MCP server

metasearch MCP Official

tr.com.metasearch/metasearch-mcp

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

Hotel and travel feed validation, normalization and requirement comparison.

Website Source

At a glance

Type

MCP server

Publisher

metasearch.com.tr (verified by the MCP Registry)

Status

Working at last check

Tools

12

Token cost

About 2,613 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

Add to CursorAdd to VS CodeVS Code Insiders

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 metasearch-mcp https://metasearch.com.tr/mcp

Claude Desktop

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

Codex (config.toml)

[mcp_servers.metasearch-mcp]
url = "https://metasearch.com.tr/mcp"

Gemini CLI

{"mcpServers":{"metasearch-mcp":{"httpUrl":"https://metasearch.com.tr/mcp"}}}

Cursor

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

VS Code

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

Antigravity

agy mcp add metasearch-mcp https://metasearch.com.tr/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":"metasearch-mcp","server_url":"https://metasearch.com.tr/mcp","require_approval":"always"}

Grok (xAI API tools)

{"type":"mcp","server_label":"metasearch-mcp","server_url":"https://metasearch.com.tr/mcp"}

Tools

• compare_feed_readiness ~306 tokens
  Run the same static feed through multiple platform rule packs and compare readiness scores, errors, warnings and validation issues.
• compare_platform_requirements ~198 tokens
  Compare documented or readiness-oriented field requirements across supported hotel and catalog platforms before designing a feed mapping.
• detect_feed_format ~190 tokens
  Detect whether a supplied hotel or catalog feed payload is JSON, NDJSON, XML, CSV or TSV before parsing or validation.
• normalize_hotel_feed ~270 tokens
  Parse a hotel feed and normalize common supplier or platform aliases into a canonical hotel-record shape without changing the source payload.
• suggest_feed_fixes ~267 tokens
  Validate a supplied feed for one target and turn deterministic validation issues into remediation actions for the affected records.
• validate_criteo_catalog ~186 tokens
  Check a product or travel catalog for Criteo import readiness, content coverage, IDs, URLs and images.
• validate_feed ~265 tokens
  Validate a supplied static hotel or catalog feed against one selected platform rule pack or the generic hotel master-data audit.
• validate_google_hotel_center_list ~196 tokens
  Validate a Google Hotel Center Hotel List static feed, including identifiers, address, country and phone or geo requirements.
• validate_hotel_master_data ~175 tokens
  Run a platform-independent hotel master-data quality audit.
• validate_meta_catalog ~188 tokens
  Check a hotel or travel catalog for Meta mapping and catalog readiness. This is not official Meta certification.
• validate_trivago_hotel_data ~187 tokens
  Validate CSV or JSON hotel inventory against trivago FastConnect's published Hotel Data requirements.
• validate_wego_hotel_feed ~185 tokens
  Validate a static hotel feed against Wego-oriented published requirements and data-quality checks.

Browse

• Website monitoring
• Spreadsheets
• Travel and flights

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