Index / MCP servers / DeepSearch documentation

DeepSearch documentation MCP server

DeepSearch documentation is a remote MCP server that gives an AI agent 4 tools, among them get_api_reference, get_doc, list_docs. It answers at https://deepsearch.app/api/docs/mcp over streamable HTTP, and it listed its tools to an anonymous client, so no sign-in was needed for that. Our probes reached it 10 of 10 times since 5 September 2026; the last check, on 18 October 2026, succeeded.

Status
Answering
Tools
4
Official
yes, served from deepsearch.app
Reliability
10 of 10 checks
Response time
499 ms
Transport
streamable HTTP
Last checked
18 October 2026

Read and search DeepSearch's own documentation: the product manual, every published guide and blog post, the REST API reference, the legal pages, and the product brief. Every result cites the deepsearch.app URL it came from. Public, unauthenticated, and read-only.

Description as the publisher wrote it.

The 4 tools DeepSearch documentation offers

ToolWhat it does
get_api_referenceThe developer reference for DeepSearch's REST API, straight from the specification the docs site renders: base URL, authentication, every endpoint with its parameters, a runnable request in curl, Node, or Python, an example response, and th
Inputs: endpoint, include_errors
get_docReturn the full Markdown text of one document, by the id that search_docs or list_docs gave you. Ids are the site path without the leading slash, so they are also guessable: `guides/how-to-remove-your-information-from-people-search-sites`,
Inputs: id, max_chars
list_docsThe table of contents for DeepSearch's documentation: every document with its id, title, one-line summary, and URL. Use it to see what exists before searching, or to enumerate one kind of document - every guide, every API endpoint, every le
Inputs: kind, limit
search_docsFull-text search across everything DeepSearch has published about itself: the product manual, every guide and blog post, the REST API reference, the legal pages, and the product brief. Returns ranked documents, each with a snippet taken fro
Inputs: query, limit, kinds

Add DeepSearch documentation to your AI client

Every block below points at https://deepsearch.app/api/docs/mcp. Pick your client and copy.

Claude Code: one command in your terminal
claude mcp add --transport http deepsearch-documentation https://deepsearch.app/api/docs/mcp
Claude Desktop: claude_desktop_config.json
{
  "mcpServers": {
    "deepsearch-documentation": {
      "command": "npx",
      "args": ["-y", "mcp-remote", "https://deepsearch.app/api/docs/mcp"]
    }
  }
}
Cursor: ~/.cursor/mcp.json, or .cursor/mcp.json in a project
{
  "mcpServers": {
    "deepsearch-documentation": {
      "url": "https://deepsearch.app/api/docs/mcp"
    }
  }
}
VS Code and GitHub Copilot: .vscode/mcp.json
{
  "servers": {
    "deepsearch-documentation": {
      "type": "http",
      "url": "https://deepsearch.app/api/docs/mcp"
    }
  }
}
Zed: Zed settings.json
{
  "context_servers": {
    "deepsearch-documentation": {
      "url": "https://deepsearch.app/api/docs/mcp"
    }
  }
}
Windsurf: ~/.codeium/mcp_config.json
{
  "mcpServers": {
    "deepsearch-documentation": {
      "serverUrl": "https://deepsearch.app/api/docs/mcp"
    }
  }
}
JetBrains AI Assistant: Settings, Tools, AI Assistant, MCP, New MCP Server, as JSON
{
  "mcpServers": {
    "deepsearch-documentation": {
      "url": "https://deepsearch.app/api/docs/mcp"
    }
  }
}
Continue: .continue/mcpServers/neuronto.yaml
name: DeepSearch documentation
version: 0.0.1
schema: v1
mcpServers:
  - name: DeepSearch documentation
    type: streamable-http
    url: https://deepsearch.app/api/docs/mcp
Gemini CLI: ~/.gemini/settings.json
{
  "mcpServers": {
    "deepsearch-documentation": {
      "httpUrl": "https://deepsearch.app/api/docs/mcp"
    }
  }
}
Codex CLI: MCP server config
{
  "mcpServers": {
    "deepsearch-documentation": {
      "type": "http",
      "url": "https://deepsearch.app/api/docs/mcp"
    }
  }
}
Warp: MCP servers, + Add, paste JSON
{
  "mcpServers": {
    "deepsearch-documentation": {
      "url": "https://deepsearch.app/api/docs/mcp"
    }
  }
}
Goose: a one-click extension link
goose://extension?url=https%3A%2F%2Fdeepsearch.app%2Fapi%2Fdocs%2Fmcp&type=streamable_http&id=deepsearch-documentation&name=DeepSearch%20documentation

Is DeepSearch documentation up right now?

It answered our last check on 18 October 2026 in 499 ms. Over 10 checks since 5 September 2026 it answered 10. Status here comes from Neuronto's own probes, not from the publisher.

MCP servers similar to DeepSearch documentation

Questions about DeepSearch documentation

Is there an official DeepSearch documentation MCP server?

Yes. It is published by deepsearch.app and served from deepsearch.app, the vendor's own domain: https://deepsearch.app/api/docs/mcp.

How many tools does DeepSearch documentation have?

4, as returned by the server's own tools/list on 31 August 2026: get_api_reference, get_doc, list_docs, search_docs.

Is DeepSearch documentation down?

It answered our last check on 18 October 2026 in 499 ms. Over 10 checks since 5 September 2026 it answered 10.

How do I add DeepSearch documentation to Cursor?

Put the server under mcpServers in ~/.cursor/mcp.json with the URL https://deepsearch.app/api/docs/mcp. The exact JSON is above, with the same setup for Claude Code, Claude Desktop, VS Code, Windsurf, Zed, Gemini CLI and the rest.

Does DeepSearch documentation need an API key?

It listed its tools to an anonymous client, so reading the tool list needs no key. Individual tools can still ask for credentials in their own inputs.

Where this comes from

Publisher: deepsearch.app. Endpoint host: deepsearch.app. ARD identifier: urn:air:deepsearch.app:mcp:deepsearch-docs. First indexed 31 August 2026. The tools are exactly what the server returned; nothing on this page is inferred from its name. Ranking in Neuronto search is never for sale.

Is this your server? Get a message the day it stops answering or its tools change: monitoring, 14 days free. Or claim the domain to manage how it is listed.