QuillHub

ai.quillhub由 quillhub.ai 发布官方发布者v1.0.1更新于 Oct 27, 2026

Meeting transcripts for AI agents: search calls, read who said what, transcribe files and links.

已验证Streamable HTTP可网页运行效率与工作流知识与记忆沟通与协作

概览

AI 生成的概览

托管式 MCP 服务器,让 AI 助手检索 QuillHub 会议转录、发言人原话、决议与行动项。

可以做什么
  • 跨工作区与项目搜索、列出录音,含摘要、决议、行动项与参会人
  • 按摘要、全文、发言片段、对话、段落、章节或字幕读取单条录音
  • 按日期与项目筛选,提取某人在各场会议中的带时间戳原话
  • 浏览被追踪的对象(人物、交易、项目、客户),查看动态笔记、未结承诺与修订时间线
  • 列出跨会议发现的矛盾与待决问题,读取 AI 维护的项目简报
  • 转录链接或内联文件,并等待或取消转录任务
适用场景
当会议录音存放在 QuillHub,且希望助手在对话中回答过往通话的问题、引用某人原话、会前准备简报,或转录新的文件与链接时适用。
运行要求
远程托管端点,使用 Streamable HTTP,无需安装或自托管。必须认证:交互式客户端用 OAuth 2.1 加 PKCE,无头客户端用 Authorization Bearer 头传 API 密钥(通常经 mcp-remote 桥接)。需要 QuillHub 账号。
安装前请注意
助手可读取整个会议档案,包括同事共享的录音,应谨慎控制授权范围。转录会消耗 QuillHub 余额(注册赠 60 分钟,之后按套餐计费)。创建转录会把链接或上传文件发送给 QuillHub。不要把 API 密钥提交到配置文件,并在后台定期轮换。

安装

在 SourceWeft 中

  1. 打开 控制台中的 QuillHub,将其添加到工作区。
  2. 连接 所需的 凭据。它们会被私密存储,绝不会在公开页面上展示。
  3. 为需要使用其工具的对话启用该服务。

Web executable,通过 Streamable HTTP。 远程服务在工作区中配置后即可从网页运行时运行。

交给智能体安装

把这段提示词粘贴到 Claude Code、Codex、Cursor 等智能体,或 SourceWeft 对话中。智能体会读取该服务器的安装指南,先向你展示发布者、端点和登录方式,经你同意后再把它添加到你的客户端。密钥不会写进任何命令。

阅读 https://sourceweft.com/mcp/ai.quillhub%2Fmcp/install.md,并按其中说明把这个 MCP 服务器接入我的客户端。修改任何配置之前,先告诉我它的发布者、端点和登录方式,等我确认。不要把 API 密钥写进命令或我会提交的文件;问我密钥应从哪里获取。

查看智能体所依据的安装指南

其他 MCP 客户端

把它添加到你客户端的 mcpServers 配置中。 客户端会在首次连接时完成 OAuth 登录。

{
  "mcpServers": {
    "quillhub": {
      "type": "http",
      "url": "https://mcp.quillhub.ai/mcp"
    }
  }
}

README

[QuillHub logo]

QuillHub MCP Server

Your meeting transcripts, readable by Claude, Cursor and any other MCP client.
Search past calls, read who said what, pull decisions and action items, transcribe new files and links.

Setup guide · Docs · quillhub.ai · Desktop app


Endpoint: https://mcp.quillhub.ai/mcp (Streamable HTTP, hosted) Auth: OAuth 2.1 with PKCE (interactive clients) or API key qai_live_... (scripts, CI) Source: this repository documents the hosted server; the server itself is operated by QuillHub. There is nothing to install or self-host.

What it is

QuillHub records meetings from your desktop without a bot in the call (Zoom, Meet, Teams, phone, in person) and transcribes uploaded files and YouTube links in 98+ languages. Every recording comes back split by speaker with timestamps, chapters, a summary, decisions and action items.

The MCP server gives your AI assistant direct access to that archive. Ask Claude "what did we agree with the client last Tuesday", "what has Anna said about pricing this month", or "transcribe this file and draft the follow-up", and it calls the right tools itself.

Quick start

Step-by-step guide with screenshots: QuillHub + Claude/Cursor via MCP.

