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Bing Search MCP Server

MCP Server

AI-Enabled Web, News, and Image Search via Bing API

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Updated 16 days ago

About

A Model Context Protocol server that lets AI assistants perform web, news, and image searches using the Microsoft Bing Search API. It handles rate limiting and error management for reliable queries.

Capabilities

Resources
Access data sources
Tools
Execute functions
Prompts
Pre-built templates
Sampling
AI model interactions

Bing Search MCP Server

The Bing Search MCP server bridges the gap between AI assistants and live web content by exposing Microsoft’s Bing Search API through a lightweight, Model Context Protocol interface. Instead of hard‑coding static knowledge into an assistant, developers can now query the internet for up‑to‑date information, news headlines, or visual media directly from within their AI workflow. This capability is especially valuable for applications that require real‑time data, such as chatbots answering current events, research assistants summarizing recent publications, or creative tools sourcing images for design.

At its core, the server offers three distinct search tools: bing_web_search, bing_news_search, and bing_image_search. Each tool accepts a simple query string along with optional parameters for pagination, locale, and freshness, mirroring the flexibility of the underlying Bing API. The web search tool retrieves general webpages and content summaries, the news tool filters for recent articles based on a freshness window (e.g., day, week), and the image tool returns thumbnails with metadata. The server handles rate limiting and comprehensive error handling, ensuring that clients gracefully respond to quota limits or malformed requests.

For developers using MCP‑compatible assistants such as Claude Desktop or Cursor, integrating the Bing Search server is straightforward: a single configuration entry registers the server and passes the required API key. Once registered, an assistant can invoke any of the three search tools as part of a conversation or task. The assistant can then process, summarize, or transform the returned data—turning raw search results into concise answers, generating visual galleries, or feeding information into downstream models.

Real‑world scenarios abound: a customer support bot can look up the latest product updates; a news aggregator can pull headlines for a daily briefing; an educational assistant can fetch the newest research papers; and a creative design tool can surface relevant images for mood boards. Because the server operates over MCP, it integrates seamlessly into existing toolchains without requiring changes to the assistant’s core logic. The ability to query live data on demand, combined with robust error handling and a clear API surface, makes the Bing Search MCP server a powerful addition for any AI developer looking to enrich their applications with current, web‑based information.