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  "Title": "MCP Servers with a list_models tool | Pod",
  "Description": "Every MCP server Pod knows of that exposes a list_models tool.",
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      "Description": "SELLIT9 pays you for the clutter you no longer use. Connect SELLIT9 to Claude to browse our full catalog, get an instant quote for your exact item, its configuration and condition, and place your trade-in order without leaving the chat. Then ship your items for free or drop them off, we run the assessment, and you get paid.",
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      "Url": "https://askpod.ai/mcp/blackrock-advisor-center",
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      "Description": "Description\n\nAnalyze client portfolios, understand risk, stress test market scenarios, and compare investment alternatives. BlackRock Advisor Center brings Advisor Center 360° insights and analytics into Claude, so financial advisors can review a portfolio, see what drives risk, evaluate concentration and cost, and explore changes across ETFs, mutual funds, individual bonds, SMAs, model portfolios, and alternatives.\n\nWhat you can do:\n•\tAnalyze a portfolio across asset allocation, exposures, expenses, risk factors, and concentration\n•\tUnderstand what drives risk across holdings, asset classes, sectors, and factors\n•\tStress test historical or hypothetical scenarios and see which positions drive the outcome\n•\tIdentify triggers such as excess cash, concentrated stock, fund concentration, or unintended exposures\n•\tCompare investment alternatives, including ETFs, mutual funds, individual bonds, SMAs, model portfolios, and alternatives, and evaluate potential changes\n•\tBrowse model portfolios and construct proposed allocations.\nTry prompts like:\n•\t\"Review this client portfolio and tell me what stands out\"\n•\t\"What's driving the risk in this portfolio, and which holdings contribute most?\"\n•\t\"Is this portfolio too concentrated in any single stock or sector?\"\n•\t\"Stress test this portfolio against a 20% market drop\"\n•\t\"How would this portfolio hold up in a recession or if rates rise?\"\n•\t\"Is this portfolio holding too much cash, and what if I put it to work?\"\n•\t\"Show me the impact on risk and cost if I replace this fund\"\n•\t\"Compare this client portfolio against this model portfolio\"\n•\t\"Find a model portfolio for a moderate-risk income client\"\n•\t\"Show me ETFs, mutual funds, individual bonds, SMAs, model portfolios, or alternatives I could evaluate for this portfolio\"\n\nAll analysis is advisor driven. You bring the questions and client context, and the connector provides objective portfolio insights and analytics. It does not provide investment advice, recommend or place trades.",
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      "CheckedAt": "2026-09-20T06:15:26.990Z"
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      "Name": "Brixa Studio",
      "Url": "https://askpod.ai/mcp/brixa-studio",
      "JsonUrl": "https://askpod.ai/mcp/brixa-studio.json",
      "Description": "Brixa Studio turns your brand into living templates that any AI assistant can fill, resize, and render — straight from the chat.\n\nImport the designs you already have (Claude Design, Figma, Canva or your own files) and Brixa makes them reusable: your colors, fonts, logo and photos become brand tokens; the parts that change (headline, photo, price) become slots. From then on, producing a piece is one sentence: \"make the August promo with this photo\" — and out comes a finished, on-brand PNG or PDF, rendered server-side with a real layout engine.\n\nWhat you can do:\n- Onboard in minutes: bring your website or a PDF and get a starter kit of templates designed around your identity.\n- Generate social posts, stories, price lists, menus with QR codes, certificates, email headers and printable A4/A5 documents.\n- Turn your footage into on-brand video: composite a branded card over your own clip, or stitch a carousel into a reel — rendered server-side.\n- Auto-resize any design to sibling formats (story → square post) in one call.\n- Keep every piece on brand: contrast checks, brand-token inheritance and a design review tool (describe) built in.\n- Share templates and finished pieces to a public gallery, or keep them private per project with role-based access and admin approval.\n\nBrixa Studio is MCP-native: the assistant is the design tool. No canvas to learn, no drag and drop — you talk, your brand ships.",
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      "CheckedAt": "2026-09-27T06:20:59.626Z"
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      "Name": "Cargo",
      "Url": "https://askpod.ai/mcp/cargo",
