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Kagi MCP Server

MCP Server

Integrate Kagi Search API into Claude workflows

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Updated Dec 25, 2024

About

A TypeScript-based MCP server that provides tools for performing web searches via the Kagi API, enabling Claude to fetch and analyze up-to-date search results. It supports future extensions like summarization and quick responses.

Capabilities

Resources
Access data sources
Tools
Execute functions
Prompts
Pre-built templates
Sampling
AI model interactions

Ac3Xx Mcp Servers Kagi – Overview

The Ac3Xx Mcp Servers Kagi MCP server bridges Claude and other AI assistants with the powerful Kagi Search API. It solves a common pain point for developers: accessing high‑quality web search results directly from an AI workflow without building custom HTTP clients or handling API authentication manually. By exposing Kagi as a first‑class tool, the server lets assistants perform live searches and retrieve up‑to‑date information in a single, seamless interaction.

At its core, the server implements the tool. A user can pass a natural‑language query and an optional result limit, and the server forwards this request to Kagi’s API, returning structured search results. This capability is invaluable for developers building knowledge‑intensive applications—think research assistants, content generators, or data‑driven chatbots—that need to surface current web content without compromising on speed or reliability. Because the server handles authentication via an environment variable, developers can keep their API keys secure while still allowing the assistant to execute searches on demand.

Beyond basic searching, the project outlines a roadmap of advanced tools that will further enrich AI interactions. Planned features include for concise overviews of web pages or arbitrary text, for rapid responses using Kagi’s FastGPT endpoint, and to fetch curated news snippets on specific topics. These extensions will enable assistants to not only retrieve information but also distill it, accelerate responses, and surface contextually relevant media—all while leveraging Kagi’s proven search infrastructure.

In real‑world scenarios, this server is especially useful for developers who need to:

  • Build research assistants that pull the latest studies or news articles in real time.
  • Create content generators that fetch up‑to‑date facts or statistics to enrich articles, reports, or social media posts.
  • Develop data‑analysis tools that combine web search results with internal datasets for trend spotting or competitive intelligence.
  • Enhance chatbots by allowing them to answer user queries with live, verifiable information rather than static knowledge bases.

Integration is straightforward: the MCP server communicates over standard I/O, fitting neatly into existing Claude Desktop setups or any environment that supports the MCP protocol. Developers can add the server to their assistant’s configuration, and the AI will automatically invoke whenever a user request calls for up‑to‑date web data. The server’s clean, declarative API ensures that the assistant can handle errors gracefully and present results in a user‑friendly format.

What sets this MCP server apart is its focus on security, simplicity, and extensibility. By encapsulating the Kagi API behind a well‑defined tool, developers avoid repetitive boilerplate code and reduce exposure of sensitive keys. The modular design allows contributors to drop in new tools—such as summarization or enrichment—without touching the core server logic. As a result, the Ac3Xx Mcp Servers Kagi platform offers a robust, developer‑friendly gateway to live web search that can be expanded as new use cases emerge.