BPJ Startup Research
BPJ startup cases, launch signals and validation plans. Free preview; member tools use scoped keys.
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Calidad y seguridad
Basado en el análisis automatizado de las definiciones de herramientas y el cumplimiento del protocolo.
Costo de contexto
Este es el número aproximado de tokens que se consumen cada vez que las herramientas del servidor se cargan en el contexto de un modelo. Los recuentos más altos reducen la atención disponible para otras tareas.
Instalar
Instalación con un clic
Agrega esto a tu archivo `claude_desktop_config.json`:
{
"mcpServers": {
"bpj-startup-research": {
"url": "https://baipiaoji.com/api/startup-mcp"
}
}
}Puntos de conexión remotos
https://baipiaoji.com/api/startup-mcpstreamable-httpQué puede hacer
Inventario de herramientas
Herramientas (5)
🟢startup_preview(language)
Free preview of dated business evidence and launch signals. Explains membership access, limits and caveats; no key needed.
Esquema de entrada
{
"type": "object",
"properties": {
"language": {
"type": "string",
"enum": [
"zh",
"en"
]
}
},
"required": [],
"additionalProperties": false
}🟢search_startup_cases(query, outcome, scope, category, language, ...)
MEMBER: find source-backed AI startup cases, with dated revenue/adoption/failure evidence. Default excludes company references. Relevance is not success probability.
Esquema de entrada
{
"type": "object",
"properties": {
"query": {
"type": "string",
"maxLength": 500
},
"outcome": {
"type": "string",
"enum": [
"success",
"failure",
"all"
]
},
"scope": {
"type": "string",
"enum": [
"non-company",
"solo",
"small-team",
"company",
"unknown",
"all"
]
},
"category": {
"type": "string",
"maxLength": 60
},
"language": {
"type": "string",
"enum": [
"zh",
"en"
]
},
"limit": {
"type": "integer",
"minimum": 1,
"maximum": 20
}
},
"required": [],
"additionalProperties": false
}🟢compare_startup_cases(ids, language)
MEMBER: compare 2–4 reviewed cases for the same customer job. Retains metric periods, team evidence and limits; never converts revenue to profit.
Esquema de entrada
{
"type": "object",
"properties": {
"ids": {
"type": "array",
"items": {
"type": "string",
"maxLength": 80
},
"minItems": 2,
"maxItems": 4,
"uniqueItems": true
},
"language": {
"type": "string",
"enum": [
"zh",
"en"
]
}
},
"required": [
"ids"
],
"additionalProperties": false
}🟢get_startup_radar(source, focus, history, language, limit)
MEMBER: query daily Show HN discussion samples and Product Hunt launches, with dates and optional retained history. Launches and keywords are unreviewed; no revenue or solo verdict.
Esquema de entrada
{
"type": "object",
"properties": {
"source": {
"type": "string",
"enum": [
"all",
"hn",
"ph"
]
},
"focus": {
"type": "string",
"enum": [
"consumer",
"consumer-ai",
"ai",
"all"
]
},
"history": {
"type": "boolean"
},
"language": {
"type": "string",
"enum": [
"zh",
"en"
]
},
"limit": {
"type": "integer",
"minimum": 1,
"maximum": 20
}
},
"required": [],
"additionalProperties": false
}🟢build_startup_plan(question, skill, customer, stage, budget, ...)
MEMBER: build a source-linked 14-day validation plan, opposing success/failure evidence, unit economics and website-upgrade suggestions. Local retrieval and neural representation, no external LLM. Do not send customer secrets.
Esquema de entrada
{
"type": "object",
"properties": {
"question": {
"type": "string",
"maxLength": 500
},
"skill": {
"type": "string",
"maxLength": 240
},
"customer": {
"type": "string",
"maxLength": 240
},
"stage": {
"type": "string",
"maxLength": 120
},
"budget": {
"type": "number",
"minimum": 0,
"maximum": 1000000000
},
"hours": {
"type": "number",
"minimum": 0,
"maximum": 168
},
"price": {
"type": "number",
"minimum": 0,
"maximum": 1000000000
},
"variableCost": {
"type": "number",
"minimum": 0,
"maximum": 1000000000
},
"fixedCost": {
"type": "number",
"minimum": 0,
"maximum": 1000000000000
},
"language": {
"type": "string",
"enum": [
"zh",
"en"
]
}
},
"required": [
"question"
],
"additionalProperties": false
}Comunidad
Evidencia