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search-web

Higress AI Search▌

by cr7258

Enhance AI responses with Higress AI Search—real-time results via leading engines like Bing AI and Microsoft. Supports i

Enhances AI model responses with real-time search results from various engines through Higress ai-search, supporting internet, academic, and internal knowledge searches.

github stars

★ 5

GitHubnpm
Multiple search engines supportedAcademic and web search combinedRequires Higress setup

best for

  • / AI applications needing current web information
  • / Research assistants requiring academic paper access
  • / Enterprise AI with internal knowledge search

capabilities

  • / Search Google, Bing, and Quark for web information
  • / Query arXiv for academic papers and research
  • / Search internal knowledge bases
  • / Enhance AI responses with real-time search results

what it does

Provides real-time search capabilities through Higress ai-search, allowing AI models to access current information from web search engines, academic sources, and internal knowledge bases.

about

Higress AI Search is a community-built MCP server published by cr7258 that provides AI assistants with tools and capabilities via the Model Context Protocol. Enhance AI responses with Higress AI Search—real-time results via leading engines like Bing AI and Microsoft. Supports i It is categorized under search web.

how to install

You can install Higress AI Search in your AI client of choice. Use the install panel on this page to get one-click setup for Cursor, Claude Desktop, VS Code, and other MCP-compatible clients. This server runs locally on your machine via the stdio transport.

license

Apache-2.0

Higress AI Search is released under the Apache-2.0 license. This is a permissive open-source license, meaning you can freely use, modify, and distribute the software.

readme

README content is unavailable from source data for this server.

Open GitHub repository

FAQ

What is the Higress AI Search MCP server?
Higress AI Search is a Model Context Protocol (MCP) server profile on explainx.ai. MCP lets AI hosts (e.g. Claude Desktop, Cursor) call tools and resources through a standard interface; this page summarizes categories, install hints, and community ratings.
How do MCP servers relate to agent skills?
Skills are reusable instruction packages (often SKILL.md); MCP servers expose live capabilities. Teams frequently combine both—skills for workflows, MCP for APIs and data. See explainx.ai/skills and explainx.ai/mcp-servers for parallel directories.
How are reviews shown for Higress AI Search?
This profile displays 10 aggregated ratings (sample rows for discoverability plus signed-in user reviews). Average score is about 4.5 out of 5—verify behavior in your own environment before production use.
MCP server reviews

Ratings

4.5★★★★★10 reviews
  • ★★★★★Shikha Mishra· Oct 10, 2024

    Higress AI Search is among the better-indexed MCP projects we tried; the explainx.ai summary tracks the official description.

  • ★★★★★Piyush G· Sep 9, 2024

    We evaluated Higress AI Search against two servers with overlapping tools; this profile had the clearer scope statement.

  • ★★★★★Chaitanya Patil· Aug 8, 2024

    Useful MCP listing: Higress AI Search is the kind of server we cite when onboarding engineers to host + tool permissions.

  • ★★★★★Sakshi Patil· Jul 7, 2024

    Higress AI Search reduced integration guesswork — categories and install configs on the listing matched the upstream repo.

  • ★★★★★Ganesh Mohane· Jun 6, 2024

    I recommend Higress AI Search for teams standardizing on MCP; the explainx.ai page compares cleanly with sibling servers.

  • ★★★★★Oshnikdeep· May 5, 2024

    Strong directory entry: Higress AI Search surfaces stars and publisher context so we could sanity-check maintenance before adopting.

  • ★★★★★Dhruvi Jain· Apr 4, 2024

    Higress AI Search has been reliable for tool-calling workflows; the MCP profile page is a good permalink for internal docs.

  • ★★★★★Rahul Santra· Mar 3, 2024

    According to our notes, Higress AI Search benefits from clear Model Context Protocol framing — fewer ambiguous “AI plugin” claims.

  • ★★★★★Pratham Ware· Feb 2, 2024

    We wired Higress AI Search into a staging workspace; the listing’s GitHub and npm pointers saved time versus hunting across READMEs.

  • ★★★★★Yash Thakker· Jan 1, 2024

    Higress AI Search is a well-scoped MCP server in the explainx.ai directory — install snippets and categories matched our Claude Code setup.