt works through a propose-confirm model, so you approve every write and destructive actions are clearly flagged, with account-scoped OAuth access. ISO 27001 certified, serving organizations in 60+ countries.\n\nWhere GIS Cloud fits your workflow:\n\nIn the field: \"Create a Mobile Data Collection form for pothole inspections with severity, surface type, and photo fields, then bind it to a new layer so my crew can start collecting today.\"\n\nOn the map: \"Import this CSV of asset locations, put it on a new layer, and color the points by condition rating.\"\n\nThrough analysis: \"Find every parcel within 200 meters of the flood zone, then list the ten largest by area.\"\n\nEnd to end, in one ask: \"Map last month's bridge inspections, flag anything rated poor, and generate a PDF report with the inspector photos and notes.\"",
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      "Name": "Optilogic",
      "Url": "https://askpod.ai/mcp/optilogic",
      "JsonUrl": "https://askpod.ai/mcp/optilogic.json",
      "Description": "Make faster, better tactical decisions within the supply chain you have today and design the supply chain you need for tomorrow. Optilogic connects Claude to a platform that does both. Work with a live digital twin of your current supply chain powered by agentic AI that combines mathematical optimization, simulation, and demand modeling to support decisions across the full horizon, from day-to-day operational response to long-term network, transportation, inventory, and production strategies.\n\n- Run what-if scenario analysis on network design and sourcing models\n- Analyze demand at the SKU and location level, and trace how it's served across your network\n- Answer strategic and tactical routing questions to drive cost savings and service level improvements \n- Place safety stock across your full network and see what it costs to hit a given service level\n- Score risk across your network: single-source dependencies, demand/facility/supplier concentration, geographic exposure, capacity, and transport-time risk, so you know where to focus before a disruption \n- Model the impact of tariff scenarios\n- Design and compare network strategy across sourcing, manufacturing, distribution, and nearshoring scenarios\n- Stress-test a plan against real-world variability such as demand swings, delayed lead times, and capacity shocks\n- Compare multiple scenarios, sensitivity analysis at-scale, with output and critical insights auto-generated \n- Translate optimization model outputs into decision-ready formats for planners, finance, and executives\n\nBest for: S&OP/IBP leaders, network design teams, transportation teams, supply chain modelers and analysts, operational planners as well as executives who want a straight answer to a \"what if\" question without needing modeling expertise.\n\nRequires a free or paid Optilogic account. You will be redirected to Optilogic to sign in and authorize access. Your data and models stay secure and isolated in your own account.",
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      "Name": "Supabase",
      "Url": "https://askpod.ai/mcp/supabase",
      "JsonUrl": "https://askpod.ai/mcp/supabase.json",
      "Description": "Manage 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.",
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      "JsonUrl": "https://askpod.ai/mcp/whalesync.json",
      "Description": "Whalesync keeps data in sync between the tools your team already uses —\nAirtable, Webflow, HubSpot, Salesforce, Notion, Postgres, and more — with\ntwo-way sync that feels native in every app.\n\nWith this connector, Claude can set up and run syncs for you: create a sync\nbetween two apps, map tables and fields, validate the mapping, and turn the\nsync on. Once data is flowing, Claude can monitor it — check sync status,\nfind out why a record isn’t syncing, review held deletes, and retry failed\nwork after you fix the cause.\n\nConnecting your apps and approving anything irreversible always stays in\nyour hands: OAuth connections, starting a sync, and approving deletes happen\nin the Whalesync app, and Claude hands you a link at each of those steps.",
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      "JsonUrl": "https://askpod.ai/mcp/witcloud.json",
      "Description": "Ask questions about your business and get answers straight from your own data - no spreadsheets, no waiting on a report. WitCloud connects Claude to all your marketing, sales, and ecommerce data in one place, so you can explore customers, campaigns, and revenue just by chatting. Claude understands the context of your business, so the answers actually make sense for you.",
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      "Name": "Loam Data",
      "Url": "https://askpod.ai/mcp/loam-data",
      "JsonUrl": "https://askpod.ai/mcp/loam-data.json",
