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  "Title": "MCP Servers with a get_deals tool | Pod",
  "Description": "Every MCP server Pod knows of that exposes a get_deals tool.",
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      "Name": "Shoppable",
      "Url": "https://askpod.ai/mcp/shoppable",
      "JsonUrl": "https://askpod.ai/mcp/shoppable.json",
      "Description": "Shoppable's MCP Server is the first universal checkout integration built for AI assistants. Connect to a catalog of 500 million+ products across hundreds of merchants, search by keyword, category, price, or brand, and get real product details and pricing in real time. When you're ready to buy, you'll receive a checkout link, then complete your purchase on Shoppable with our patented multi-retailer universal checkout. No redirecting to multiple websites. No hunting. Shoppable makes online shopping simple.",
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      "Name": "Data Parrot",
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      "Description": "See which deals put your forecast at risk, what changed in your pipeline, which customers need attention, where reps need coaching, and why deals are won or lost, directly in the AI tools your team already uses.\n\nData Parrot brings its analysis and supporting details into your AI tools, so you can answer sales questions, create documents, and run workflows without explaining your business or rebuilding the analysis first.\n\nData Parrot learns how your company sells by combining HubSpot data with emails, calls, meetings, transcripts, and other connected activity.",
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      "Name": "Maven Bio",
      "Url": "https://askpod.ai/mcp/maven-bio",
      "JsonUrl": "https://askpod.ai/mcp/maven-bio.json",
      "Description": "Maven Bio gives Claude real-time structured life sciences data. Drug products, companies, clinical trials, indications, deals, financings, mechanisms, and targets, linked to each other and to the source documents behind them.\n\nAsk in plain language. Claude resolves the entity, pulls canonical records, then reads the primary source. \"AZD6738\" and \"ceralasertib\" land on the same drug. A landscape query returns the programs in a given indication. A claim about an approval traces back to the FDA letter itself.\n\nThe Maven Bio connector enables:\n\n- Resolving messy names, aliases, and internal codes to canonical entities\n- Proactively monitoring opportunities: FDA actions, trial readouts, and press releases scoped to the entities a monitor tracks, each signal carrying its source\n- Discovery by criteria: \"Phase 3 KRAS G12C inhibitors,\" \"public oncology companies with late-stage pipelines\"\n- Competitive landscaping by indication, grouped by phase, company, or mechanism\n- Evidence-based analysis: Search and read FDA filings, SEC filings, clinical papers, press releases, and conference abstracts as full text, structured sections, or extracted citations\n- Deal benchmarking: Public-company financials, financing rounds, and BD deals filterable by indication\n- Counts and aggregations across the entity graph\n\nMaven Bio MCP server authenticates every call, enforces read-only access and response limits. Users sign in with OAuth 2.1 against their existing Maven Bio identity.",
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      "Slug": "modjo",
      "Name": "Modjo",
      "Url": "https://askpod.ai/mcp/modjo",
      "JsonUrl": "https://askpod.ai/mcp/modjo.json",
      "Description": "Connect Claude to Modjo, the conversation intelligence platform that captures every sales interaction across your revenue team. Stop digging through your CRM — ask Claude anything about your pipeline and get sales-ready answers grounded in what actually happened.\n\nYou can use the Modjo connector to:\n- Prepare for your next meetings: \"I have a call with Acme Corp in 30 minutes. Give me a brief on where we stand, what we discussed last time, next steps that were discussed and what to focus on during the call.\"\n- Automate your meeting follow up: \"Summarize my call with John at Acme , list the action items on my side, and draft a follow-up email recapping next steps\"\n- Prioritize your pipeline: \"Review my open pipeline and rank the deals by where I should focus. Flag anything stalled and tell me the next move on each.\"\n- Coach your reps on key deals: \"Score rep's top open deals against MEDDPICC and tell me where to focus our next 1:1.\"\n- Revive lost opportunities: “Considering all the opportunities I closed lost last quarter, which ones have potential to be reopened?”",
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      "Name": "Proshort",
      "Url": "https://askpod.ai/mcp/proshort",
      "JsonUrl": "https://askpod.ai/mcp/proshort.json",