      "JsonUrl": "https://askpod.ai/mcp/cargo.json",
      "Description": "Cargo is GTM infrastructure for AI assistants. Connect this MCP server and Claude can operate your Cargo workspace: discover and run connector actions across 130+ integrations, execute tools and agents, query your CRM and revenue data models, and read the playbooks and context your team already wrote.\n\nSign in with OAuth — no API key to paste. Your session binds to one workspace, so Claude sees your integrations, your models, and your credits.\n\nWhat you can do from chat:\n• Search the action catalog and see credit cost before anything runs\n• Enrich people and companies, look up CRM records, and call native platform ops\n• Run a single action or a batch across many records (with cost sampling before large runs)\n• Query workspace models with SQL-style selects, joins, and aggregates\n• Read workspace context — ICP definitions, playbooks, rubrics — before guessing how your team works\n\nAsk in plain English. Claude finds the right action, confirms cost when it matters, and brings results back into the conversation.\n\nBest for RevOps, sales ops, and GTM engineers who already live in Claude and want the research-to-action loop without leaving the chat. Building multi-step workflows, warehouse-wide SQL, or workspace-as-code deploys stays in the Cargo CLI — this connector is the runtime for in-conversation work.\n\nLearn more: https://www.getcargo.ai/mcp",
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      "CheckedAt": "2026-09-27T06:21:30.537Z"
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      "Name": "Fidence",
      "Url": "https://askpod.ai/mcp/fidence",
      "JsonUrl": "https://askpod.ai/mcp/fidence.json",
      "Description": "Fidence is the prediction layer between your company's data and the people and agents that act on it. Connect Fidence to Claude and you can turn your own data into a custom predictive model, score every record, and push the scores back into the tools where work happens, all from one conversation.\n\nWhat you can do:\n- Import from the tools you already use: monday.com, HubSpot, Salesforce, Snowflake or Databricks. Connect a source once in the Fidence app, then pick a board, a contact list or a table from Claude, and Fidence brings in the labelled rows to train on and the open rows to score.\n- Build a model on your own data: churn, lead scoring, customer lifetime value, fraud, demand forecasting and upsell. Start from a ready template, or point Fidence at your own dataset and target column.\n- See who is at risk and why: ranked scores with risk tiers, model quality (ROC AUC, precision, recall) and the features that drive the predictions.\n- Ask Fidence: questions like \"which customers are most likely to leave next month and what do they have in common\" go to Fidence's own analysis, with suggested follow-ups.\n- Write back: preview first, then write the scores back where the data came from (a board, your CRM contacts or your warehouse table) as new fields, so your automations and agents can act on them. Write-back always asks for confirmation. Very large CRM or warehouse write-backs are best run from the Fidence app.\n\nEvery model is trained only on your data, stays in your workspace, and reports its metrics and provenance so you can judge it before you rely on it. Scores show pseudonymous ids by default; full rows need your confirmation.\n\nRequires a Fidence account (sign in with Google at fidence-ai.com).",
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      "CheckedAt": "2026-09-27T06:05:06.579Z"
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    {
      "Slug": "primate-vision",
      "Name": "Primate Vision",
      "Url": "https://askpod.ai/mcp/primate-vision",
      "JsonUrl": "https://askpod.ai/mcp/primate-vision.json",
      "Description": "Primate Vision gives Claude the ability to actually watch and understand video.\n\nPoint it at a file or URL and ask questions in plain language: \"when does the forklift enter the aisle?\", \"count the people wearing hard hats\", \"what happens after the door opens?\" Claude gets back structured, grounded results — what was detected, where in the frame, and at which timestamp — instead of a vague summary.\n\nIt runs on Primate Intelligence's own scene-understanding models, built around predictive world models rather than frame-by-frame captioning. That means it reasons about objects persisting, moving, and interacting over time, so it holds up on questions that require tracking something across a clip rather than describing a single still.\n\nTypical uses: reviewing security and safety footage, auditing operational or manufacturing video, sports and performance breakdowns, media logging and search, and QA on anything captured on camera.\n\nGetting started takes about a minute. Sign up, create an API key, and connect — new accounts include free processing time, and no card is required for your first successful run. Usage-based pricing after that, with a free tier that stays free.",
