Enables AI agents and tools to access real-time, high-volume search engine data through a unified Model Context Protocol interface.
Enables AI agents and tools to access real-time, high-volume search engine data through a unified Model Context Protocol interface.
Run Google, Bing, and Yahoo searches, resolve locations, and query Jobs, Local, Videos, and more — directly from Cursor, VS Code, Claude Desktop, or any MCP-compatible client. No custom API integration required.
| Requirement | Notes | |-------------|-------| | Tool-calling Llama model | A model that supports tool calls (e.g. llama3.1, llama3.2) installed and running via Ollama | | Python 3.10+ | Required to run the ollmcp terminal client | | Node.js | Required to run the SERPHouse MCP server via npx |
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| Requirement | Notes | |-------------|-------| | Tool-calling Llama model | A model that supports tool calls (e.g. llama3.1, llama3.2) installed and running via Ollama | | Python 3.10+ | Required to run the ollmcp terminal client | | Node.js | Required to run the SERPHouse MCP server via npx |
| Variable | Description | Required |
|---|---|---|
| SERPHOUSE_API | Configuration value read at startup. | Optional |
Retrieve public web pages as readable Markdown with the reference Fetch MCP server, including pagination for longer responses.
Use Firecrawl MCP to retrieve website content and extract information for research through Firecrawl’s API-backed web tools.
Free web search for AI agents. No API key required. Hosted MCP in active development.
An MCP server implementation that brings the power of Perplexity's Sonar models to Claude Desktop and other MCP clients. Unlike traditional MCP servers, this implementation provides access to…
Guest bindings for tauri-plugin-mcp — lets AI agents interact with and debug Tauri apps
A powerful Model Context Protocol (MCP) server that provides an all-in-one solution for public web access.