bidclub

Search 45+ investor podcasts and read transcripts, TL;DRs, digests — bilingual EN/中文, keyless.

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설치

원클릭 설치

`claude_desktop_config.json` 파일에 다음을 추가하세요:

{
  "mcpServers": {
    "bidclub": {
      "url": "https://bidclub.ai/api/mcp"
    }
  }
}

원격 엔드포인트

https://bidclub.ai/api/mcpstreamable-http

할 수 있는 일

도구 목록

도구 (6)

🟢 읽기 전용🟡 쓰기🔴 삭제⚪ 알 수 없음
🟢bidclub_list_shows

List every show in the BidClub library with its id, display name, source language, hosts, and source links. Start here when you need a show id for the show parameter of the other tools.

입력 스키마

{
  "type": "object",
  "properties": {},
  "$schema": "https://json-schema.org/draft/2020-12/schema"
}
🟢bidclub_list_episodes(show, source_lang, limit, offset, asset, ...)

List episodes newest first, optionally narrowed to one show. Returns metadata only — titles, deks, dates, durations, participant chips and source links — never the digest or transcript. Use bidclub_get_episode for content.

입력 스키마

{
  "type": "object",
  "properties": {
    "show": {
      "type": "string",
      "pattern": "^[a-z0-9][a-z0-9_-]{0,63}$",
      "description": "Show id from bidclub_list_shows. Omit for the whole library."
    },
    "source_lang": {
      "type": "string",
      "enum": [
        "EN",
        "ZH"
      ],
      "description": "Filters by the episode's ORIGINAL language. Chinese digests exist for most English-source episodes, so do NOT set source_lang=ZH just because you want Chinese output — use the lang parameter on bidclub_get_episode instead."
    },
    "limit": {
      "default": 50,
      "type": "integer",
      "minimum": 1,
      "maximum": 100,
      "description": "Episodes per page."
    },
    "offset": {
      "default": 0,
      "type": "integer",
      "minimum": 0,
      "maximum": 9007199254740991,
      "description": "Rows to skip. Page with the returned pagination.next_offset."
    },
    "asset": {
      "type": "string",
      "pattern": "^(?:none|(?:equities|crypto|vc_pe|other)(?:,(?:equities|crypto|vc_pe|other))*)$",
      "description": "Optional asset tag ids joined by commas (equities, crypto, vc_pe, other). Matches any selected id within this facet and all supplied facets together. Omit for all episodes, including untagged; pass none for no episodes."
    },
    "sector": {
      "type": "string",
      "pattern": "^(?:none|(?:ai_software|semis|robotics|biotech|consumer|finance|blockchain|energy|space_defense)(?:,(?:ai_software|semis|robotics|biotech|consumer|finance|blockchain|energy|space_defense))*)$",
      "description": "Optional sector tag ids joined by commas (ai_software, semis, robotics, biotech, consumer, finance, blockchain, energy, space_defense). Matches any selected id within this facet and all supplied facets together. Omit for all episodes, including untagged; pass none for no episodes."
    },
    "focus": {
      "type": "string",
      "pattern": "^(?:none|(?:investing|company_building|technical|macro|policy)(?:,(?:investing|company_building|technical|macro|policy))*)$",
      "description": "Optional focus tag ids joined by commas (investing, company_building, technical, macro, policy). Matches any selected id within this facet and all supplied facets together. Omit for all episodes, including untagged; pass none for no episodes."
    }
  },
  "$schema": "https://json-schema.org/draft/2020-12/schema"
}
🟢bidclub_search_episodes(q, time, person, show, source_lang, ...)

Full-text search across titles, deks, TL;DRs, digests and transcripts, with a substring sweep that handles Chinese queries the tokenizer cannot segment. Returns up to 20 metadata rows, never content. When the response carries partial: true the query only covered the newest searched_recent episodes, so say so rather than reporting an absence.

입력 스키마

{
  "type": "object",
  "properties": {
    "q": {
      "type": "string",
      "minLength": 2,
      "maxLength": 100,
      "description": "Query text. English words are stemmed; Chinese matches as a substring."
    },
    "time": {
      "type": "string",
      "enum": [
        "24h",
        "7d",
        "30d"
      ],
      "description": "Restrict to episodes published within this window."
    },
    "person": {
      "type": "string",
      "maxLength": 120,
      "description": "Exact participant name, matched against the \"person:\" chips."
    },
    "show": {
      "type": "string",
      "pattern": "^[a-z0-9][a-z0-9_-]{0,63}$",
      "description": "Show id from bidclub_list_shows."
    },
    "source_lang": {
      "type": "string",
      "enum": [
        "EN",
        "ZH"
      ],
      "description": "Filters by the episode's ORIGINAL language. Chinese digests exist for most English-source episodes, so do NOT set source_lang=ZH just because you want Chinese output — use the lang parameter on bidclub_get_episode instead."
    },
    "len": {
      "type": "string",
      "enum": [
        "lt30",
        "30to60",
        "60to120",
        "gt120"
      ],
      "description": "Episode duration bucket."
    },
    "asset": {
      "type": "string",
      "pattern": "^(?:none|(?:equities|crypto|vc_pe|other)(?:,(?:equities|crypto|vc_pe|other))*)$",
      "description": "Optional asset tag ids joined by commas (equities, crypto, vc_pe, other). Matches any selected id within this facet and all supplied facets together. Omit for all episodes, including untagged; pass none for no episodes."
    },
    "sector": {
      "type": "string",
      "pattern": "^(?:none|(?:ai_software|semis|robotics|biotech|consumer|finance|blockchain|energy|space_defense)(?:,(?:ai_software|semis|robotics|biotech|consumer|finance|blockchain|energy|space_defense))*)$",
      "description": "Optional sector tag ids joined by commas (ai_software, semis, robotics, biotech, consumer, finance, blockchain, energy, space_defense). Matches any selected id within this facet and all supplied facets together. Omit for all episodes, including untagged; pass none for no episodes."
    },
    "focus": {
      "type": "string",
      "pattern": "^(?:none|(?:investing|company_building|technical|macro|policy)(?:,(?:investing|company_building|technical|macro|policy))*)$",
      "description": "Optional focus tag ids joined by commas (investing, company_building, technical, macro, policy). Matches any selected id within this facet and all supplied facets together. Omit for all episodes, including untagged; pass none for no episodes."
    }
  },
  "required": [
    "q"
  ],
  "$schema": "https://json-schema.org/draft/2020-12/schema"
}
🟡bidclub_get_episode(slug, section, lang, offset, max_chars)

