# Airscale vs MCP Search (MCP Stack)

Airscale records 17,308 monthly visits with -20% month-over-month growth and Contact for Pricing pricing. MCP Search (MCP Stack) records 0 monthly visits with 0% growth and Paid pricing.

| Metric | [Airscale](https://openaitools.app/tool/airscale) | [MCP Search (MCP Stack)](https://openaitools.app/tool/mcp-stack) |
| :--- | :--- | :--- |
| Website URL | https://airscale.io | https://mcp-stack.com |
| Categories | AI Lead Generation, AI Sales, AI Data Mining, AI API | AI Marketing, AI Agent, AI Sales Assistant, AI Lead Generation |
| Pricing Model | Contact for Pricing | Paid |
| Monthly Visits | 17,308 | 0 |
| MoM Growth Rate | -20% | 0% |
| Primary Market | France | Global |
| Direct Visits | 10,601 | 0 |
| Review Score | 4.3 | 4 |
| Saved Count | 1 | 0 |
| Supported Platforms | Website | Website |

## Airscale

Airscale is a sales data platform aimed at go-to-market teams who need cleaner, more complete prospect data. You can build lists of leads and companies using built-in scrapers and premium integrations, filter them by intent signals, and capture your total addressable market. Sources include Sales Navigator search results, post engagement, hiring signals, local business data, CSV imports, and webhooks.

Its core strength is waterfall enrichment. Rather than paying one vendor, Airscale routes each lookup across a pool of email and phone providers and only charges when a valid result is returned, with automatic verification built in. The company positions pricing as low as a few cents per email and roughly fifteen cents per phone number, depending on the provider that succeeds.

Beyond contact data, Airscale stacks firmographic, technographic, and custom data points, plus an AI research agent called Airsearch that visits domains to gather information. Results can be pushed to CRMs and sequencers like HubSpot, Smartlead, Lemlist, and Instantly, or accessed through an MCP integration that lets agents such as Claude Code and Codex run prospecting workflows directly. Paid plans start at $49 per month with a free trial.

**Pricing & Plans:** Paid plans start at $49 per month, with a 14-day free trial. All plans include unlimited seats and credits that roll over, and enrichment is usage-based with per-email and per-phone pricing that varies by provider.

- **Waterfall contact enrichment:** Route each email or phone lookup across 50+ providers in one workflow and pay only when a valid, verified result is returned.
- **Real-time list building:** Build lead and account lists using built-in scrapers, premium integrations, intent signals, and advanced filtering.
- **AI research agent (Airsearch):** Send an agent to visit a list of domains, extract the information you need, and report back automatically.
- **CRM and sequencer sync:** Push enriched records to HubSpot, Smartlead, Lemlist, and Instantly in one click, or enrich via API.
- **MCP and AI agent access:** Run prospecting and enrichment workflows from Claude Code or Codex through Airscale's MCP integration.

**Strengths:** Access to 450+ data points through 50+ providers in one subscription; Pay-per-valid-result model avoids wasting credits on failed lookups; Unlimited seats and rolling-over credits on all plans; Deep CRM, sequencer, API, and MCP integrations

**Limitations:** Pricing is credit-based, so heavy enrichment can add up; Setup of complex workflows and integrations has a learning curve; Coverage quality depends on the underlying third-party providers

[Profile (Markdown)](https://openaitools.app/tool/airscale.md)

## MCP Search (MCP Stack)

MCP Search, live on the mcp-stack.com domain, targets a specific and often underserved job: producing very fine-grained B2B prospect lists for the French market rather than running a global people search. Instead of stacking dozens of filters, you describe your target in a sentence — for example, sales directors who graduated from an engineering school, have worked in manufacturing for at least three years, and are employed at companies that are still active. The engine cross-references legal registry records (INSEE, Infogreffe, BODACC), verified Google Maps listings, public LinkedIn company profiles, open web contact data and financial filings to return a structured list.

The dataset is positioned as a pre-crossed French prospecting base: roughly 27 million legal entities, about 29 million profiles and professional experiences, and around 1.4 million establishment-level records usable in the same query. Job-posting signals from boards such as LinkedIn, Welcome to the Jungle, Pôle emploi and Indeed are announced as coming next.

The product is currently in a waitlist phase with a September launch; the company states that the MCP connector for Claude, Grok or home-built agents is not yet publicly callable and will expose the same France-first list engine when it opens. It positions itself against Apollo (global outbound) and Clay (multi-provider enrichment) rather than against infrastructure tooling. MCP Search is an independent product and is not produced or endorsed by Anthropic, xAI or any model provider.

**Pricing & Plans:** Pricing is not published on the current site. The product is in a waitlist phase ahead of a September launch, and no public plan, trial or per-seat figure is listed yet — check the site for updates when the product opens.

