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Search the web, open pages, and find text via an MCP server.
Copy the install command and let the AI configure it · recommended for beginners
No copy-paste install info for "dsh-bing-search" yet — see the docs or source repo.
Use dsh-bing-search to search for "vector database RAG best practices" and return high-quality results with brief summaries.
Returns relevant web search results with a brief quality-oriented overview.
Open this article page and extract the key information about pricing, features, and release date.
Outputs the requested key details from the page for quick review.
Find where "API rate limit" appears in the opened page and quote the relevant passage.
Returns the matched text locations or snippets along with relevant context.
Researchers or students can use it to search public sources on a topic and prioritize higher-quality results. This reduces the time spent manually filtering search results.
Product managers can open target pages and find specific text when verifying competitor or official product information. This helps them quickly locate features, pricing, or documentation details.
Developers can connect this MCP server to DeepSeek Harness so the model can search the web, open pages, and find text. It is useful for agent workflows that need external web information.
This is an MCP server for DeepSeek Harness that provides web search, page opening, and text finding. It uses DuckDuckGo first, falls back to Bing when needed, and includes quality scoring.
Based on the description, it uses DuckDuckGo first and Bing as a fallback. The exact fallback conditions or scoring details are not provided.
The provided material does not include installation, configuration, or prerequisite details. See the source repository for exact steps.
Search the web and retrieve online information through DeepSeek's native search API.
Search across platforms and analyze websites with browser automation.
Search the web and fetch relevant page content without an API key.
Search the web and fetch page content for AI-driven research tasks.
Search the web in real time, read URLs, and find technical docs.
Enable AI agents to search the web and retrieve structured results.