MCP server

The Notetakers Official

com.thenotetakers/reviews

Checked 26 Oct 2026, 08:29 UTC · Connected to it and listed its tools

Read-only search and Markdown for The Notetakers reviews of AI meeting notetakers.

Working at last checkVerified publisher: thenotetakers.comAbout 525 tokens per request once connected3 tools

https://thenotetakers.com/api/mcp

At a glance

Type: MCP server
Publisher: thenotetakers.com (verified by the MCP Registry)
Status: Working at last check
Tools: 3
Token cost: About 525 tokens per request
Sets up in: Claude Code, Claude Desktop, Codex, Gemini CLI, Cursor, VS Code, Antigravity, ChatGPT, OpenAI API, Grok
Last checked: 26 Oct 2026, 08:29 UTC

Opens the app, which shows the server and asks you to confirm. For other apps, copy the setup below.

Claude Code

claude mcp add --transport http reviews https://thenotetakers.com/api/mcp

Claude Desktop

Settings → Connectors → Add custom connector, and paste the URL.

Codex (config.toml)

[mcp_servers.reviews]
url = "https://thenotetakers.com/api/mcp"

Gemini CLI

{"mcpServers":{"reviews":{"httpUrl":"https://thenotetakers.com/api/mcp"}}}

Cursor

{"mcpServers":{"reviews":{"url":"https://thenotetakers.com/api/mcp"}}}

VS Code

{"servers":{"reviews":{"type":"http","url":"https://thenotetakers.com/api/mcp"}}}

Antigravity

agy mcp add reviews https://thenotetakers.com/api/mcp

ChatGPT

Settings → Apps & Connectors → Advanced settings: turn on Developer mode, then Create a connector and paste the URL. Which plans can do this varies.

OpenAI API (Responses tools)

{"type":"mcp","server_label":"reviews","server_url":"https://thenotetakers.com/api/mcp","require_approval":"always"}

Grok (xAI API tools)

{"type":"mcp","server_label":"reviews","server_url":"https://thenotetakers.com/api/mcp"}

get_llms_txt ~152 tokens
Return the site llms.txt index: what the site covers, every post with its Markdown URL, and other agent entry points. With full set to true, return llms-full.txt, which includes every post body. Use for a whole-site overview or bulk reading, not for finding one post; use search_posts for that.
get_post_markdown ~142 tokens
Return the full Markdown of one post, with YAML frontmatter, as served at /<slug>.md. Use when you already have a slug from search_posts. To read many posts at once, use get_llms_txt with full set to true instead.
search_posts ~231 tokens
Find or list published posts. Returns slug, title, description, canonical URL, Markdown URL and last updated date for each match, newest updated first, without the post body. Use this first to discover slugs, then call get_post_markdown for the full text. Matches query case-insensitively against tit

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