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Launch Fast

Launch Fast

Remote
github.com/BlockchainHBData & Analytics1Updated 17w ago
Repository

About Launch Fast

Launch Fast is a hosted MCP server for Amazon FBA sellers and researchers, with tools for product, keyword, supplier, seller, Brand Analytics, and ad research. It also supports rank tracking and intellectual-property risk checks.

Key features

  1. 01Amazon 产品与利基研究
  2. 02关键词机会与竞品差距分析
  3. 03供应商比较与采购研究
  4. 04商标和专利风险检查
  5. 05排名追踪与 ASIN 管理
  6. 06销售、库存、财务及广告分析

Use cases

  1. 01评估 Amazon FBA 产品机会
  2. 02比较 ASIN 关键词与竞品差距
  3. 03检查商标或专利发布风险
  4. 04诊断广告表现与库存问题

MCP support

提供托管远程 MCP 服务,供 AI 客户端调用 18 项 Amazon 研究与分析工具。需要 Launch Fast 账户及 MCP 访问权限,也可通过本地桥接包连接。

Configuration

Remote servers need no local install. Pick your client, then copy the config or install in one click.

Endpointhttps://launchfastlegacyx.com/api/mcp/server
Copy install command
Claude CodeTerminal
Cursor.cursor/mcp.json
VS Code.vscode/mcp.json
Claude Desktopclaude_desktop_config.json
Windsurf~/.codeium/windsurf/mcp_config.json

Run commands in a terminal; paste JSON into the client’s MCP config and restart. Servers that need sign-in will prompt on first connect.

All endpoints
Streamable HTTPhttps://launchfastlegacyx.com/api/mcp/serverAuth required

Tools

Details

From the project README

Launch Fast MCP

Launch Fast MCP connects AI assistants to Amazon FBA research and seller analytics through the Model Context Protocol.

Use it to research product opportunities, inspect keyword demand, find supplier options, check trademark and patent risk, review rank tracking, analyze Amazon seller reporting, inspect Brand Analytics, and diagnose Amazon Ads performance.

What It Does

  • Product research for Amazon FBA niches and product ideas
  • Amazon keyword research for ASINs, opportunities, and competitor gaps
  • Supplier research for sourcing and Alibaba-style supplier comparison
  • IP checks for trademark and patent launch risk
  • Rank tracking lookup and ASIN tracking management
  • Amazon seller sales, inventory, and finance reporting
  • Amazon Brand Analytics query, search term, and catalog performance
  • Amazon Ads campaign, product, targeting, search term, entity graph, and diagnostics analysis

Hosted Endpoint

Launch Fast runs as a hosted remote MCP server:

https://launchfastlegacyx.com/api/mcp/server

Authentication requires a Launch Fast account with MCP access.

Manual MCP clients can use a Launch Fast API key:

LAUNCHFAST_API_KEY=lf_your_api_key_here

Clients with native remote MCP support should connect directly to the hosted endpoint. Clients that only support local stdio servers can use this package as a local bridge.

Install

Claude Desktop

Add this to claude_desktop_config.json:

{
  "mcpServers": {
    "launchfast": {
      "command": "npx",
      "args": ["-y", "@launchfast/mcp"],
      "env": {
        "LAUNCHFAST_API_KEY": "lf_your_api_key_here"
      }
    }
  }
}
Cursor

Add this to .cursor/mcp.json:

{
  "mcpServers": {
    "launchfast": {
      "command": "npx",
      "args": ["-y", "@launchfast/mcp"],
      "env": {
        "LAUNCHFAST_API_KEY": "lf_your_api_key_here"
      }
    }
  }
}
VS Code

Add this to .vscode/mcp.json:

{
  "servers": {
    "launchfast": {
      "command": "npx",
      "args": ["-y", "@launchfast/mcp"],
      "env": {
        "LAUNCHFAST_API_KEY": "lf_your_api_key_here"
      }
    }
  }
}
Claude Code or Other HTTP MCP Clients

If your client supports remote HTTP MCP servers, prefer the hosted endpoint:

{
  "mcpServers": {
    "launchfast": {
      "type": "http",
      "url": "https://launchfastlegacyx.com/api/mcp/server",
      "headers": {
        "X-LaunchFast-API-Key": "lf_your_api_key_here"
      }
    }
  }
}

Tools

Launch Fast exposes 18 MCP tools:

ToolCapabilitySafety
research_productsAmazon product and niche researchRead-only
amazon_keyword_researchASIN keyword research, opportunities, and gap analysisRead-only
supplier_researchSupplier discovery and sourcing comparisonRead-only
rank_tracker_lookupRead tracked ASINs and keyword rankingsRead-only
rank_tracker_manageTrack or untrack ASINs in Rank TrackerWrite-capable
ip_check_lookupTrademark and patent risk checksRead-only
amazon_sales_lookupAmazon seller sales performanceRead-only
amazon_inventory_lookupAmazon inventory and SKU healthRead-only
amazon_finance_lookupAmazon finance events, fees, refunds, and settlementsRead-only
amazon_brand_query_performance_lookupBrand Analytics query performanceRead-only
amazon_brand_search_terms_lookupBrand Analytics search terms intelligenceRead-only
amazon_brand_search_catalog_performance_lookupBrand Analytics catalog performanceRead-only
amazon_ads_product_performance_lookupAmazon Ads advertised product performanceRead-only
amazon_ads_targeting_performance_lookupAmazon Ads targeting and keyword performanceRead-only
amazon_ads_search_term_performance_lookupAmazon Ads search term performanceRead-only
amazon_ads_campaign_performance_lookupAmazon Ads campaign performanceRead-only
amazon_ads_entity_graph_lookupAmazon Ads campaign/ad group/ad/keyword/target graphRead-only
amazon_ads_performance_diagnosticsAmazon Ads performance diagnosticsRead-only

Full tool notes: docs/tools.md

Example Prompts

Research the Amazon market for silicone cooking utensils and find the strongest opportunities.
Analyze keyword opportunities for ASIN B08N5WRWNW.
Look at my Amazon Ads search terms from the last 30 days and identify wasted spend.
Check whether "AquaGrip bottle handle" has trademark or patent risk before launch.
Show my Amazon inventory risks and slow-moving SKUs.

Development

npm install
npm run build
LAUNCHFAST_API_KEY=lf_your_api_key_here npm run dev

The public package is intentionally a bridge and tool catalog. The hosted Launch Fast application owns authentication, account authorization, provider integrations, billing access checks, rate limits, and private data processing.

Links

License

MIT

Comments

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New to MCP?

From what the protocol is to installing your first server, these answers cover most first questions.

An open protocol that defines how AI applications connect to external tools and data in a uniform way. Clients talk to the model; MCP servers provide tools, resources and prompt templates. They exchange standard messages, so one server can be reused by many clients.