      "ClaimedToolCount": 7,
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      "CheckedAt": "2026-09-27T06:14:42.792Z"
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    {
      "Slug": "promptwatch",
      "Name": "Promptwatch",
      "Url": "https://askpod.ai/mcp/promptwatch",
      "JsonUrl": "https://askpod.ai/mcp/promptwatch.json",
      "Description": "Monitor and optimize your brand's presence across AI Search. Query visibility scores, citations, sentiment, and AI-referred traffic directly from Claude. Compare competitors, find content gaps, and generate content that gets cited — without leaving your workflow.",
      "ClaimedToolCount": 67,
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      "CheckedAt": "2026-09-27T06:24:32.543Z"
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      "Slug": "roar-ai",
      "Name": "Roar AI",
      "Url": "https://askpod.ai/mcp/roar-ai",
      "JsonUrl": "https://askpod.ai/mcp/roar-ai.json",
      "Description": "Roar AI gives teams access to leading AI models and simple hosting for apps, agents and MCPs. This connector lets Claude do the console work for you: create and scope API keys, check spend and budgets, inspect requests, and run your apps end to end — deploy from GitHub, add a database or domain, set environment variables, read logs, roll back. Every action goes through the same permission checks as the console, so Claude can never do more than the person who connected it.",
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      "CheckedAt": "2026-09-27T06:04:13.724Z"
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      "Slug": "tekst",
      "Name": "Tekst",
      "Url": "https://askpod.ai/mcp/tekst",
      "JsonUrl": "https://askpod.ai/mcp/tekst.json",
      "Description": "Bring Tekst directly into Claude.\n\nAccess your customer operations data without switching tools. Explore automation workflows, investigate failed runs to understand exactly where a process broke down, and query your analytics data to uncover email volumes, trends, and team performance.\n\nWith Tekst MCP, you can identify bottlenecks across your business processes, inspect classification and extraction models, review connected integrations, and access relevant operational context. All from within Claude.\n\nTekst becomes a native part of your workflow while fully respecting your existing permissions, access controls, and security policies.\n\nRequires a Tekst account with MCP enabled.",
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      "CheckedAt": "2026-09-27T06:22:54.251Z"
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  "ContentMarkdown": "# MCP Servers with a list_models tool\n\nEvery MCP server Pod knows of that exposes a list_models tool.\n\n9 servers, ordered by decision readiness and adoption — GitHub stars and npm downloads where available, then reported issue volume. Pod has connected to 9 of them; the rest are publisher-reported and unverified.\n\n## [SELLIT9](/mcp/sellit9)\n\nSELLIT9 pays you for the clutter you no longer use. Connect SELLIT9 to Claude to browse our full catalog, get an instant quote for your exact item, its configuration and condition, and place your trade-in order without leaving the chat. Then ship your items for free or drop them off, we run the assessment, and you get paid.\n\n8 tools reported — Live. Answered with 8 tools.\n\n## [BlackRock Advisor Center](/mcp/blackrock-advisor-center)\n\nDescription\n\nAnalyze client portfolios, understand risk, stress test market scenarios, and compare investment alternatives. BlackRock Advisor Center brings Advisor Center 360° insights and analytics into Claude, so financial advisors can review a portfolio, see what drives risk, evaluate concentration and cost, and explore changes across ETFs, mutual funds, individual bonds, SMAs, model portfolios, and alternatives.\n\nWhat you can do:\n•\tAnalyze a portfolio across asset allocation, exposures, expenses, risk factors, and concentration\n•\tUnderstand what drives risk across holdings, asset classes, sectors, and factors\n•\tStress test historical or hypothetical scenarios and see which positions drive the outcome\n•\tIdentify triggers such as excess cash, concentrated stock, fund concentration, or unintended exposures\n•\tCompare investment alternatives, including ETFs, mutual funds, individual bonds, SMAs, model portfolios, and alternatives, and evaluate potential changes\n•\tBrowse model portfolios and construct proposed allocations.