Claude Desktop, Cursor, VS Code and other OAuth-capable clients

Point the client at the URL with no Authorization header. The client opens a browser, you sign in to QuillHub, done.

json
{  "mcpServers": {    "quillhub": {      "url": "https://mcp.quillhub.ai/mcp"    }  }}

Claude.ai / Claude Desktop: Settings → Connectors → Add custom connector, paste https://mcp.quillhub.ai/mcp.

Claude Code:

bash
claude mcp add --transport http quillhub https://mcp.quillhub.ai/mcp

API key (headless, CI, clients without OAuth)

Get a key in the Developers dashboard (issued automatically at sign-up), then use the mcp-remote bridge:

json
{  "mcpServers": {    "quillhub": {      "command": "npx",      "args": [        "-y",        "mcp-remote",        "https://mcp.quillhub.ai/mcp",        "--header",        "Authorization:Bearer qai_live_YOUR_KEY"      ]    }  }}

Write Authorization:Bearer ... with no space after the colon: some mcp-remote versions split arguments on spaces.

Tools

ToolWhat it does
search_meeting_transcriptsFull-text search across meetings in a workspace: titles, summaries, decisions, action items and transcript text. Morphological matching in English and Russian.
list_transcriptionsPaginated list of recordings with summary, key theses, decisions, action items, participants, project. Filter by text, date range, workspace, project.
get_transcriptionOne recording in the format you need: summary, text, segments, dialog (who said what), paragraphs, chapters, subtitles. Supports time windows for long calls.
get_person_speechTimestamped quotes from one person across every meeting, with filters by date and project.
find_subjectsFind tracked subjects (people, deals, projects, clients, candidates, custom types) with their AI-maintained note, open commitments and mention counts.
get_subject_pageFull page for one subject: living note, open commitments, every meeting mention with quotes and speakers, unresolved questions.
get_state_timelineHow a subject's note changed over time: revisions with diffs and the recording that caused each change.
list_open_questionsContradictions and ambiguities the AI found across meetings (e.g. two different budget figures) that need a human decision.
get_project_memoryAI-maintained briefing for a project or workspace: purpose, glossary, key people, activity digest.
list_subject_typesSubject types available in a project and the fields each one tracks.
list_workspacesYour workspaces and the projects inside them, so the agent can read teammates' shared recordings.
create_transcriptionTranscribe a URL (YouTube, direct file link) or an inline base64 file up to 25 MB.
wait_for_transcriptionWait for a job to finish (up to 300 s per call), no polling loop needed.
cancel_transcriptionCancel a queued or running job.
get_accountAccount, balance and subscription. Cheap liveness check.
get_developer_docsQuillHub developer docs as markdown, for agents writing integration code.

Example prompts

  • "Find every call where we discussed the migration deadline and list the decisions."
  • "What did Maria commit to in last week's meetings? Quote her."
  • "Transcribe https://youtu.be/... and give me the chapters with timestamps."
  • "Brief me on the Acme project before tomorrow's call."
  • "When did we first hear about the budget cut, and what changed after the last meeting?"

Limits and pricing

  • Connecting MCP is free. Transcription uses your normal QuillHub balance: 60 free minutes on sign-up, no card. Plans at quillhub.ai/en/pricing.
  • Inline base64 uploads are capped at 25 MB; for larger files pass a URL. Files up to 10 hours / 5 GB via the app.
  • No webhooks over MCP. Use the REST API webhooks for push delivery.

Security and privacy

  • The server is stateless and forwards your token to the QuillHub REST API; it stores no recordings and no secrets.
  • Recordings are encrypted at rest and in transit, never used to train models, and can be deleted at any time.
  • Don't commit real API keys into config files. Rotate keys in the Developers dashboard.

Kiro power

This repository is also a Kiro power: plugin.json, mcp.json and POWER.md sit at the root.

Also available

Support

Open an issue in this repository or write to [email protected].

Privacy policy: quillhub.ai/en/legal/privacy

QuillHub is built by Axevia Labs LLC.

License

The MIT license covers the files in this repository (documentation and config examples). The hosted server at mcp.quillhub.ai is a proprietary service.

来源:README.md,提交 204dc46

工具

0
该服务器需要登录,因此 SourceWeft 无法在没有账号的情况下读取其工具,也未收录。已连接账号所能看到的内容可能因账号及其权限而异。

版本历史

1
  1. v1.0.1最新Sep 23, 2026

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