search-server
MCP-based search server supporting multiple engines. search-server is a Model Context Protocol (MCP) server maintained by fengin. It connects to MCP-compatible clients such as Claude Desktop, Cursor, Cline, and other agents that speak the protocol. It exposes 5 tools, including Brave Search, Brave Location Search, Metaso Search, Metaso Scholar Search and Bocha Search, that an agent can call directly. It is categorized under Tool/Search and AI/Integration.
What is this MCP
This is a Model Context Protocol (MCP) implementation for search functionality, providing integration with multiple search engines (Brave, Metaso, Bocha) for AI tools like Claude Desktop and Cursor.
How to use this MCP
Configure the desired search engine in server.py, set up API keys for the selected engine, then integrate with compatible AI tools through their MCP server settings.
What this MCP can be used for
Enhancing AI tools with real-time web/search capabilities, enabling them to fetch and incorporate up-to-date information from multiple search providers directly in their workflows.
AIMCP authority
DR and traffic signal for the AIMCP public domain.
Frequently asked questions
What is the search-server MCP server?
search-server is a Model Context Protocol server from fengin. It lets MCP-compatible AI clients call its tools over a standard interface, so agents like Claude, Cursor, and Cline can use it without custom integration.
How do I connect search-server to my AI client?
Add search-server to your client's MCP configuration using the stdio or SSE connection shown in the usage examples on this page, then restart the client to load the server.
What tools does search-server provide?
search-server provides 5 tools: Brave Search, Brave Location Search, Metaso Search, Metaso Scholar Search and Bocha Search.
Is search-server free to use?
search-server is listed on AIMCP for free. Any API keys or accounts required by the underlying service are set by its provider.
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