MCP server

Transica Official

dev.transica/transica

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

Checks whether a web page is ready for AI agents and whether an MCP server meets directory rules

Working at last checkVerified publisher: transica.devAbout 415 tokens per request once connected2 tools

https://transica-mcp.transica.dev/mcp

At a glance

Type: MCP server
Publisher: transica.dev (verified by the MCP Registry)
Status: Working at last check
Tools: 2
Token cost: About 415 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 transica https://transica-mcp.transica.dev/mcp

Claude Desktop

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

Codex (config.toml)

[mcp_servers.transica]
url = "https://transica-mcp.transica.dev/mcp"

Gemini CLI

{"mcpServers":{"transica":{"httpUrl":"https://transica-mcp.transica.dev/mcp"}}}

Cursor

{"mcpServers":{"transica":{"url":"https://transica-mcp.transica.dev/mcp"}}}

VS Code

{"servers":{"transica":{"type":"http","url":"https://transica-mcp.transica.dev/mcp"}}}

Antigravity

agy mcp add transica https://transica-mcp.transica.dev/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":"transica","server_url":"https://transica-mcp.transica.dev/mcp","require_approval":"always"}

Grok (xAI API tools)

{"type":"mcp","server_label":"transica","server_url":"https://transica-mcp.transica.dev/mcp"}

check_mcp_server_directory_rules ~220 tokens
Returns server details, tool counts, directory-specific results, individual checks, and a full report link after connecting to a public remote MCP server and reading its tool list without calling tools. Use it when someone asks whether an MCP server meets ChatGPT or Claude directory requirements; fo
scan_webpage_ai_readiness ~195 tokens
Returns a readiness score, passed and failed checks, category results, top fixes, limitations, and a report link for one public webpage. Use it when someone asks whether a webpage is accessible and usable by AI agents; for checking an MCP server's directory compliance, use check_mcp_server_directory

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