- **One-sentence list building:** Describe your target in plain French and get a cross-referenced list, instead of stacking 8+ filters across NAF codes, revenue thresholds and tenure.
- **Multi-source French data:** Crosses legal registry records (SIREN/SIRET, officers, financials), Google Maps establishments, public LinkedIn company data and open web contacts.
- **Large FR-first coverage:** Around 27M legal entities, roughly 29M profiles and experiences, and about 1.4M establishment records accessible within the same query intention.
- **MCP connector for AI agents:** An MCP endpoint designed so Claude, Grok or a custom agent can run the same fine-grained French account queries, planned for public release at launch.
- **Direct competitor framing:** Explicitly positioned against Apollo-style global people search and Clay-style enrichment workflows, focusing on crossed French list building as the core job.

**Strengths:** Focuses on a genuinely hard problem: fine-grained, cross-referenced French B2B lists rather than generic global people search; Aggregates several authoritative French sources (legal registry, Maps, LinkedIn, financials) into a single intention-based query; Plans an MCP connector so the same list engine is callable by AI agents; Transparent comparison pages against Apollo, Clay and French data providers

**Limitations:** Currently in a waitlist phase, so the core product and MCP tools are not yet publicly usable; No public pricing published, which makes budgeting hard to plan; Coverage is France-specific, so it is not suitable for multi-country outbound

[Profile (Markdown)](https://openaitools.app/tool/mcp-stack.md)

## Frequently Asked Questions

### How do Airscale and MCP Search (MCP Stack) compare in monthly traffic?

Airscale has 17,308 monthly visits, while MCP Search (MCP Stack) has 0. Traffic estimates describe audience size, not product quality.

### How do their growth rates compare?

Airscale has a month-over-month growth rate of -20%; MCP Search (MCP Stack) has 0%.

### How does pricing compare?

Airscale: Contact for Pricing. Paid plans start at $49 per month, with a 14-day free trial. All plans include unlimited seats and credits that roll over, and enrichment is usage-based with per-email and per-phone pricing that varies by provider. MCP Search (MCP Stack): Paid. Pricing is not published on the current site. The product is in a waitlist phase ahead of a September launch, and no public plan, trial or per-seat figure is listed yet — check the site for updates when the product opens.

## Alternatives

| # | Tool Name | Monthly Visits | MoM Growth Rate | Pricing Model | Summary | Profile (Markdown) |
| :--- | :--- | :--- | :--- | :--- | :--- | :--- |
| 1 | [Instantly](https://openaitools.app/tool/instantly) | 2,336,279 | +6% | Paid, Contact for Pricing | Sales engagement platform with AI agents for lead finding, outreach and deliverability | [.md](https://openaitools.app/tool/instantly.md) |
| 2 | [Clay](https://openaitools.app/tool/clay-2-0) | 1,267,465 | -2.7% | Freemium, Free Trial, Contact for Pricing | Build GTM systems that turn data into revenue | [.md](https://openaitools.app/tool/clay-2-0.md) |
| 3 | [Success.ai](https://openaitools.app/tool/success-ai) | 547,073 | +6.3% | Freemium, Free Trial | AI sales platform for unlimited B2B leads and outreach | [.md](https://openaitools.app/tool/success-ai.md) |
| 4 | [Monaco](https://openaitools.app/tool/monaco) | 195,703 | +10.6% | Paid | The AI revenue engine that replaces your CRM | [.md](https://openaitools.app/tool/monaco.md) |
| 5 | [AI Ark](https://openaitools.app/tool/ai-ark) | 90,788 | -30.7% | Freemium, Contact for Pricing | AI-powered B2B data platform for finding verified contacts, companies, and lookalike audiences | [.md](https://openaitools.app/tool/ai-ark.md) |
| 6 | [Landbase](https://openaitools.app/tool/landbase) | 76,178 | +32.5% | Paid (usage-based credits) | The world's GTM data, wired directly into your AI | [.md](https://openaitools.app/tool/landbase.md) |
| 7 | [Enginy](https://openaitools.app/tool/enginy) | 68,199 | +3.8% | Contact for Pricing | Your all-in-one AI sales edge for smarter B2B outreach | [.md](https://openaitools.app/tool/enginy.md) |
| 8 | [Clodura.AI](https://openaitools.app/tool/clodura-ai) | 48,655 | -12.6% | Free Trial, Contact for Pricing | GenAI go-to-market platform from database to deal closure | [.md](https://openaitools.app/tool/clodura-ai.md) |
| 9 | [Databar.ai](https://openaitools.app/tool/databar-ai-2-0) | 34,140 | -27.4% | Freemium, Paid | 160+ data providers behind one table, API and MCP server | [.md](https://openaitools.app/tool/databar-ai-2-0.md) |
| 10 | [Regie](https://openaitools.app/tool/regie) | 22,728 | -9% | Contact for Pricing | From your website to a ready-to-work prospect list in about ten minutes | [.md](https://openaitools.app/tool/regie.md) |

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Source: https://openaitools.app/compare/airscale-vs-mcp-stack

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