      "Description": "Proshort sits on your sales calls and your CRM: it records and analyses customer conversations, then writes the result back against the deal — call recaps, action items, MEDDICC analysis, risks, closure likelihood, competitor intelligence and rep performance.\n\nThis connector lets Claude read that, so you can ask what is actually happening in your pipeline instead of reconstructing it from memory, a CRM tab and last week's notes.\n\nWhat Claude can read:\n\n• Deals and pipeline — amounts, stages, owners, probabilities, dates and MEDDICC completion, the full activity timeline on a deal including the emails logged against it, and Proshort's analysis of each deal: summary, risks, closure likelihood, key people and competitors\n• Past calls — recordings you own or that were shared with you, with attendees, linked deals and sentiment, plus the AI summary of each one: recap, action items, pain points, questions asked, customer reactions and risks\n• Upcoming meetings — what is on your calendar, who is invited, and the join link\n• Team performance — aggregated per-rep deal counts, revenue, skill scores, meeting counts and sentiment\n• Filters and org chart — the stages, groups, departments and people you are permitted to filter by\n\nSo you can ask \"which deals are likely to close this month, and what is blocking the rest?\", \"what were the action items from my last three calls with Acme?\", or \"what is on my calendar tomorrow, and where do those deals stand?\" — and because Claude can combine these, the questions worth asking are the ones that would otherwise mean opening four screens: \"draft my follow-up to Acme using the pain points from yesterday's call and where the deal actually stands.\"\n\nAccess is read-only, nothing here can change a deal or a CRM record. Each person connects their own account and sees only what they can already see in Proshort. Word-for-word call transcripts are never returned.",
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      "Name": "Clozd",
      "Url": "https://askpod.ai/mcp/clozd",
      "JsonUrl": "https://askpod.ai/mcp/clozd.json",
      "Description": "Clozd's MCP puts your win-loss program to work inside Claude. Ask about deal outcomes, competitive threats, and buyer feedback in plain language — and get answers grounded in the interviews, surveys, and call data your program already captures.\n\nWhat you can do:\nUnderstand why deals are won and lost. Pull the decision drivers behind outcomes with sentiment breakdowns, roll them up by category, and read the verbatim buyer quotes behind each one.\nSize up the competition. See which competitors show up most often, how you fare against each, and what buyers say works for and against them.\nTrack win rates across any cut of your data. Filter by segment, region, product, rep, deal size, or any custom field in your program.\nGo back to the source. Retrieve full interview and survey transcripts, or AI-written summaries when you just need the gist.\nCompare what sellers heard to what buyers said. With Gong connected, see the drivers surfaced in sales calls and where they overlap with — or contradict — what buyers told your interviewers.\nCatch deals that need attention. Surface Insight Gems: accounts flagged as at-risk, likely to churn, or ready to expand.\nCheck on program delivery. See which deals are moving through each workflow, what stage they're in, and who's been contacted.\n\nQuestions to start with:\n\"Why did we lose to [competitor] in enterprise last quarter?\"\n\"What's our win rate by region this year?\"\n\"Show me buyer quotes about pricing from closed-lost deals.\"\n\"Which accounts are flagged at risk right now?\"\n\"Where do our sales calls and buyer interviews disagree?\"\n\nBuilt for revenue leaders, sellers, marketers, and product teams. Access follows your Clozd account, so you only see the programs and deals you already have permission to view.",
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      "Name": "Comparr",
      "Url": "https://askpod.ai/mcp/comparr",
      "JsonUrl": "https://askpod.ai/mcp/comparr.json",
      "Description": "Comparr is a price comparison service for France (comparr.fr, EUR) and the United States (comparr.co, USD). This connector gives Claude direct access to its catalog and to a price history that merchants don't publish.\n\nTools:\n- search_products: compare a product category or a specific model across merchants. Returns ranked products with every offer, the exact seller, the item condition and the date each price was checked. If no comparison exists yet, one is started and results arrive about a minute later.\n- get_product: all current offers for one product, plus a \"is now a good time to buy?\" verdict computed from the product's own recorded prices (a factual comparison, never a prediction).\n- get_price_history: price readings offer by offer, which tells a real price drop apart from a cheaper seller that just appeared.\n- get_deals: current price drops, each checked against a documented reference price (at least two days of readings), a fresh reading and the merchant's product page.\n\nEvery price comes with its seller, condition and check date, so Claude can say how recent it is. Prices are snapshots: only the merchant's price at checkout is binding.\n\nNo account and no API key are needed. Read tools are public; creating a new comparison is limited by a global daily quota.\n\nDisclosure: Comparr earns affiliate commissions (Amazon Associates, Awin). Offer links point to merchants through tracked links; rankings and prices are not paid placements.",
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      "Slug": "totem",
      "Name": "Totem",
      "Url": "https://askpod.ai/mcp/totem",
      "JsonUrl": "https://askpod.ai/mcp/totem.json",
