MCP server

SSearch Official

cc.ssearch/search

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

Free web search for AI agents. No API key required. Hosted MCP in active development.

Website

At a glance

Type

MCP server

Publisher

ssearch.cc (verified by the MCP Registry)

Status

Working at last check

Tools

8

Token cost

About 820 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 search https://api.ssearch.cc/mcp

Claude Desktop

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

Codex (config.toml)

[mcp_servers.search]
url = "https://api.ssearch.cc/mcp"

Gemini CLI

{"mcpServers":{"search":{"httpUrl":"https://api.ssearch.cc/mcp"}}}

Cursor

{"mcpServers":{"search":{"url":"https://api.ssearch.cc/mcp"}}}

VS Code

{"servers":{"search":{"type":"http","url":"https://api.ssearch.cc/mcp"}}}

Antigravity

agy mcp add search https://api.ssearch.cc/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":"search","server_url":"https://api.ssearch.cc/mcp","require_approval":"always"}

Grok (xAI API tools)

{"type":"mcp","server_label":"search","server_url":"https://api.ssearch.cc/mcp"}

Tools

• fetch_page Browses the web · ~113 tokens
  Fetch and extract readable page text; optionally fall back to Common Crawl.
• forward_canary ~89 tokens
  Dev-only transport proof. Forward a fake canary transiently and return only delivery status. Never use a real credential.
• get_context ~138 tokens
  Retrieve only the stored passages in a search result that are relevant to the information you need.
• get_document ~96 tokens
  Retrieve the broader stored text for a known SSearch document ID.
• search_documents ~122 tokens
  Search SSearch-owned stored full-text documents. Successful misses can be promoted into the live index.
• search_plan ~66 tokens
  Show the normalized local search plan for a query.
• search_sources ~52 tokens
  Describe the local SSearch corpus and search backends.
• search_web ~144 tokens
  Search SSearch. Set wait_for_coverage to search owned documents and, only if needed, external discovery on a miss.

Browse

• Web scraping
• Web search

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