The full upstream README, mirrored here for reference. Install config, tool schemas, adoption signals, and an original overview live on the Laxis listing page.
The Laxis MCP Server connects Laxis — the AI meeting note taker and voice dictation tool for professionals — to Claude and other AI tools through the Model Context Protocol. Your assistant can search and read your meeting transcripts, summaries, and participants directly in chat — turning every conversation you've recorded into context your AI can reason over.
Remote, hosted server — nothing to install or run. Laxis hosts the server for you. You add one URL to your AI client and sign in with your Laxis account — no local binary, Docker image, or
npmpackage, and no API key to copy or paste.
Laxis is the next-generation AI meeting note taker and voice dictation tool built for professionals. It records, transcribes, and summarizes any conversation directly from your computer — no "bot" ever joins the call — and works seamlessly with Zoom, Google Meet, Microsoft Teams, Webex, Slack Huddles, and more.
Sales teams use Laxis to update their CRM instantly and never miss a customer requirement; product managers turn user interviews into actionable PRDs; consultants deliver standardized client reports; recruiters capture every detail of candidate interviews. This MCP server brings all of that recorded knowledge to your AI assistant.
All tools are read-only. The server returns raw snippets from your meetings; your AI client generates the answer. It never writes to your account, makes LLM calls of its own, or touches data that isn't yours.
| Tool | Purpose |
|---|---|
list_meetings | Browse your recent meetings — title, date, duration, status, and a short summary (metadata only). |
search_meetings | Semantic search across your transcripts; returns the most relevant transcript snippets. |
get_meeting | Full details for one meeting — participants, AI summary points, and metadata. |
get_transcript | The full, paged transcript text, formatted as [m:ss] Speaker: text. |
You only need a Laxis account. Add the endpoint to your AI client and it will open your browser to sign in with Laxis (OAuth 2.1
The connection endpoint is always:
We no longer recommend personal API keys. Signing in with OAuth is more secure (no long-lived secret to copy, store, or leak) and just as quick. API keys remain available only for tools that can't sign in interactively — see Connecting without a browser.
Pick your client. In every case you connect with the URL above and sign in with Laxis when prompted — there's no key to paste.
In Claude Desktop or on claude.ai go to Settings → Connectors → Add custom connector, paste the URL below, and complete the "sign in with Laxis" flow.
Then run /mcp in Claude Code and choose Authenticate to sign in with
Laxis. Ask something like "Use Laxis to summarize my last meeting."
The one-click button adds the server; open Cursor → Settings → MCP and click
Sign in (or Needs login) next to Laxis to authorize. Or configure it
manually in ~/.cursor/mcp.json:
Requires VS Code 1.101+. After installing, VS Code prompts you to sign in with
Laxis on first use. To configure manually, add a .vscode/mcp.json:
Add to ~/.codeium/windsurf/mcp_config.json, then authorize when prompted:
Any client that speaks Streamable HTTP to a remote MCP server and supports the MCP OAuth flow works. Point it at:
https://app.laxis.tech/mcpNot recommended. Use this only for tools that can't complete an interactive OAuth sign-in — headless scripts, CI, or automations such as Zapier. A personal API key is a long-lived secret: anyone who has it can read your meetings until you revoke it.
In Laxis, go to Settings → Claude (MCP) → Advanced and generate a
personal API key (laxis_…).
Send it as a bearer token on every request:
For a desktop client that lacks native OAuth, you can bridge with
mcp-remote and the header:
Treat the key like a password. Regenerating it immediately invalidates the previous one (and any automations that share it), so update those afterward.
The server is a thin, retrieval-only proxy in front of the Laxis API. It validates your OAuth access token, exchanges it for a short-lived, user-scoped upstream token (it never forwards your client's token to the API), fetches the requested meeting data, and returns raw snippets. Your AI client does all the reasoning and answer-writing. You only ever see your own meetings, and access stops the moment you revoke the connection (or, in API-key mode, the key).
MIT © Laxis