\nTry prompts like:\n•\t\"Review this client portfolio and tell me what stands out\"\n•\t\"What's driving the risk in this portfolio, and which holdings contribute most?\"\n•\t\"Is this portfolio too concentrated in any single stock or sector?\"\n•\t\"Stress test this portfolio against a 20% market drop\"\n•\t\"How would this portfolio hold up in a recession or if rates rise?\"\n•\t\"Is this portfolio holding too much cash, and what if I put it to work?\"\n•\t\"Show me the impact on risk and cost if I replace this fund\"\n•\t\"Compare this client portfolio against this model portfolio\"\n•\t\"Find a model portfolio for a moderate-risk income client\"\n•\t\"Show me ETFs, mutual funds, individual bonds, SMAs, model portfolios, or alternatives I could evaluate for this portfolio\"\n\nAll analysis is advisor driven. You bring the questions and client context, and the connector provides objective portfolio insights and analytics. It does not provide investment advice, recommend or place trades.\n\n29 tools reported — Live, but requires authorization before it will list tools. Publisher lists 29 tools.\n\n## [Brixa Studio](/mcp/brixa-studio)\n\nBrixa Studio turns your brand into living templates that any AI assistant can fill, resize, and render — straight from the chat.\n\nImport the designs you already have (Claude Design, Figma, Canva or your own files) and Brixa makes them reusable: your colors, fonts, logo and photos become brand tokens; the parts that change (headline, photo, price) become slots. From then on, producing a piece is one sentence: \"make the August promo with this photo\" — and out comes a finished, on-brand PNG or PDF, rendered server-side with a real layout engine.\n\nWhat you can do:\n- Onboard in minutes: bring your website or a PDF and get a starter kit of templates designed around your identity.\n- Generate social posts, stories, price lists, menus with QR codes, certificates, email headers and printable A4/A5 documents.\n- Turn your footage into on-brand video: composite a branded card over your own clip, or stitch a carousel into a reel — rendered server-side.\n- Auto-resize any design to sibling formats (story → square post) in one call.\n- Keep every piece on brand: contrast checks, brand-token inheritance and a design review tool (describe) built in.\n- Share templates and finished pieces to a public gallery, or keep them private per project with role-based access and admin approval.\n\nBrixa Studio is MCP-native: the assistant is the design tool. No canvas to learn, no drag and drop — you talk, your brand ships.\n\n54 tools reported — Live, but requires authorization before it will list tools. Publisher lists 54 tools.\n\n## [Cargo](/mcp/cargo)\n\nCargo is GTM infrastructure for AI assistants. Connect this MCP server and Claude can operate your Cargo workspace: discover and run connector actions across 130+ integrations, execute tools and agents, query your CRM and revenue data models, and read the playbooks and context your team already wrote.\n\nSign in with OAuth — no API key to paste. Your session binds to one workspace, so Claude sees your integrations, your models, and your credits.\n\nWhat you can do from chat:\n• Search the action catalog and see credit cost before anything runs\n• Enrich people and companies, look up CRM records, and call native platform ops\n• Run a single action or a batch across many records (with cost sampling before large runs)\n• Query workspace models with SQL-style selects, joins, and aggregates\n• Read workspace context — ICP definitions, playbooks, rubrics — before guessing how your team works\n\nAsk in plain English. Claude finds the right action, confirms cost when it matters, and brings results back into the conversation.\n\nBest for RevOps, sales ops, and GTM engineers who already live in Claude and want the research-to-action loop without leaving the chat. Building multi-step workflows, warehouse-wide SQL, or workspace-as-code deploys stays in the Cargo CLI — this connector is the runtime for in-conversation work.\n\nLearn more: https://www.getcargo.ai/mcp\n\n17 tools reported — Live, but requires authorization before it will list tools. Publisher lists 17 tools.\n\n## [Fidence](/mcp/fidence)\n\nFidence is the prediction layer between your company's data and the people and agents that act on it. Connect Fidence to Claude and you can turn your own data into a custom predictive model, score every record, and push the scores back into the tools where work happens, all from one conversation.\n\nWhat you can do:\n- Import from the tools you already use: monday.com, HubSpot, Salesforce, Snowflake or Databricks. Connect a source once in the Fidence app, then pick a board, a contact list or a table from Claude, and Fidence brings in the labelled rows to train on and the open rows to score.