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      "Description": "Use Arcana's suite of portfolio intelligence tools through a natural language interface. Analyze real-time portfolio and single stock analytics. Attribute performance across names, factors, and custom groups. Workflows built for analysts, PMs, risk managers, CIOs, and allocators. Just ask about your portfolio to get started: \"How is [book name] performing YTD\"",
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      "Description": "Birch is an ad automation platform used by performance marketing teams and agencies to manage campaigns across Meta Ads, Google Ads, TikTok Ads and Snapchat Ads. Automation rules handle the repetitive work: pausing losers, scaling winners, guarding CPA and ROAS, catching creative burnout.\n\nThis connector puts that rule layer in your AI client. Ask what your rules did last night and why a specific ad set was paused, with the exact metric values the rule evaluated. Audit a full rule set for overlaps, contradictory actions and thresholds with no volume guard. Find rules that never fire and rules that fire on everything.\n\nThen fix what you find. Enable and disable rules, rename them, move them between folders, duplicate them across workspaces, change which ad accounts they run on, and update their entity filters.\n\nBuilt for media buyers, growth teams and agencies managing many accounts. Every call respects your Birch workspace permissions and is validated the same way as the web app.",
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      "Description": "Drivetrain is an AI-native business planning platform for finance teams. This connector lets Claude work directly with your company's Drivetrain workspace, so you can ask questions of your actual and forecast data.\n\nWith the Drivetrain connector, Claude can:\n\n- Find and explain metrics: search your metric catalog, inspect how a metric is defined, and review its formula and dimensions before using it.\n- Query results: pull metric values across any time range, scenario, version, or dimension breakdown (region, product, department, cohort) to compare actuals against budget, plan, and forecast.\n- Explore dimensions and lists: browse dimension values and reference lists so numbers can be sliced the way your business is organized.\n- Work with datasets: list datasets and columns, inspect column values, and review or update the transformations applied to source data from your ERP, CRM, HRIS, and billing systems.\n- Build and update boards: create new dashboards in Drivetrain or update existing ones straight from a conversation.\n- Check model logic: validate formulas and read model definitions before making changes.\n- Search Drivetrain's product documentation for how-to guidance.\n\nAccess is authorized with OAuth against the user's own Drivetrain account, so Claude sees only the data that user can already access in the product.\n\nTypical uses: month-end variance commentary, board and QBR prep, scenario and version comparisons, quick answers to questions like \"what was net revenue retention by segment last quarter\", and drafting a dashboard for a new business review.",
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      "Description": "Bring your brand intelligence into every AI workflow.\nThe Dash Social MCP connects your brand, performance, competitive, and community intelligence directly to Claude. Instead of manually copying data between platforms, Claude gets the real-time brand context it needs to deliver more relevant, on-brand recommendations and actions.\nHere are a few ways teams are already using the Dash Social MCP to elevate their social media management:\n- Performance Reporting: Ask Claude to pull the latest data from Dash and populate your team's reporting template, then share it via Slack once it's approved. No more manual data pulls.\n- Post Performance and Creative Intelligence: Dig into post-level data across channels, including owned and UGC content. Analyze performance by post type, format, and theme without building manual reports.\n- Content Scheduling: Identify gaps in your calendar, pull assets from your content library, draft them into posts across brands and channels, and schedule directly into Dash at your best times to post.\n- Brand Health Monitoring: Set up a workflow that checks for shifts in mention volume or negative sentiment and alerts your team with actionable takeaways the moment something changes.\n- Community Insights: Surface what your audience is saying. The MCP gives you access to comment and DM data, top keywords, sentiment breakdowns, and community overview metrics — all read-only, so nothing gets changed without your intent.\n- Competitive Research: Ask Claude to research your brand's positioning and public perception with Dash's competitive benchmarks and industry data built right in.\nThese are just some of the possibilities, but the only limit is your imagination.",
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      "Description": "The Finance Toolkit gives AI assistants access to 200+ financial metrics calculated transparently from raw financial statements. This includes financial statements, historical prices, analyst estimates, 80+ fundamental ratios, 30+ technical indicators, 20+ risk and performance metrics, and 50+ macro and fixed income indicators.\n\nA Financial Modeling Prep API key is required to access 30+ years of financial data. Obtain one at [jeroenbouma.com/fmp](https://jeroenbouma.com/fmp). Authenticate once via OAuth, no key is stored on the server. Rate limit fallback to Yahoo Finance is built in, and macro databases from OECD and GMDB are accessed independently.",
