Tectova MCP server
OfficialThis server has a remotely hosted endpoint. Open its connector listing for connection details, authentication requirements, and setup instructions:
Tectova MCP server
The official Model Context Protocol server for Tectova, the runway record of the fashion industry.
It lets Claude, ChatGPT, Cursor and other AI agents look up models' runway careers, show casts, fashion-house histories and models by country. Every answer links back to the matching page on tectova.com.
Server URL:
https://tectova.com/mcp(Streamable HTTP)
This repository holds documentation, the registry metadata (server.json) and a Claude Code
plugin. The server runs on tectova.com.
Tools
Tool | What it does |
| Models from a country: most cast, new to the runway, the houses and casting directors that cast them, and who walked each fashion week this season. |
| A model's or creative's runway record: seasons, cities, houses, agencies and frequent collaborators. |
| The cast of a runway show. |
| A fashion house's runway shows over time and the faces it keeps casting. |
| Finds models, creatives, fashion houses and agencies by name, so the other tools can look them up. |
Ask your assistant
Question | Tool |
"Which Chinese models walked New York Fashion Week this season?" |
|
"Which Danish models opened or closed a show in Milan this season?" |
|
"Which Argentine models are new to the runway?" |
|
"Which casting directors cast Japanese models most often?" |
|
"Who is the most cast Dutch model at Paris Fashion Week?" |
|
"Did Awar Odhiang walk Milan Fashion Week in FW26?" |
|
"Which houses has Julia Nobis walked for most?" |
|
"Which agency represents Awar Odhiang?" |
|
"Who walked for Prada in FW26?" |
|
"Who walked Prada's SS27 womenswear show?" |
|
"Which models does Saint Laurent cast again and again?" |
|
All tools are read-only. Answers open with one sentence an assistant can quote, followed by the tectova.com link and the date the data is current to.
Related MCP server: Web Research MCP
Connect
Use the server URL https://tectova.com/mcp in any MCP client. Setup for each client:
In claude.ai or Claude Desktop: Customize → Connectors → Add → Add custom connector, paste
https://tectova.com/mcp and choose No sign in. On Team and Enterprise plans, an owner adds it
under Organization settings → Connectors.
In Claude Code:
claude mcp add --transport http tectova https://tectova.com/mcpAdd to ~/.cursor/mcp.json:
{
"mcpServers": {
"tectova": { "url": "https://tectova.com/mcp" }
}
}Add to .vscode/mcp.json:
{
"servers": {
"tectova": { "type": "http", "url": "https://tectova.com/mcp" }
}
}On the web: Plugins → + → Add custom MCP server. Paste https://tectova.com/mcp as the Server URL,
choose No authentication, then Create as a plugin.
Install as a Claude Code plugin
The plugin adds the server and a fashion-runway-research skill that tells Claude when to use
the tools and how to cite them. In a Claude Code session:
/plugin marketplace add tectova/tectova-mcp
/plugin install tectova@tectovaOn Claude Code 2.1.275 or later, one line does both:
/plugin install tectova --marketplace tectova/tectova-mcp.
What the data covers
It covers what tectova.com publishes and nothing more. Each answer carries the date the data is current to.
Counts are the documented record on Tectova, which may not be a complete career. The method is described at https://tectova.com/methodology.
No images. The server returns facts and links, not photographs.
Requests are rate-limited per client. Lists are paginated.
Attribution
When you use Tectova's data, credit it with a link: "Source: Tectova (tectova.com)". Bulk redistribution or resale of the dataset isn't permitted. Terms: https://tectova.com/terms.
Privacy and corrections
What the server logs: https://tectova.com/privacy. It logs the length of any search text, never the text itself.
To correct or remove a record or an image: https://tectova.com/takedown.
Contact: support@tectova.com
License
The documentation in this repository is licensed under CC BY 4.0. Tectova's data isn't stored here and isn't covered by this license; see the attribution terms above.
This server cannot be deployed
Maintenance
Related MCP Connectors
SEC filings, Wikipedia, arXiv, US Census and more for AI agents, with every answer source-linked.
Sourced public knowledge for AI agents: search and read records with evidence; moderated writes.
Direct access to 60+ scraping and search tools. Extract structured data from Google (Search, Maps, Trends), Amazon, Airbnb, Social Media, and any web page directly into your AI agent.
Free web search, 130M+ business records, local search, weather and travel data for AI agents.
Related MCP Servers
- AlicenseNot gradedqualityDmaintenanceEnables AI agents to fetch and extract clean, readable content from web pages, and search within pages for specific queries, without needing a full browser.1MIT
- AlicenseAqualityAmaintenanceEnables AI agents to search and fetch high-quality information from multiple sources, including general web APIs, Wikipedia, arXiv, Hacker News, Stack Exchange, and Crossref, with optional pro-mode deep research and clean markdown page extraction.10MIT
- AlicenseNot gradedqualityBmaintenanceEnables AI agents to search the web, read and extract content from webpages, fetch JSON from REST APIs, and collect links while bypassing anti-bot protections.22 npmISC
- AlicenseNot gradedqualityCmaintenanceEnables AI agents to look up facts about notable machine-learning models — organization, release date, parameter count, training-compute (FLOP) estimate, hardware and accessibility — by name, and to search or aggregate them by organization, domain, year, or compute threshold. Supports filtering the dataset newest-first and producing per-year training-compute trends, keylessly and without authentication.395 npmMIT