Meeting transcripts for AI agents: search calls, read who said what, transcribe files and links.
Copy the AI prompt to install this server into Claude Code, Cursor, or another agent β or use 1-click editor setup below.
π‘ Paste the JSON block into your client's configuration file under mcpServers, then restart the application.
Inspect callable tools, capabilities, and parameters exposed to AI agents by QuillHub.
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.
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 Β· Docs Β· quillhub.ai Β· 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.
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.
Step-by-step guide with screenshots: QuillHub + Claude/Cursor via MCP.
Point the client at the URL with no Authorization header. The client opens a browser, you sign in to QuillHub, done.
Claude.ai / Claude Desktop: Settings β Connectors β Add custom connector, paste https://mcp.quillhub.ai/mcp.
Claude Code:
Get a key in the Developers dashboard (issued automatically at sign-up), then use the mcp-remote bridge:
Write Authorization:Bearer ... with no space after the colon: some mcp-remote versions split arguments on spaces.
| Tool | What it does |
|---|---|
search_meeting_transcripts | Full-text search across meetings in a workspace: titles, summaries, decisions, action items and transcript text. Morphological matching in English and Russian. |
list_transcriptions | Paginated list of recordings with summary, key theses, decisions, action items, participants, project. Filter by text, date range, workspace, project. |
get_transcription | One recording in the format you need: summary, text, segments, dialog (who said what), paragraphs, chapters, subtitles. Supports time windows for long calls. |
get_person_speech | Timestamped quotes from one person across every meeting, with filters by date and project. |
find_subjects | Find tracked subjects (people, deals, projects, clients, candidates, custom types) with their AI-maintained note, open commitments and mention counts. |
get_subject_page | Full page for one subject: living note, open commitments, every meeting mention with quotes and speakers, unresolved questions. |
get_state_timeline | How a subject's note changed over time: revisions with diffs and the recording that caused each change. |
list_open_questions | Contradictions and ambiguities the AI found across meetings (e.g. two different budget figures) that need a human decision. |
get_project_memory | AI-maintained briefing for a project or workspace: purpose, glossary, key people, activity digest. |
list_subject_types | Subject types available in a project and the fields each one tracks. |
list_workspaces | Your workspaces and the projects inside them, so the agent can read teammates' shared recordings. |
create_transcription | Transcribe a URL (YouTube, direct file link) or an inline base64 file up to 25 MB. |
wait_for_transcription | Wait for a job to finish (up to 300 s per call), no polling loop needed. |
cancel_transcription | Cancel a queued or running job. |
get_account | Account, balance and subscription. Cheap liveness check. |
get_developer_docs | QuillHub developer docs as markdown, for agents writing integration code. |
This repository is also a Kiro power: plugin.json, mcp.json and POWER.md sit at the root.
Open an issue in this repository or write to tim.nocode@gmail.com.
Privacy policy: quillhub.ai/en/legal/privacy
QuillHub is built by Axevia Labs LLC.
The MIT license covers the files in this repository (documentation and config examples). The hosted server at mcp.quillhub.ai is a proprietary service.
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