      "Description": "Loam is the database for Claude. Add the business data you already have, then ask questions in plain English and get answers grounded in real rows.\n\nUpload CSV, Excel, Parquet, TSV, and JSON files, or connect supported data sources. Claude can use Loam to analyze revenue, pipeline, campaigns, operations, and other business data without relying on pasted snapshots or prebuilt dashboards.\n\nAsk questions such as:\n• Which region had the highest revenue last quarter?\n• What changed most between this month’s export and last month’s?\n• Which products have the highest return rate?\n\nYou stay in control. When connecting Claude, you choose the Loam account it will use. Loam checks that account’s current permissions whenever Claude asks a question, so Claude can access only the data that account is allowed to use.\n\nLoam is built for founders and teams that want useful answers from their business data without waiting for a data team.",
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      "Name": "Collation MCP Server",
      "Url": "https://askpod.ai/mcp/collation-mcp-server",
      "JsonUrl": "https://askpod.ai/mcp/collation-mcp-server.json",
      "Description": "Collation sets up and manages a dedicated data warehouse for your investment data, then connects Claude directly to it. Your portfolios, positions, transactions, and performance data stay in your own warehouse — Claude queries it in place so you get answers without exporting or moving anything.\nAsk questions in plain language and Claude will run SQL against your warehouse, pull up dashboards, and reuse your saved queries.\nKey capabilities:\n\nRun SQL and explore tables across your own data warehouse\nCalculate time-weighted returns (TWR) for any portfolio or period\nAccess and build on your saved queries and dashboards\nBrowse schema and documentation to understand what's available\n\nBuilt for wealth managers, analysts, and operations teams who want fast, accurate answers from investment data they fully own and control.",
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      "Name": "MotherDuck",
      "Url": "https://askpod.ai/mcp/motherduck",
      "JsonUrl": "https://askpod.ai/mcp/motherduck.json",
      "Description": "Connect AI assistants to your MotherDuck data warehouse. Explore, visualize, and manage data using natural language–no SQL skills required. Create Dives: interactive visualizations that let you save and share answers with your team, staying up-to-date with your latest data. Works with real-world data without requiring semantic models or pre-configuration. Your AI assistant acts like a data analyst, exploring, validating, analyzing, and visualizing data iteratively to answer your questions.",
      "ClaimedToolCount": 15,
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    {
      "Slug": "clickhouse",
      "Name": "ClickHouse",
      "Url": "https://askpod.ai/mcp/clickhouse",
      "JsonUrl": "https://askpod.ai/mcp/clickhouse.json",
      "Description": "Connect Claude to your ClickHouse Cloud databases. Browse organizations, services, databases, and table schemas. Run read-only SQL queries against your data and get instant analytical answers. Monitor service backups, review billing costs, and inspect ClickPipe configurations - all through natural conversation.",
      "ClaimedToolCount": 13,
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      "Slug": "blaze-sql",
      "Name": "Blaze SQL",
      "Url": "https://askpod.ai/mcp/blaze-sql",
      "JsonUrl": "https://askpod.ai/mcp/blaze-sql.json",
      "Description": "BlazeSQL 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.",
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      "Slug": "evidence-studio",
      "Name": "Evidence Studio",
      "Url": "https://askpod.ai/mcp/evidence-studio",
      "JsonUrl": "https://askpod.ai/mcp/evidence-studio.json",
      "Description": "Evidence is an AI-powered BI tool for publishing reports using SQL and Markdown. This connector lets Claude work with your organization's live data and published reports on your behalf - securely, and scoped to your own permissions.\n\nAfter you connect your Evidence account, Claude can:\n- Browse table metadata\n- Run read-only queries against data stored in Evidence\n- Search your published reports by topic, metric, or term, and read a page's content or a structured summary of its queries and components\n- Retrieve AI context stored in Evidence - so answers match how your organization reports\n\nRequires an Evidence account with workspace access. \n\nLearn more at https://evidence.dev",
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    {
      "Slug": "microsoft-dataverse",
      "Name": "Microsoft Dataverse",
      "Url": "https://askpod.ai/mcp/microsoft-dataverse",
      "JsonUrl": "https://askpod.ai/mcp/microsoft-dataverse.json",
      "Description": "Connect AI assistants to Microsoft Dataverse to query, create, update, delete, and search data in Dataverse.",
      "ClaimedToolCount": 11,
