"Using Bing Search to Answer Questions" matching MCP servers:

Provides Bing Chinese search and webpage crawling tools, enabling AI assistants to fetch real-time web information without API keys.

Enables Claude to query Bing Webmaster Tools performance, crawl, sitemap, backlink, and keyword data in plain language through the official Bing Webmaster API. It is read-only and runs locally using your own API key.

Provides AI agents full access to Bing Webmaster Tools API for site management, URL submission, sitemaps, traffic stats, keyword research, and URL blocking.

Enables a chat host to open a blank, dialog-embedded handwriting sheet where users draw answers with a finger, stylus, or mouse, then submit strokes as a replayed PNG plus JSON for optional external grading.

Production-grade MCP server for Microsoft Advertising (Bing Ads) API. Enables Claude to manage Bing/Microsoft Ads accounts with full campaign, ad group, keyword, and performance analysis capabilities.

MCP server enabling AI assistants to manage Microsoft Advertising (Bing Ads) campaigns, including campaigns, ad groups, keywords, and ad extensions via a clean set of tools.

Enables users to ask buyer questions across Google AI Overviews, ChatGPT, Claude, Perplexity, and Gemini and receive sampled answer rows, brand named/cited rates, competitor rates, and cited sources. Runs the tracking workflow on Apify and returns dataset rows ready for analysis.

Enables users to manage sites, review traffic, and work with sitemaps through Microsoft's webmaster API.

Provides a scaffold for connecting AI assistants to Microsoft's trusted-partner business listings API, laying groundwork for managing business listing operations over the REST endpoints. It does not yet make live API calls.

Enables AI agents to search local Markdown documents using natural language, with automatic indexing and section-level retrieval.

A Model Context Protocol server that converts Markdown documents to plain text with flexible options and dual protocol support.

Enables deep web search across multiple providers including Google, Bing, Brave, DuckDuckGo, and Perplexity, with support for comprehensive AI-powered research using intelligent multi-engine queries.

A Model Context Protocol server that converts Markdown content to HTML format.

Turns any OpenAPI REST or GraphQL API into an MCP server, allowing AI assistants like Claude to interact with APIs without writing code.

Enables AI assistants to search the web using Google Search via Gemini grounding, returning a summarized answer with inline citations and a list of source URLs.

Enables existing Express routers to be exposed as MCP tools, dispatching tool calls through the Express middleware stack in-process without a network hop.

A bridge that enables any LLM to access and interact with documented REST APIs through the Model Context Protocol (MCP).

A standalone proxy that transforms any OpenAPI or Swagger-described REST API into an MCP server by mapping API operations to executable MCP tools. It enables AI clients to interact with existing web services through automated HTTP requests based on their official documentation.

Enables MCP clients to expose selected operations from local OpenAPI 3.0/3.1 documents as tools, with stdio serving or generated standalone server projects and read-only defaults.

A Cloudflare Worker that transforms Cloudflare AI Search (AutoRAG) instances into an MCP server for querying documentation. It enables AI models to search and retrieve relevant information from custom document sets stored in R2 buckets.

Enables Claude Code to interact with Slack via MCP tools, allowing thinking steps, text streaming, status updates, and stream closure in Slack threads.

Enables AI assistants to perform Google searches with real, resolvable sources and transparent search terms.

Provides an MCP server that enables web search and page extraction across multiple providers with automatic failover and quota rotation, plus a local dashboard for managing keys, engine order, and request history.

Free multi-source search for AI agents with multi-source verification, token savings, and MCP native support.

Exposes DeepSeek's Search and Fetch REST APIs as two read-only MCP tools, letting any MCP-capable agent run ranked web searches and retrieve individual pages as truncated Markdown. Works with whichever model the host runs, over stdio or Streamable HTTP.

A personal job-search assistant for Claude Desktop that searches real job boards, scores each job 0–100 for fit, and displays a ranked board for fast triage.

Free web search, web-page reading as Markdown, and llms.txt documentation retrieval for MCP clients. Runs locally with Node.js over stdio using @alkasima/alka-search-mcp. Searches DuckDuckGo, Mojeek, and Brave; default providers require no API key. Website and provider availability may vary.

Enables blazingly fast file and content searching in large codebases using ripgrep, with intelligent filtering, fuzzy finding, and directory tree visualization while respecting .gitignore and avoiding common bloat directories.

Clones a Git repo into a temp directory so MCP clients can search and read files from another repo for context.

A cost-aware stdio MCP server for the Tavily Search API, supporting basic, fast, ultra fast, and advanced searches with credit tracking and automatic API key rotation.