No-Code Exits
No-code startups for sale, the deal-scoring method behind each pick, and exit stories.
我該用這個嗎
品質與安全性
A
發現項目(1)
- LOW在 search_exit_stories 中
根據工具定義與協定合規性的自動化分析。
上下文成本
~242Token(工具定義)
~488 B典型回應大小
極小的注意力影響(128k 上下文的 0.19%)
這是每次將伺服器的工具載入模型上下文時所消耗的約略 token 數量。數量越高,可用於其他工作的注意力就越少。
安裝
一鍵安裝
將以下內容加入你的 `claude_desktop_config.json` 檔案:
{
"mcpServers": {
"nocodeexits": {
"url": "https://nocodeexits.com/api/mcp"
}
}
}遠端端點
https://nocodeexits.com/api/mcpstreamable-http它能做什麼
工具清單
工具(3)
🟢 唯讀🟡 寫入🔴 刪除⚪ 未知
🟢get_daily_picks(date)
Startups for sale from a No-Code Exits Daily Picks issue: name, asking price, MRR, multiple, deal score and the angle. Omit the date for the latest issue.
輸入結構描述
{
"type": "object",
"properties": {
"date": {
"type": "string",
"description": "Issue date, YYYY-MM-DD"
}
}
}🟢search_no_code_tools(query, limit)
Search the No-Code Exits tool directory: what each tool is for, its pricing and its learning curve.
輸入結構描述
{
"type": "object",
"properties": {
"query": {
"type": "string",
"description": "Tool name or category"
},
"limit": {
"type": "number",
"description": "Max results, default 10"
}
},
"required": [
"query"
]
}🟢search_exit_stories(query, limit)
Founder exit stories: what was built, on which tools, what it sold for.
輸入結構描述
{
"type": "object",
"properties": {
"query": {
"type": "string",
"description": "Keyword across founder, startup and description"
},
"limit": {
"type": "number",
"description": "Max results, default 10"
}
},
"required": [
"query"
]
}建議的提示詞
research_workflow
Search for [topic], then get detailed information about the top results using No-Code Exits
預期的工具:
search_no_code_toolsget_daily_pickssearch_research
Search for information about [topic] using No-Code Exits
預期的工具:
search_no_code_toolsfind_specific
Find [specific item] using No-Code Exits
預期的工具:
search_no_code_toolsretrieve_data
Get details about [item] from No-Code Exits
預期的工具:
get_daily_picksfetch_info
Fetch [information type] using No-Code Exits
預期的工具:
get_daily_picks社群
證據
近期觀測
已驗證未記錄版本3 個工具
已驗證未記錄版本3 個工具