      "Description": "Connect Totem to Claude to securely query your portfolio, deals, funds, LPs, company financials, valuations, transactions, cap tables, interactions, notes, news, and other fund data using natural language. Access is authenticated through your Totem account.",
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  "ContentMarkdown": "# MCP Servers with a get_deals tool\n\nEvery MCP server Pod knows of that exposes a get_deals 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## [Shoppable](/mcp/shoppable)\n\nShoppable's MCP Server is the first universal checkout integration built for AI assistants. Connect to a catalog of 500 million+ products across hundreds of merchants, search by keyword, category, price, or brand, and get real product details and pricing in real time. When you're ready to buy, you'll receive a checkout link, then complete your purchase on Shoppable with our patented multi-retailer universal checkout. No redirecting to multiple websites. No hunting. Shoppable makes online shopping simple.\n\n12 tools reported — Live. Answered with 13 tools.\n\n## [Data Parrot](/mcp/data-parrot)\n\nSee which deals put your forecast at risk, what changed in your pipeline, which customers need attention, where reps need coaching, and why deals are won or lost, directly in the AI tools your team already uses.\n\nData Parrot brings its analysis and supporting details into your AI tools, so you can answer sales questions, create documents, and run workflows without explaining your business or rebuilding the analysis first.\n\nData Parrot learns how your company sells by combining HubSpot data with emails, calls, meetings, transcripts, and other connected activity.\n\n12 tools reported — Live, but requires authorization before it will list tools. Publisher lists 12 tools.\n\n## [Maven Bio](/mcp/maven-bio)\n\nMaven Bio gives Claude real-time structured life sciences data. Drug products, companies, clinical trials, indications, deals, financings, mechanisms, and targets, linked to each other and to the source documents behind them.\n\nAsk in plain language. Claude resolves the entity, pulls canonical records, then reads the primary source. \"AZD6738\" and \"ceralasertib\" land on the same drug. A landscape query returns the programs in a given indication. A claim about an approval traces back to the FDA letter itself.\n\nThe Maven Bio connector enables:\n\n- Resolving messy names, aliases, and internal codes to canonical entities\n- Proactively monitoring opportunities: FDA actions, trial readouts, and press releases scoped to the entities a monitor tracks, each signal carrying its source\n- Discovery by criteria: \"Phase 3 KRAS G12C inhibitors,\" \"public oncology companies with late-stage pipelines\"\n- Competitive landscaping by indication, grouped by phase, company, or mechanism\n- Evidence-based analysis: Search and read FDA filings, SEC filings, clinical papers, press releases, and conference abstracts as full text, structured sections, or extracted citations\n- Deal benchmarking: Public-company financials, financing rounds, and BD deals filterable by indication\n- Counts and aggregations across the entity graph\n\nMaven Bio MCP server authenticates every call, enforces read-only access and response limits. Users sign in with OAuth 2.1 against their existing Maven Bio identity.\n\n16 tools reported — Live, but requires authorization before it will list tools. Publisher lists 16 tools.\n\n## [Modjo](/mcp/modjo)\n\nConnect Claude to Modjo, the conversation intelligence platform that captures every sales interaction across your revenue team. Stop digging through your CRM — ask Claude anything about your pipeline and get sales-ready answers grounded in what actually happened.\n\nYou can use the Modjo connector to:\n- Prepare for your next meetings: \"I have a call with Acme Corp in 30 minutes. Give me a brief on where we stand, what we discussed last time, next steps that were discussed and what to focus on during the call.\"\n- Automate your meeting follow up: \"Summarize my call with John at Acme , list the action items on my side, and draft a follow-up email recapping next steps\"\n- Prioritize your pipeline: \"Review my open pipeline and rank the deals by where I should focus. Flag anything stalled and tell me the next move on each.\"\n- Coach your reps on key deals: \"Score rep's top open deals against MEDDPICC and tell me where to focus our next 1:1.\"\n- Revive lost opportunities: “Considering all the opportunities I closed lost last quarter, which ones have potential to be reopened?”\n\n12 tools reported — Live, but requires authorization before it will list tools. Publisher lists 12 tools.\n\n## [Proshort](/mcp/proshort)\n\nProshort sits on your sales calls and your CRM: it records and analyses customer conversations, then writes the result back against the deal — call recaps, action items, MEDDICC analysis, risks, closure likelihood, competitor intelligence and rep performance.\n\nThis connector lets Claude read that, so you can ask what is actually happening in your pipeline instead of reconstructing it from memory, a CRM tab and last week's notes.