search

Web search for AI agents. Ranked results with page passages already extracted, plus URL to markdown.

Should I use this

Quality & Safety

A
Description quality
100%
Schema completeness
92%
Naming quality
80%
Poisoning risk
100%
Permission match
100%
Protocol compliance
100%

Based on automated analysis of tool definitions and protocol compliance.

Context Cost

~426Tokens (tool definitions)
~1.6 KBTypical response size
Minimal attention impact (0.33% of 128k context)

This is the approximate number of tokens consumed each time the server's tools are loaded into a model's context. Higher counts reduce the attention available for other tasks.

Install

One-Click Install

Add this to your `claude_desktop_config.json` file:

{
  "mcpServers": {
    "search": {
      "url": "https://search.neurobird.com/mcp"
    }
  }
}

Remote endpoints

https://search.neurobird.com/mcpstreamable-http

What it can do

Tool inventory

Tools (2)

🟢 Read-only🟡 Write🔴 Delete⚪ Unknown
🟢web_search(query, search_depth, max_results, include_answer, include_domains, ...)

Search the live web and get ranked results with the relevant passages already extracted from each page. Use search_depth 'advanced' for research questions, 'basic' for a quick lookup. Set include_answer to get a grounded summary whose quotes are checked against their sources.

Input Schema

{
  "type": "object",
  "properties": {
    "query": {
      "type": "string",
      "description": "The search query."
    },
    "search_depth": {
      "type": "string",
      "enum": [
        "basic",
        "standard",
        "advanced"
      ],
      "default": "standard",
      "description": "How much work to do. advanced expands the query and reads more pages."
    },
    "max_results": {
      "type": "integer",
      "default": 6,
      "minimum": 1,
      "maximum": 20
    },
    "include_answer": {
      "type": "boolean",
      "default": true
    },
    "include_domains": {
      "type": "array",
      "items": {
        "type": "string"
      },
      "description": "Only return results from these domains."
    },
    "exclude_domains": {
      "type": "array",
      "items": {
        "type": "string"
      }
    },
    "days": {
      "type": "integer",
      "description": "Restrict to the last N days."
    },
    "topic": {
      "type": "string",
      "enum": [
        "general",
        "news",
        "code",
        "science",
        "finance"
      ],
      "default": "general"
    }
  },
  "required": [
    "query"
  ]
}
🟢extract_url(urls, query, format)

Fetch one or more URLs and return their main content as clean markdown, with navigation, ads and boilerplate removed. Pass a query to get only the passages of each page relevant to it.

Input Schema

{
  "type": "object",
  "properties": {
    "urls": {
      "type": "array",
      "items": {
        "type": "string"
      },
      "description": "URLs to read."
    },
    "query": {
      "type": "string",
      "description": "Optional. Trims each page to its relevant passages."
    },
    "format": {
      "type": "string",
      "enum": [
        "markdown",
        "text"
      ],
      "default": "markdown"
    }
  },
  "required": [
    "urls"
  ]
}

Community

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Evidence

Recent observations

verifiedversion not recorded2 tools
verifiedversion not recorded2 tools
verifiedversion not recorded2 tools