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      "Description": "Drivepoint is the AI data and finance platform for consumer brands. Connect your sales, marketing, operations and finance data in one place, then use it to build reports, models and analyses with built-in consumer brand expertise and best practices. All the power of Claude pointed at a unified context and data layer built specifically for brands like yours.\nAfter a one-click OAuth sign-in, Claude can work directly with your Drivepoint data — exploring your warehouse, querying actuals, reviewing your financial plans, and producing reports and analyses grounded in your real numbers. No SQL or spreadsheet wrangling required.\nThe connector ships built-in analyst guidance — a data dictionary, sample queries, a report catalog, and artifact style guides — that Claude loads automatically so it uses the correct columns, metric definitions, and conventions for your data.\nEvery tool is read-only: the connector never writes, modifies, or deletes data. Access is limited to the companies your Drivepoint account is authorized for, and your data is fetched in real time and never stored by the connector.",
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      "Name": "DataSelf MCP+",
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      "Description": "DataSelf MCP+ connects AI assistants to your DataSelf SQL Server data warehouse, enabling users to explore business data and KPIs using natural language—without writing SQL or Python.\n\nUnlike a basic database connector, DataSelf MCP+ provides access to curated, governed, business-friendly models that consolidate data from multiple operational systems. Rich metadata supplies essential business context, while purpose-built star and galaxy schemas, optimized indexing, and efficient table relationships accelerate queries and reduce unnecessary data retrieval, processing, and AI-token usage. This shared foundation delivers consistent, trustworthy answers across AI assistants—including Claude, Copilot, Gemini, and ChatGPT—and analytics platforms such as Power BI, Tableau, and Excel.\n\nUsers authenticate through Microsoft OAuth 2.0, with access limited to their authorized DataSelf entities and data.\n\nCapabilities\n\nConfirm the authenticated user\nList accessible companies, divisions, and data warehouses\nDiscover available tables, views, schemas, and models\nRetrieve table and field metadata\nRun read-only SQL SELECT queries and return results\nReject writes, DDL, and multi-statement requests",
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  "ContentMarkdown": "# MCP Servers with a list_tables tool\n\nEvery MCP server Pod knows of that exposes a list_tables tool.\n\n15 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## [Aleph](/mcp/aleph)\n\nAleph connects Claude to your live finance data. Plug directly into a governed source of truth for clean, structured cross-system data from 200+ integrations: your ERP, CRM, HRIS, spreadsheets, data warehouse, and more. Ask questions in plain language, build reports, run analysis, and power automations across tools, with every output traceable back to the source. Works in Claude and Claude for Excel.\n\n116 tools reported — Publisher-reported; not verified by Pod.\n\n## [GIS Cloud](/mcp/gis-cloud)\n\nGIS Cloud is an AI-native, cloud GIS platform. Instead of clicking through a desktop GIS, you describe what you want and Claude does it across your whole account, covering the full lifecycle from field data capture to maps, analysis, apps, and reports.\n\nThe GIS Cloud MCP server lets Claude create and style maps and layers, add, edit, and query features, run spatial analysis and structured SQL over your data, build Mobile Data Collection forms for field teams, import files into PostGIS tables, manage tables, datasources, and bookmarks, render live interactive maps, and generate PDF and Excel reports.\n\nIt works through a propose-confirm model, so you approve every write and destructive actions are clearly flagged, with account-scoped OAuth access. ISO 27001 certified, serving organizations in 60+ countries.\n\nWhere GIS Cloud fits your workflow:\n\nIn the field: \"Create a Mobile Data Collection form for pothole inspections with severity, surface type, and photo fields, then bind it to a new layer so my crew can start collecting today.\"\n\nOn the map: \"Import this CSV of asset locations, put it on a new layer, and color the points by condition rating.\"\n\nThrough analysis: \"Find every parcel within 200 meters of the flood zone, then list the ten largest by area.\"\n\nEnd to end, in one ask: \"Map last month's bridge inspections, flag anything rated poor, and generate a PDF report with the inspector photos and notes.\"\n\n55 tools reported — Publisher-reported; not verified by Pod.