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Bing Search MCP Server

Bing Search MCP Server: Searches the web, reads links, and returns LLM-friendly content and links, designed for intelligent agents.

Introduction

Bing Search MCP Server

Searches the web and reads links

This is a Model Context Protocol (MCP) server project.

Tools
search(query: str) -> str
  • Calls the Bing Search API with the provided query.
  • Processes each URL from the search results:
    • Gets the content of the page
    • Converts it to Markdown using Markitdown
    • Parses out links separately. Caches a unique hash to associate with each link.
    • (Optional, on by default) Uses sampling to select the most important links to return.
    • (Optional, on by default) Filters out the Markdown content to the most important parts.
  • Returns the processed content and links as a LLM-friendly string.
click(hashes: list[str]) -> str
  • Takes a list of hashes (which originate from the search tool).
  • For each hash gets the corresponding URL from the local cache.
  • Then does the same processing as search for each URL and returns a similar LLM-friendly string.
Setup and Installation

Simply run:

make

To create the virtual environment and install dependencies.

Running the Server

Use the VSCode launch configuration, or run manually:

Defaults to stdio transport:

uv run mcp-server-bing-search

For SSE transport:

uv run mcp-server-bing-search --transport sse --port 6030

The SSE URL is:

http://127.0.0.1:6030/sse
Client Configuration

To use this MCP server in your setup, consider the following configuration:

Stdio
{
  "mcpServers": {
    "mcp-server-bing-search": {
      "command": "uv",
      "args": ["run", "-m", "mcp_server_bing_search.start"]
    }
  }
}
SSE
{
  "mcpServers": {
    "mcp-server-bing-search": {
      "command": "http://127.0.0.1:6030/sse",
      "args": []
    }
  }
}

Information

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