ScavioScavio
ProductPricingDocs
Sign InGet Started
  1. Home
  2. Integrations
  3. Kimi K2 Agent
  4. Google Scholar
Integration

Kimi K2 Agent + Google Scholar

Search Google Scholar from your Kimi K2 Agent agent with Scavio. Get paper title, authors, citation count in structured JSON.

Get Free API KeyAPI Docs

What is Kimi K2 Agent?

Kimi K2 model variant tuned for agentic tool use and long-horizon tasks. Register Scavio as an MCP server to give K2 reliable real-time web, video, and commerce data during multi-step plans.

Searching Google Scholar with Kimi K2 Agent

This integration lets your Kimi K2 Agent agent search Google Scholar in real time via the Scavio API. The agent gets back structured JSON with paper title, authors, citation count, abstract snippet -- ready for reasoning and decision-making.

Setup

Bash
# Register Scavio MCP server in Kimi K2 Agent configuration

Code Example

Here is a complete Kimi K2 Agent agent that searches Google Scholar using Scavio:

Text
# Generic HTTP integration for Kimi K2 Agent
# Use your framework's HTTP request tool to call:
# POST https://api.scavio.dev/api/v1/search
# Header: x-api-key: your_scavio_api_key
# Body: {"query": "your search query"}

Full Working Example

A production-ready example with error handling:

Text
# Generic HTTP integration for Kimi K2 Agent
# Use your framework's HTTP request tool to call:
# POST https://api.scavio.dev/api/v1/search
# Header: x-api-key: your_scavio_api_key
# Body: {"query": "your search query"}

Pricing

Scavio offers a free tier with 50 credits on signup (1 credit per search). No credit card required. This is enough to build and test your Kimi K2 Agent integration. Paid plans start at $30/month for higher volumes.

Frequently Asked Questions

Install Scavio and connect it to your Kimi K2 Agent agent with a short tool or HTTP request that calls the Scavio API. Once connected, your Kimi K2 Agent agent has access to real-time search across Google, Amazon, YouTube, and Walmart.

Scavio works with Kimi K2 Agent via HTTP requests or custom tool definitions. The integration takes under 10 minutes to set up. See the code example above for the full setup.

Once connected, your Kimi K2 Agent agent can search Google (web, news, images, shopping, maps), Amazon (12 marketplaces), YouTube (videos, transcripts, channels), and Walmart. All from a single API key.

Scavio has a free tier with 50 credits on signup (1 credit per search). This is enough to build and test your Kimi K2 Agent integration. Paid plans start at $30/month. There is no per-seat or per-agent pricing.

Yes. The Scavio API returns live Google Scholar results with paper title, authors, citation count in structured JSON. Your Kimi K2 Agent agent can use this data to make informed decisions based on current information.

More Integrations

Kimi K2 Agent + Google

Search Google with Kimi K2 Agent

Read more

Kimi K2 Agent + Amazon

Search Amazon with Kimi K2 Agent

Read more

Kimi K2 Agent + Reddit

Search Reddit with Kimi K2 Agent

Read more

Scavio + Kimi K2 Agent

Full Kimi K2 Agent integration guide

Read more

Scavio + LangChain

LangChain integration guide

Read more

Scavio + CrewAI

CrewAI integration guide

Read more

Scavio + AutoGen

AutoGen integration guide

Read more

Add Real-Time Search to Kimi K2 Agent

Get your free Scavio API key and connect Kimi K2 Agent to Google, Amazon, YouTube, Walmart, and Reddit. 50 free credits on signup.

Get Started FreeRead the Docs
ScavioScavio

Real-time search API for AI agents. Search every platform, not just Google.

Product

  • Features
  • Pricing
  • Dashboard
  • Affiliates

Developers

  • Documentation
  • API Reference
  • Quickstart
  • MCP Integration
  • Python SDK

Alternatives

  • Tavily Alternative
  • SerpAPI Alternative
  • Firecrawl Alternative
  • Exa Alternative

Tools

  • JSON Formatter
  • cURL to Code
  • Token Counter
  • All Tools

© 2026 Scavio. All rights reserved.

Featured on TAAFT
Terms of ServicePrivacy Policy