\n\n## [Optilogic](/mcp/optilogic)\n\nMake faster, better tactical decisions within the supply chain you have today and design the supply chain you need for tomorrow. Optilogic connects Claude to a platform that does both. Work with a live digital twin of your current supply chain powered by agentic AI that combines mathematical optimization, simulation, and demand modeling to support decisions across the full horizon, from day-to-day operational response to long-term network, transportation, inventory, and production strategies.\n\n- Run what-if scenario analysis on network design and sourcing models\n- Analyze demand at the SKU and location level, and trace how it's served across your network\n- Answer strategic and tactical routing questions to drive cost savings and service level improvements \n- Place safety stock across your full network and see what it costs to hit a given service level\n- Score risk across your network: single-source dependencies, demand/facility/supplier concentration, geographic exposure, capacity, and transport-time risk, so you know where to focus before a disruption \n- Model the impact of tariff scenarios\n- Design and compare network strategy across sourcing, manufacturing, distribution, and nearshoring scenarios\n- Stress-test a plan against real-world variability such as demand swings, delayed lead times, and capacity shocks\n- Compare multiple scenarios, sensitivity analysis at-scale, with output and critical insights auto-generated \n- Translate optimization model outputs into decision-ready formats for planners, finance, and executives\n\nBest for: S&OP/IBP leaders, network design teams, transportation teams, supply chain modelers and analysts, operational planners as well as executives who want a straight answer to a \"what if\" question without needing modeling expertise.\n\nRequires a free or paid Optilogic account. You will be redirected to Optilogic to sign in and authorize access. Your data and models stay secure and isolated in your own account.\n\n37 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## [Whalesync](/mcp/whalesync)\n\nWhalesync keeps data in sync between the tools your team already uses —\nAirtable, Webflow, HubSpot, Salesforce, Notion, Postgres, and more — with\ntwo-way sync that feels native in every app.\n\nWith this connector, Claude can set up and run syncs for you: create a sync\nbetween two apps, map tables and fields, validate the mapping, and turn the\nsync on. Once data is flowing, Claude can monitor it — check sync status,\nfind out why a record isn’t syncing, review held deletes, and retry failed\nwork after you fix the cause.\n\nConnecting your apps and approving anything irreversible always stays in\nyour hands: OAuth connections, starting a sync, and approving deletes happen\nin the Whalesync app, and Claude hands you a link at each of those steps.\n\n24 tools reported — Publisher-reported; not verified by Pod.\n\n## [WitCloud](/mcp/witcloud)\n\nAsk questions about your business and get answers straight from your own data - no spreadsheets, no waiting on a report. WitCloud connects Claude to all your marketing, sales, and ecommerce data in one place, so you can explore customers, campaigns, and revenue just by chatting. Claude understands the context of your business, so the answers actually make sense for you.\n\n19 tools reported — Publisher-reported; not verified by Pod.\n\n## [Loam Data](/mcp/loam-data)\n\nLoam is the database for Claude. Add the business data you already have, then ask questions in plain English and get answers grounded in real rows.\n\nUpload CSV, Excel, Parquet, TSV, and JSON files, or connect supported data sources. Claude can use Loam to analyze revenue, pipeline, campaigns, operations, and other business data without relying on pasted snapshots or prebuilt dashboards.\n\nAsk questions such as:\n• Which region had the highest revenue last quarter?\n• What changed most between this month’s export and last month’s?\n• Which products have the highest return rate?\n\nYou stay in control. When connecting Claude, you choose the Loam account it will use. Loam checks that account’s current permissions whenever Claude asks a question, so Claude can access only the data that account is allowed to use.\n\nLoam is built for founders and teams that want useful answers from their business data without waiting for a data team.\n\n16 tools reported — Publisher-reported; not verified by Pod.\n\n## [Collation MCP Server](/mcp/collation-mcp-server)\n\nCollation sets up and manages a dedicated data warehouse for your investment data, then connects Claude directly to it. Your portfolios, positions, transactions, and performance data stay in your own warehouse — Claude queries it in place so you get answers without exporting or moving anything.\nAsk questions in plain language and Claude will run SQL against your warehouse, pull up dashboards, and reuse your saved queries.\nKey capabilities:\n\nRun SQL and explore tables across your own data warehouse\nCalculate time-weighted returns (TWR) for any portfolio or period\nAccess and build on your saved queries and dashboards\nBrowse schema and documentation to understand what's available\n\nBuilt for wealth managers, analysts, and operations teams who want fast, accurate answers from investment data they fully own and control.