INDIVIDUAL MCP TOOL

upload_interview

Opens the in-Claude MCP Apps widget "Upload To Zernote" so the user can drop a file into Inbox in this chat (audio/video max 2GB; text .

zernote.comnone authenticationAvailability not checked

LIVE ENDPOINT

https://zernote.com/mcp

No auth detected

Connect to this endpoint to inspect the live schema for upload_interview and invoke it with your own arguments.

{}

Potential side effects detected · medium confidence · heuristic, not a guarantee.

CONNECT WITH APPROVAL

Review this server and its permissions before adding it. Secret placeholders must be set locally.

Codex

~/.codex/config.toml

[mcp_servers.zernote-mcp]
url = "https://zernote.com/mcp"
enabled = true

Claude Code

.mcp.json

{
  "mcpServers": {
    "zernote-mcp": {
      "type": "http",
      "url": "https://zernote.com/mcp"
    }
  }
}

Claude Desktop

Settings → Connectors → Add custom connector

Name: zernote-mcp
Remote MCP URL: https://zernote.com/mcp

Add this remote URL as a custom connector in Claude Desktop. Availability depends on the user plan and workspace policy.

Cursor

.cursor/mcp.json

{
  "mcpServers": {
    "zernote-mcp": {
      "url": "https://zernote.com/mcp"
    }
  }
}

Visual Studio Code

.vscode/mcp.json

Add to Visual Studio Code

{
  "servers": {
    "zernote-mcp": {
      "type": "http",
      "url": "https://zernote.com/mcp"
    }
  }
}

Generic MCP

Client-specific MCP configuration

{
  "name": "zernote-mcp",
  "transport": "streamable-http",
  "url": "https://zernote.com/mcp"
}

MCP Inspector

Run the official MCP Inspector locally and enter the indexed Streamable HTTP endpoint.

get-skills — Use for startup ideas, office hours, and “I installed this connector to work through an idea”.
projects_read — Read existing research folders.
projects_edit — Create or rename projects.
interviews_read — Read interviews.
interviews_edit — Rename, move, write summary/notes, retranscribe, assign/confirm speakers, or toggle voiceprint.
search — Semantic search for evidence / counter-evidence after you have interview context (e.
cards_read — List L2 coded claim-cards (claim + optional quote + chunk_index + lens + codes + start_seconds?
insights_read — Read the project Insights graph in pages or by node.