BPJ Startup Research
BPJ startup cases, launch signals and validation plans. Free preview; member tools use scoped keys.
Sollte ich dies verwenden
Qualität und Sicherheit
Basierend auf einer automatisierten Analyse der Tool-Definitionen und der Einhaltung des Protokolls.
Kontextkosten
Dies ist die ungefähre Anzahl der Tokens, die jedes Mal verbraucht werden, wenn die Tools des Servers in den Kontext eines Modells geladen werden. Höhere Werte verringern die Aufmerksamkeit, die für andere Aufgaben verfügbar ist.
Installieren
Installation mit einem Klick
Fügen Sie dies Ihrer Datei `claude_desktop_config.json` hinzu:
{
"mcpServers": {
"bpj-startup-research": {
"url": "https://baipiaoji.com/api/startup-mcp"
}
}
}Remote-Endpunkte
https://baipiaoji.com/api/startup-mcpstreamable-httpWas es kann
Tool-Inventar
Tools (5)
🟢startup_preview(language)
Free preview of dated business evidence and launch signals. Explains membership access, limits and caveats; no key needed.
Eingabe-Schema
{
"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.
Eingabe-Schema
{
"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.
Eingabe-Schema
{
"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.
Eingabe-Schema
{
"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.
Eingabe-Schema
{
"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
}Community
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