MCP server
Tailor Official
tech.tailor/mcp
Checked 26 Oct 2026, 08:29 UTC · Connected to it and listed its tools
Tailor Platform for AI assistants: search, list and read the platform documentation.
Working at last checkVerified publisher: tailor.techAbout 644 tokens per request once connected3 tools
https://mcp.tailor.tech/
At a glance
- Type
- MCP server
- Publisher
- tailor.tech (verified by the MCP Registry)
- Status
- Working at last check
- Tools
- 3
- Token cost
- About 644 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
Connect it to your agent
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 tailor https://mcp.tailor.tech/
Claude Desktop
Settings → Connectors → Add custom connector, and paste the URL.
Codex (config.toml)
[mcp_servers.tailor] url = "https://mcp.tailor.tech/"
Gemini CLI
{"mcpServers":{"tailor":{"httpUrl":"https://mcp.tailor.tech/"}}}
Cursor
{"mcpServers":{"tailor":{"url":"https://mcp.tailor.tech/"}}}
VS Code
{"servers":{"tailor":{"type":"http","url":"https://mcp.tailor.tech/"}}}
Antigravity
agy mcp add tailor https://mcp.tailor.tech/
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":"tailor","server_url":"https://mcp.tailor.tech/","require_approval":"always"}
Grok (xAI API tools)
{"type":"mcp","server_label":"tailor","server_url":"https://mcp.tailor.tech/"}
Tools
fetch_knowledge~194 tokens
Return the Markdown source of one documentation page, addressed by an id from search_knowledge or list_knowledge. The first line is the page's URL, for citation. Long pages come back as a heading outline instead; pass section to read one part of them.list_knowledge~200 tokens
List the documentation table of contents: the id, title, source, section and summary of every page. Use this to see what exists when a search does not find the right words; prefer search_knowledge when you know what you are looking for. Narrow the listing with source or section, since the full listisearch_knowledge~250 tokens
Search the body text of Tailor Platform's public documentation and return matching pages with an excerpt. Start here for most questions, then pass an id to fetch_knowledge to read a page in full. Matching is literal and case-insensitive, so prefer the exact terms that would appear in the docs. This
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