SMB Sales Intelligence MCP

SMB Sales Intelligence MCP

Domain-expert SMB sales playbooks for AI agents. Discovery questions, objection handlers, cold email + LinkedIn DM templates, BANT/MEDDIC frameworks, closing tactics. Built by an ex-Criteo (268% quota) / ex-Deel ($12B) / ex-HBO / ex-Bloomberg enterprise AE. Use when your AI SDR needs real human-tested sales artifacts.

Category
访问服务器

README

SMB Sales Intelligence MCP Server

Battle-tested B2B sales playbook frameworks for AI agents.

Built from 10+ years of B2B enterprise sales experience across ad-tech, SaaS, media, and global hiring — including a five-year stretch overshooting quota every year at a publicly-listed ad-tech company.

By Elisabeth Hitz.

Disclaimer. Structured general-best-practice sales frameworks. Not a substitute for tailored sales coaching, legal advice, or domain-specific consulting. Use as a starting layer, not a final source.


The Problem

AI agents fail at sales because they:

  • Pitch before qualifying — talking about features to people who aren't even buyers
  • Fold on objections with "I understand your concern" (a surrender, not a response)
  • Follow up with "just checking in" — a near-zero reply rate everyone recognizes
  • Treat EMEA like one market — burning trust in 5+ different cultures
  • Present one price instead of giving the 3-option menu that converts

The result: burned leads, dead sequences, and revenue left on the table.

The Solution

10 callable tools that give your AI agent decades of real enterprise sales experience — not theory from a blog post. Word-for-word scripts, country-specific playbooks, and psychology-backed objection handlers from deals worth $50K–$500K.


🔧 10 Tools

Tool What it does
get_discovery_script 5 tones × qualification frameworks. Doubles close rates by qualifying before pitching.
get_objection_response 10 most common B2B objections (price, timing, authority, ghosting…) with reframes that advance the conversation.
get_followup_sequence 4 sequences (post-proposal, post-call, cold, revival). Day 5 message reopens 30–40% of dead conversations.
get_closing_script 7 closing styles — assumptive, timeline, scarcity, retainer, choice, next-step. AI picks based on context.
get_pricing_framework The 3-option menu that prevents anchoring and increases average deal size.
get_emea_intelligence UK / Ireland / Spain / Germany / France / Netherlands / Nordics. Each market is different — the AI gets the playbook.
get_cold_email_template Pattern-interrupt, observation, mutual-connection, case-study, breakup. Under 100 words each.
get_call_script Discovery and cold-call frameworks with timing breakdowns.
get_buying_signals The 9 signals that mean "stop pitching, start closing."
get_full_playbook Complete dump for fine-tuning your agent or loading as system context.

💰 Pricing (Pay-Per-Event)

Pay only for what your AI agent actually calls. No subscriptions, no tier gating.

Event Price
Tool call $0.05
EMEA market brief $0.10
Full playbook dump $0.50

First 10 calls free — try it on Claude Desktop, Cursor, Cline, or any MCP-compatible client.


🚀 Quick Start

Use via Apify (no setup)

Click "Run" on this Apify page. Pass tool as input. Done.

Use locally with Claude Desktop, Cursor, or any MCP client

git clone https://github.com/elibierhitz/smb-sales-mcp
cd smb-sales-mcp
npm install
npm run build

Add to your Claude Desktop config (~/Library/Application Support/Claude/claude_desktop_config.json on Mac):

{
  "mcpServers": {
    "smb-sales": {
      "command": "node",
      "args": ["/path/to/smb-sales-mcp/dist/main.js"]
    }
  }
}

Restart Claude Desktop. Test it:

"Use smb-sales to handle this objection: the prospect said our price is too high"


🎯 Real Example Calls

Objection in the wild:

Prospect: "Your price is too high"
→ get_objection_response({ objection_type: "too_expensive" })
→ "Fair point — let me ask: is it the total investment that feels off, 
   or the value relative to what you're getting? Because I can usually 
   solve one of those."

Reviving a dead deal:

Prospect went silent 5 days after proposal
→ get_followup_sequence({ sequence_type: "post_proposal" })
→ Day 5 message: "Had a thought for your [product]: [specific idea]. 
   Want me to build that into Option B?"
   (Reopens 30–40% of dead conversations.)

Selling into Germany:

First touch with German prospect
→ get_emea_intelligence({ country: "germany" })
→ "Most process-oriented market in EMEA. Lead with data and detailed 
   proposals. Use formal address (Herr/Frau Last Name). Expect 6–12 week 
   cycles for SMB. GDPR compliance non-negotiable. Don't be casual."

Who This Is For

  • AI SDR platforms (11x, Artisan, Landbase, Alta) needing real training data
  • Outbound automation tools that want better conversion rates than "just checking in"
  • CRM AI assistants making intelligent recommendations on live deals
  • Sales coaching bots requiring proven script frameworks
  • Lead qualification agents that need structured discovery flows
  • Founders building sales AI who want expert data without hiring a sales consultant

Why This Is Different

Most sales content online is theory. This is from the trenches.