\n\nWhat Claude can read:\n\n• Deals and pipeline — amounts, stages, owners, probabilities, dates and MEDDICC completion, the full activity timeline on a deal including the emails logged against it, and Proshort's analysis of each deal: summary, risks, closure likelihood, key people and competitors\n• Past calls — recordings you own or that were shared with you, with attendees, linked deals and sentiment, plus the AI summary of each one: recap, action items, pain points, questions asked, customer reactions and risks\n• Upcoming meetings — what is on your calendar, who is invited, and the join link\n• Team performance — aggregated per-rep deal counts, revenue, skill scores, meeting counts and sentiment\n• Filters and org chart — the stages, groups, departments and people you are permitted to filter by\n\nSo you can ask \"which deals are likely to close this month, and what is blocking the rest?\", \"what were the action items from my last three calls with Acme?\", or \"what is on my calendar tomorrow, and where do those deals stand?\" — and because Claude can combine these, the questions worth asking are the ones that would otherwise mean opening four screens: \"draft my follow-up to Acme using the pain points from yesterday's call and where the deal actually stands.\"\n\nAccess is read-only, nothing here can change a deal or a CRM record. Each person connects their own account and sees only what they can already see in Proshort. Word-for-word call transcripts are never returned.\n\n10 tools reported — Live, but requires authorization before it will list tools. Publisher lists 10 tools.\n\n## [Clozd](/mcp/clozd)\n\nClozd's MCP puts your win-loss program to work inside Claude. Ask about deal outcomes, competitive threats, and buyer feedback in plain language — and get answers grounded in the interviews, surveys, and call data your program already captures.\n\nWhat you can do:\nUnderstand why deals are won and lost. Pull the decision drivers behind outcomes with sentiment breakdowns, roll them up by category, and read the verbatim buyer quotes behind each one.\nSize up the competition. See which competitors show up most often, how you fare against each, and what buyers say works for and against them.\nTrack win rates across any cut of your data. Filter by segment, region, product, rep, deal size, or any custom field in your program.\nGo back to the source. Retrieve full interview and survey transcripts, or AI-written summaries when you just need the gist.\nCompare what sellers heard to what buyers said. With Gong connected, see the drivers surfaced in sales calls and where they overlap with — or contradict — what buyers told your interviewers.\nCatch deals that need attention. Surface Insight Gems: accounts flagged as at-risk, likely to churn, or ready to expand.\nCheck on program delivery. See which deals are moving through each workflow, what stage they're in, and who's been contacted.\n\nQuestions to start with:\n\"Why did we lose to [competitor] in enterprise last quarter?\"\n\"What's our win rate by region this year?\"\n\"Show me buyer quotes about pricing from closed-lost deals.\"\n\"Which accounts are flagged at risk right now?\"\n\"Where do our sales calls and buyer interviews disagree?\"\n\nBuilt for revenue leaders, sellers, marketers, and product teams. Access follows your Clozd account, so you only see the programs and deals you already have permission to view.\n\n27 tools reported — Publisher-reported; not verified by Pod.\n\n## [Comparr](/mcp/comparr)\n\nComparr is a price comparison service for France (comparr.fr, EUR) and the United States (comparr.co, USD). This connector gives Claude direct access to its catalog and to a price history that merchants don't publish.\n\nTools:\n- search_products: compare a product category or a specific model across merchants. Returns ranked products with every offer, the exact seller, the item condition and the date each price was checked. If no comparison exists yet, one is started and results arrive about a minute later.\n- get_product: all current offers for one product, plus a \"is now a good time to buy?\" verdict computed from the product's own recorded prices (a factual comparison, never a prediction).\n- get_price_history: price readings offer by offer, which tells a real price drop apart from a cheaper seller that just appeared.\n- get_deals: current price drops, each checked against a documented reference price (at least two days of readings), a fresh reading and the merchant's product page.\n\nEvery price comes with its seller, condition and check date, so Claude can say how recent it is. Prices are snapshots: only the merchant's price at checkout is binding.\n\nNo account and no API key are needed. Read tools are public; creating a new comparison is limited by a global daily quota.\n\nDisclosure: Comparr earns affiliate commissions (Amazon Associates, Awin). Offer links point to merchants through tracked links; rankings and prices are not paid placements.\n\n4 tools reported — Publisher-reported; not verified by Pod.\n\n## [Totem](/mcp/totem)\n\nConnect Totem to Claude to securely query your portfolio, deals, funds, LPs, company financials, valuations, transactions, cap tables, interactions, notes, news, and other fund data using natural language. Access is authenticated through your Totem account.\n\n22 tools reported — Publisher-reported; not verified by Pod.\n\n## For agents\n\nThis page has a [Markdown](/mcp/tool/get-deals.md) and a [JSON](/mcp/tool/get-deals.json) twin. Pod is also queryable over MCP at `https://api.askpod.ai/mcp/read`.",
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