An MCP server for integrating Microsoft Bing Search API, supporting web page, news, and image search functions, providing network search capabilities for AI assistants.

This project is an MCP server that provides API bridging services for Bing Webmaster Tools, supporting AI assistants to interact with Bing Webmaster Tools through the MCP protocol.

MCP-Geo is an MCP server based on GeoPY, providing geocoding and reverse geocoding functions, and supporting multiple geocoding service providers, such as Nominatim, ArcGIS, and Bing.

A pure crawler - based web search MCP service based on Node.js, supporting Bing web page and news searches without an official API, providing high - performance crawling and health monitoring functions.

CData's Bing Ads MCP Server project provides a read-only Model Context Protocol (MCP) service that allows LLMs to access live Bing Ads data through natural language queries. This project is based on the CData JDBC Driver, exposing Bing Ads data as a relational SQL model and simplifying data access through the MCP interface.

The MCP Edge Search Server is a Python service that provides web search and content extraction functions for MCP clients (such as Claude Desktop), supporting Bing search and web text cleaning.

Controtto is a self-hosted profit and loss tracking tool developed with Go and HTMX, no JavaScript required. It records transactions through the SQLite database, providing average purchase prices, current asset values, transaction histories, import/export functions, and profit and loss calculations. It supports multiple APIs to obtain asset prices, such as Binance, BingX, Alpha Vantage, and Tiingo.

A web search MCP service based on pure crawler technology, supports Bing web and news searches, does not require an official API, and includes intelligent anti - detection and URL cleaning functions.

The CData Bing Ads MCP server project exposes Bing Ads data in a relational SQL model through the JDBC driver and builds a read - only MCP server, enabling LLMs (such as Claude Desktop) to query real - time data through natural language.