FounderBrain
See how a founder came across in a pitch or investor call, compared with 773 founder interviews.
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": {
"founderbrain": {
"url": "https://mcp.thinkreasonlearn.com/mcp"
}
}
}Remote-Endpunkte
https://mcp.thinkreasonlearn.com/mcpstreamable-httpWas es kann
Tool-Inventar
Tools (2)
🟢analyse_transcript(transcript, speaker, name, role)
Compare one speaker in a meeting transcript with public founder and operator interviews and return the report as data: speaking type, style positions, similar well-known people, standout habits and takeaways. transcript: the whole text, one speaker turn per line ("Name: words"). speaker: one speaker label as it appears in the text. name: the person's name when the label is generic (Me, Them, Speaker 2), or "You" when the speaker is the user; required for a generic label other than Me. role: "answering" when they were pitching or answering questions, "asking" when they mostly asked them. Needs at least 300 words from the speaker and at most 15,000 words in all; usually takes under a minute, up to about two minutes when the service is starting up. Clients that support MCP Apps also show the visual report.
Eingabe-Schema
{
"type": "object",
"properties": {
"transcript": {
"default": "",
"title": "Transcript",
"type": "string"
},
"speaker": {
"default": "",
"title": "Speaker",
"type": "string"
},
"name": {
"anyOf": [
{
"type": "string"
},
{
"type": "null"
}
],
"default": null,
"title": "Name"
},
"role": {
"default": "answering",
"title": "Role",
"type": "string"
}
},
"title": "analyse_transcriptArguments"
}🟢check_transcript(transcript)
List the speakers in a meeting transcript and how many words each said, without scoring anything. transcript: the whole text, one speaker turn per line ("Name: words").
Eingabe-Schema
{
"type": "object",
"properties": {
"transcript": {
"default": "",
"title": "Transcript",
"type": "string"
}
},
"title": "check_transcriptArguments"
}Ausgabe-Schema
{
"type": "object",
"additionalProperties": true,
"title": "check_transcriptDictOutput"
}Community
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