\n- Build a model on your own data: churn, lead scoring, customer lifetime value, fraud, demand forecasting and upsell. Start from a ready template, or point Fidence at your own dataset and target column.\n- See who is at risk and why: ranked scores with risk tiers, model quality (ROC AUC, precision, recall) and the features that drive the predictions.\n- Ask Fidence: questions like \"which customers are most likely to leave next month and what do they have in common\" go to Fidence's own analysis, with suggested follow-ups.\n- Write back: preview first, then write the scores back where the data came from (a board, your CRM contacts or your warehouse table) as new fields, so your automations and agents can act on them. Write-back always asks for confirmation. Very large CRM or warehouse write-backs are best run from the Fidence app.\n\nEvery model is trained only on your data, stays in your workspace, and reports its metrics and provenance so you can judge it before you rely on it. Scores show pseudonymous ids by default; full rows need your confirmation.\n\nRequires a Fidence account (sign in with Google at fidence-ai.com).\n\n19 tools reported — Live, but requires authorization before it will list tools. Publisher lists 19 tools.\n\n## [Primate Vision](/mcp/primate-vision)\n\nPrimate Vision gives Claude the ability to actually watch and understand video.\n\nPoint it at a file or URL and ask questions in plain language: \"when does the forklift enter the aisle?\", \"count the people wearing hard hats\", \"what happens after the door opens?\" Claude gets back structured, grounded results — what was detected, where in the frame, and at which timestamp — instead of a vague summary.\n\nIt runs on Primate Intelligence's own scene-understanding models, built around predictive world models rather than frame-by-frame captioning. That means it reasons about objects persisting, moving, and interacting over time, so it holds up on questions that require tracking something across a clip rather than describing a single still.\n\nTypical uses: reviewing security and safety footage, auditing operational or manufacturing video, sports and performance breakdowns, media logging and search, and QA on anything captured on camera.\n\nGetting started takes about a minute. Sign up, create an API key, and connect — new accounts include free processing time, and no card is required for your first successful run. Usage-based pricing after that, with a free tier that stays free.\n\n0 GitHub stars · 7 tools reported — Live, but requires authorization before it will list tools. Publisher lists 7 tools.\n\n## [Promptwatch](/mcp/promptwatch)\n\nMonitor and optimize your brand's presence across AI Search. Query visibility scores, citations, sentiment, and AI-referred traffic directly from Claude. Compare competitors, find content gaps, and generate content that gets cited — without leaving your workflow.\n\n67 tools reported — Live, but requires authorization before it will list tools. Publisher lists 67 tools.\n\n## [Roar AI](/mcp/roar-ai)\n\nRoar AI gives teams access to leading AI models and simple hosting for apps, agents and MCPs. This connector lets Claude do the console work for you: create and scope API keys, check spend and budgets, inspect requests, and run your apps end to end — deploy from GitHub, add a database or domain, set environment variables, read logs, roll back. Every action goes through the same permission checks as the console, so Claude can never do more than the person who connected it.\n\n80 tools reported — Live, but requires authorization before it will list tools. Publisher lists 80 tools.\n\n## [Tekst](/mcp/tekst)\n\nBring Tekst directly into Claude.\n\nAccess your customer operations data without switching tools. Explore automation workflows, investigate failed runs to understand exactly where a process broke down, and query your analytics data to uncover email volumes, trends, and team performance.\n\nWith Tekst MCP, you can identify bottlenecks across your business processes, inspect classification and extraction models, review connected integrations, and access relevant operational context. All from within Claude.\n\nTekst becomes a native part of your workflow while fully respecting your existing permissions, access controls, and security policies.\n\nRequires a Tekst account with MCP enabled.\n\n47 tools reported — Live, but requires authorization before it will list tools. Publisher lists 47 tools.\n\n## For agents\n\nThis page has a [Markdown](/mcp/tool/list-models.md) and a [JSON](/mcp/tool/list-models.json) twin. Pod is also queryable over MCP at `https://api.askpod.ai/mcp/read`.",
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