Read one section of an episode. Long sections page deterministically: when the result says truncated: true, call again with offset set to next_offset and concatenate content_md until next_offset is null. Prefer tldr or digest — a transcript can exceed 100,000 characters and is rarely worth paging in full. lang selects the OUTPUT edition, not a catalogue filter; transcripts exist only in the episode's source language, so requesting a different lang for section=transcript always returns the source with lang_fallback: true.

입력 스키마

{
  "type": "object",
  "properties": {
    "slug": {
      "type": "string",
      "pattern": "^[a-z0-9](?:[a-z0-9-]{0,158}[a-z0-9])?$",
      "description": "Episode slug from a list or search result."
    },
    "section": {
      "default": "digest",
      "type": "string",
      "enum": [
        "meta",
        "tldr",
        "digest",
        "transcript"
      ],
      "description": "meta returns the row with no long markdown at all; tldr is the bullet summary; digest is the structured writeup; transcript is the full text."
    },
    "lang": {
      "default": "EN",
      "type": "string",
      "enum": [
        "EN",
        "ZH"
      ],
      "description": "Output edition. A translated summary is served only when both the TL;DR and the digest translations are complete; otherwise the source edition comes back with lang_fallback: true."
    },
    "offset": {
      "default": 0,
      "type": "integer",
      "minimum": 0,
      "maximum": 9007199254740991,
      "description": "Code-point offset into the section. Use the previous next_offset."
    },
    "max_chars": {
      "type": "integer",
      "minimum": 1000,
      "maximum": 50000,
      "description": "Code points per window. Defaults to 20000 for Latin text and 14000 for Chinese or Japanese text, which cost about one token per character."
    }
  },
  "required": [
    "slug"
  ],
  "$schema": "https://json-schema.org/draft/2020-12/schema"
}
🟢bidclub_feed_index(show, person, asset, sector, focus)

The slim catalogue of every episode — one row each, metadata only. Narrow it with show or person; passing both is an error. Large responses are truncated to the newest rows with a note, so filter rather than paging.

입력 스키마

{
  "type": "object",
  "properties": {
    "show": {
      "type": "string",
      "pattern": "^[a-z0-9][a-z0-9_-]{0,63}$",
      "description": "Show id. Mutually exclusive with person."
    },
    "person": {
      "type": "string",
      "maxLength": 120,
      "description": "Exact participant name. Mutually exclusive with show."
    },
    "asset": {
      "type": "string",
      "pattern": "^(?:none|(?:equities|crypto|vc_pe|other)(?:,(?:equities|crypto|vc_pe|other))*)$",
      "description": "Optional asset tag ids joined by commas (equities, crypto, vc_pe, other). Matches any selected id within this facet and all supplied facets together. Omit for all episodes, including untagged; pass none for no episodes."
    },
    "sector": {
      "type": "string",
      "pattern": "^(?:none|(?:ai_software|semis|robotics|biotech|consumer|finance|blockchain|energy|space_defense)(?:,(?:ai_software|semis|robotics|biotech|consumer|finance|blockchain|energy|space_defense))*)$",
      "description": "Optional sector tag ids joined by commas (ai_software, semis, robotics, biotech, consumer, finance, blockchain, energy, space_defense). Matches any selected id within this facet and all supplied facets together. Omit for all episodes, including untagged; pass none for no episodes."
    },
    "focus": {
      "type": "string",
      "pattern": "^(?:none|(?:investing|company_building|technical|macro|policy)(?:,(?:investing|company_building|technical|macro|policy))*)$",
      "description": "Optional focus tag ids joined by commas (investing, company_building, technical, macro, policy). Matches any selected id within this facet and all supplied facets together. Omit for all episodes, including untagged; pass none for no episodes."
    }
  },
  "$schema": "https://json-schema.org/draft/2020-12/schema"
}
🟢bidclub_download_links(slug, show, lang)

Build the download URLs for an episode or a whole show without fetching anything. Hand these to the user, or fetch one yourself when you need a complete transcript in a single request instead of paging it through bidclub_get_episode. Exactly one of slug or show is required.

입력 스키마

{
  "type": "object",
  "properties": {
    "slug": {
      "type": "string",
      "pattern": "^[a-z0-9](?:[a-z0-9-]{0,158}[a-z0-9])?$",
      "description": "Episode slug. Mutually exclusive with show."
    },
    "show": {
      "type": "string",
      "pattern": "^[a-z0-9][a-z0-9_-]{0,63}$",
      "description": "Show id, for the whole-show zip archives. Mutually exclusive with slug."
    },
    "lang": {
      "default": "orig",
      "type": "string",
      "enum": [
        "orig",
        "EN",
        "ZH"
      ],
      "description": "Edition to request in the generated URLs. orig keeps each artifact in its source language."
    }
  },
  "$schema": "https://json-schema.org/draft/2020-12/schema"
}

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