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  "ContentMarkdown": "# MCP Servers with a search_metrics tool\n\nEvery MCP server Pod knows of that exposes a search_metrics tool.\n\n8 servers, ordered by decision readiness and adoption — GitHub stars and npm downloads where available, then reported issue volume. Pod has connected to 5 of them; the rest are publisher-reported and unverified.\n\n## [Steep](/mcp/steep)\n\nSteep MCP lets Claude query your semantic layer. Retrieve metrics, targets, dimensions, and workspace data — keeping your analytics accessible and in context while you work. Compose findings into shareable Steep reports.\n\n9 GitHub stars · 14 tools reported — Live, but requires authorization before it will list tools. Publisher lists 14 tools.\n\n## [Arcana](/mcp/arcana)\n\nUse Arcana's suite of portfolio intelligence tools through a natural language interface. Analyze real-time portfolio and single stock analytics. Attribute performance across names, factors, and custom groups. Workflows built for analysts, PMs, risk managers, CIOs, and allocators. Just ask about your portfolio to get started: \"How is [book name] performing YTD\"\n\n34 tools reported — Live, but requires authorization before it will list tools. Publisher lists 34 tools.\n\n## [Birch Production](/mcp/birch-production)\n\nBirch is an ad automation platform used by performance marketing teams and agencies to manage campaigns across Meta Ads, Google Ads, TikTok Ads and Snapchat Ads. Automation rules handle the repetitive work: pausing losers, scaling winners, guarding CPA and ROAS, catching creative burnout.\n\nThis connector puts that rule layer in your AI client. Ask what your rules did last night and why a specific ad set was paused, with the exact metric values the rule evaluated. Audit a full rule set for overlaps, contradictory actions and thresholds with no volume guard. Find rules that never fire and rules that fire on everything.\n\nThen fix what you find. Enable and disable rules, rename them, move them between folders, duplicate them across workspaces, change which ad accounts they run on, and update their entity filters.\n\nBuilt for media buyers, growth teams and agencies managing many accounts. Every call respects your Birch workspace permissions and is validated the same way as the web app.\n\n20 tools reported — Live, but requires authorization before it will list tools. Publisher lists 20 tools.\n\n## [Drivetrain](/mcp/drivetrain)\n\nDrivetrain is an AI-native business planning platform for finance teams. This connector lets Claude work directly with your company's Drivetrain workspace, so you can ask questions of your actual and forecast data.\n\nWith the Drivetrain connector, Claude can:\n\n- Find and explain metrics: search your metric catalog, inspect how a metric is defined, and review its formula and dimensions before using it.\n- Query results: pull metric values across any time range, scenario, version, or dimension breakdown (region, product, department, cohort) to compare actuals against budget, plan, and forecast.\n- Explore dimensions and lists: browse dimension values and reference lists so numbers can be sliced the way your business is organized.\n- Work with datasets: list datasets and columns, inspect column values, and review or update the transformations applied to source data from your ERP, CRM, HRIS, and billing systems.\n- Build and update boards: create new dashboards in Drivetrain or update existing ones straight from a conversation.\n- Check model logic: validate formulas and read model definitions before making changes.\n- Search Drivetrain's product documentation for how-to guidance.\n\nAccess is authorized with OAuth against the user's own Drivetrain account, so Claude sees only the data that user can already access in the product.\n\nTypical uses: month-end variance commentary, board and QBR prep, scenario and version comparisons, quick answers to questions like \"what was net revenue retention by segment last quarter\", and drafting a dashboard for a new business review.\n\n22 tools reported — Live, but requires authorization before it will list tools. Publisher lists 22 tools.\n\n## [Pulsora MCP - PreProd](/mcp/pulsora-mcp-preprod)\n\nPulsora MCP Connector for accessing the Pulsora PreProd environment\n\n27 tools reported — Live, but requires authorization before it will list tools. Publisher lists 27 tools.\n\n## [Dash Social MCP](/mcp/dash-social-mcp)\n\nBring your brand intelligence into every AI workflow.\nThe Dash Social MCP connects your brand, performance, competitive, and community intelligence directly to Claude. Instead of manually copying data between platforms, Claude gets the real-time brand context it needs to deliver more relevant, on-brand recommendations and actions.\nHere are a few ways teams are already using the Dash Social MCP to elevate their social media management:\n- Performance Reporting: Ask Claude to pull the latest data from Dash and populate your team's reporting template, then share it via Slack once it's approved. No more manual data pulls.\n- Post Performance and Creative Intelligence: Dig into post-level data across channels, including owned and UGC content. Analyze performance by post type, format, and theme without building manual reports.\n- Content Scheduling: Identify gaps in your calendar, pull assets from your content library, draft them into posts across brands and channels, and schedule directly into Dash at your best times to post.\n- Brand Health Monitoring: Set up a workflow that checks for shifts in mention volume or negative sentiment and alerts your team with actionable takeaways the moment something changes.\n- Community Insights: Surface what your audience is saying. The MCP gives you access to comment and DM data, top keywords, sentiment breakdowns, and community overview metrics — all read-only, so nothing gets changed without your intent.\n- Competitive Research: Ask Claude to research your brand's positioning and public perception with Dash's competitive benchmarks and industry data built right in.\nThese are just some of the possibilities, but the only limit is your imagination.\n\n40 tools reported — Publisher-reported; not verified by Pod.\n\n## [Finance Toolkit Desktop Extension](/mcp/finance-toolkit-desktop-extension)\n\nThe Finance Toolkit gives AI assistants access to 200+ financial metrics calculated transparently from raw financial statements. This includes financial statements, historical prices, analyst estimates, 80+ fundamental ratios, 30+ technical indicators, 20+ risk and performance metrics, and 50+ macro and fixed income indicators.\n\nA Financial Modeling Prep API key is required to access 30+ years of financial data. Obtain one at [jeroenbouma.com/fmp](https://jeroenbouma.com/fmp). Authenticate once via OAuth, no key is stored on the server. Rate limit fallback to Yahoo Finance is built in, and macro databases from OECD and GMDB are accessed independently.\n\n25 tools reported — Publisher-reported; not verified by Pod.\n\n## [Visier](/mcp/visier)\n\nAsk Vee questions about your people and work data in Visier. Get insights on work performance, employee satisfaction, attrition predictions, and retention of key team members. Requires a Vee subscription.\n\n8 tools reported — Publisher-reported; not verified by Pod.\n\n## For agents\n\nThis page has a [Markdown](/mcp/tool/search-metrics.md) and a [JSON](/mcp/tool/search-metrics.json) twin. Pod is also queryable over MCP at `https://api.askpod.ai/mcp/read`.",
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