Five consecutive years of overshooting quota at a publicly-listed ad-tech company is the kind of repetition that produces working sales frameworks. The scripts here aren't blog-post best practice — they're structured around real B2B enterprise selling experience layered onto general best-practice methodology (BANT, MEDDIC, SPIN, Sandler).

Your AI agent gets that structured layer as API calls.

Disclaimer: This MCP returns structured general-best-practice frameworks. Not a substitute for tailored sales coaching, legal advice, or domain-specific consulting. None of the outputs reproduce any former employer's proprietary methodology.


🌍 EMEA Module — Why It Matters

Most AI SDR tools assume EMEA is one market. It isn't.

Country What works What kills deals Cycle
🇬🇧 UK Data, specificity, dry humor Superlatives, aggressive follow-up 2–4 wks SMB
🇮🇪 Ireland Warm intros, Dublin tech context Treating it like London Faster w/ referrals
🇪🇸 Spain Trust over time, Spanish for SMBs Rushing, August launches 4–8 wks SMB
🇩🇪 Germany Documentation, formal address, GDPR Casual tone, vague claims 6–12 wks SMB
🇫🇷 France French language, intellectual rigor Generic mass messaging 4–8 wks SMB
🇳🇱 Netherlands Direct, transparent, fast Overpromising, fluff Among fastest in EMEA
🇸🇪 Nordics Consensus, sustainability framing Hard sells, after-hours emails 3–6 wks SMB

Built from 5+ years of EMEA B2B enterprise sales experience.


👤 About the Author

Elisabeth Hitz — Swiss-American B2B sales executive based in Barcelona.

  • 10+ years of B2B enterprise sales experience across ad-tech, SaaS, media, and global hiring
  • Five consecutive years overshooting quota at a publicly-listed ad-tech company
  • 5+ years EMEA B2B enterprise sales (UK, Germany, Spain, France, Ireland, Netherlands)
  • Closed mid-five to mid-six-figure deals across multiple industries
  • Now building closermethod.com and sales tools for the AI agent ecosystem

LinkedIn: linkedin.com/in/elisabethhitz


📦 Integration

Works with any MCP-compatible client:

  • Claude Desktop
  • Cursor
  • Cline
  • Windsurf
  • Custom MCP implementations

🤝 For AI SDR Platforms

If you're building 11x/Artisan/Alta-style products and want extended access for fine-tuning your agent, DM me on LinkedIn. Happy to discuss white-label deals.


License

MIT. Use it, modify it, ship it.

推荐服务器

Baidu Map

Baidu Map

百度地图核心API现已全面兼容MCP协议,是国内首家兼容MCP协议的地图服务商。

官方
精选
JavaScript
Playwright MCP Server

Playwright MCP Server

一个模型上下文协议服务器,它使大型语言模型能够通过结构化的可访问性快照与网页进行交互,而无需视觉模型或屏幕截图。

官方
精选
TypeScript
Magic Component Platform (MCP)

Magic Component Platform (MCP)

一个由人工智能驱动的工具,可以从自然语言描述生成现代化的用户界面组件,并与流行的集成开发环境(IDE)集成,从而简化用户界面开发流程。

官方
精选
本地
TypeScript
Audiense Insights MCP Server

Audiense Insights MCP Server

通过模型上下文协议启用与 Audiense Insights 账户的交互,从而促进营销洞察和受众数据的提取和分析,包括人口统计信息、行为和影响者互动。

官方
精选
本地
TypeScript
VeyraX

VeyraX

一个单一的 MCP 工具,连接你所有喜爱的工具:Gmail、日历以及其他 40 多个工具。

官方
精选
本地
graphlit-mcp-server

graphlit-mcp-server

模型上下文协议 (MCP) 服务器实现了 MCP 客户端与 Graphlit 服务之间的集成。 除了网络爬取之外,还可以将任何内容(从 Slack 到 Gmail 再到播客订阅源)导入到 Graphlit 项目中,然后从 MCP 客户端检索相关内容。

官方
精选
TypeScript
Kagi MCP Server

Kagi MCP Server

一个 MCP 服务器,集成了 Kagi 搜索功能和 Claude AI,使 Claude 能够在回答需要最新信息的问题时执行实时网络搜索。

官方
精选
Python
e2b-mcp-server

e2b-mcp-server

使用 MCP 通过 e2b 运行代码。

官方
精选
Neon MCP Server

Neon MCP Server

用于与 Neon 管理 API 和数据库交互的 MCP 服务器

官方
精选
Exa MCP Server

Exa MCP Server

模型上下文协议(MCP)服务器允许像 Claude 这样的 AI 助手使用 Exa AI 搜索 API 进行网络搜索。这种设置允许 AI 模型以安全和受控的方式获取实时的网络信息。

官方
精选