\n\n15 tools reported — Publisher-reported; not verified by Pod.\n\n## [MotherDuck](/mcp/motherduck)\n\nConnect AI assistants to your MotherDuck data warehouse. Explore, visualize, and manage data using natural language–no SQL skills required. Create Dives: interactive visualizations that let you save and share answers with your team, staying up-to-date with your latest data. Works with real-world data without requiring semantic models or pre-configuration. Your AI assistant acts like a data analyst, exploring, validating, analyzing, and visualizing data iteratively to answer your questions.\n\n15 tools reported — Publisher-reported; not verified by Pod.\n\n## [ClickHouse](/mcp/clickhouse)\n\nConnect Claude to your ClickHouse Cloud databases. Browse organizations, services, databases, and table schemas. Run read-only SQL queries against your data and get instant analytical answers. Monitor service backups, review billing costs, and inspect ClickPipe configurations - all through natural conversation.\n\n13 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## [Evidence Studio](/mcp/evidence-studio)\n\nEvidence is an AI-powered BI tool for publishing reports using SQL and Markdown. This connector lets Claude work with your organization's live data and published reports on your behalf - securely, and scoped to your own permissions.\n\nAfter you connect your Evidence account, Claude can:\n- Browse table metadata\n- Run read-only queries against data stored in Evidence\n- Search your published reports by topic, metric, or term, and read a page's content or a structured summary of its queries and components\n- Retrieve AI context stored in Evidence - so answers match how your organization reports\n\nRequires an Evidence account with workspace access. \n\nLearn more at https://evidence.dev\n\n11 tools reported — Publisher-reported; not verified by Pod.\n\n## [Microsoft Dataverse](/mcp/microsoft-dataverse)\n\nConnect AI assistants to Microsoft Dataverse to query, create, update, delete, and search data in Dataverse.\n\n11 tools reported — Publisher-reported; not verified by Pod.\n\n## [Drivepoint](/mcp/drivepoint)\n\nDrivepoint is the AI data and finance platform for consumer brands. Connect your sales, marketing, operations and finance data in one place, then use it to build reports, models and analyses with built-in consumer brand expertise and best practices. All the power of Claude pointed at a unified context and data layer built specifically for brands like yours.\nAfter a one-click OAuth sign-in, Claude can work directly with your Drivepoint data — exploring your warehouse, querying actuals, reviewing your financial plans, and producing reports and analyses grounded in your real numbers. No SQL or spreadsheet wrangling required.\nThe connector ships built-in analyst guidance — a data dictionary, sample queries, a report catalog, and artifact style guides — that Claude loads automatically so it uses the correct columns, metric definitions, and conventions for your data.\nEvery tool is read-only: the connector never writes, modifies, or deletes data. Access is limited to the companies your Drivepoint account is authorized for, and your data is fetched in real time and never stored by the connector.\n\n9 tools reported — Publisher-reported; not verified by Pod.\n\n## [DataSelf MCP+](/mcp/dataself-mcp)\n\nDataSelf MCP+ connects AI assistants to your DataSelf SQL Server data warehouse, enabling users to explore business data and KPIs using natural language—without writing SQL or Python.\n\nUnlike a basic database connector, DataSelf MCP+ provides access to curated, governed, business-friendly models that consolidate data from multiple operational systems. Rich metadata supplies essential business context, while purpose-built star and galaxy schemas, optimized indexing, and efficient table relationships accelerate queries and reduce unnecessary data retrieval, processing, and AI-token usage. This shared foundation delivers consistent, trustworthy answers across AI assistants—including Claude, Copilot, Gemini, and ChatGPT—and analytics platforms such as Power BI, Tableau, and Excel.\n\nUsers authenticate through Microsoft OAuth 2.0, with access limited to their authorized DataSelf entities and data.\n\nCapabilities\n\nConfirm the authenticated user\nList accessible companies, divisions, and data warehouses\nDiscover available tables, views, schemas, and models\nRetrieve table and field metadata\nRun read-only SQL SELECT queries and return results\nReject writes, DDL, and multi-statement requests\n\n5 tools reported — Publisher-reported; not verified by Pod.\n\n## For agents\n\nThis page has a [Markdown](/mcp/tool/list-tables.md) and a [JSON](/mcp/tool/list-tables.json) twin. Pod is also queryable over MCP at `https://api.askpod.ai/mcp/read`.",
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