What is Kimi Agent?
Moonshot AI's Kimi coding and research agent with swarm-style multi-agent orchestration. Expose Scavio as an MCP server so every Kimi sub-agent gets real-time Google, YouTube, Amazon, and Reddit data during planning and execution.
Searching Google Reviews with Kimi Agent
This integration lets your Kimi Agent agent search Google Reviews in real time via the Scavio API. The agent gets back structured JSON with review text, star rating, reviewer profile, review date -- ready for reasoning and decision-making.
Setup
# Register Scavio MCP server in Kimi Agent settingsCode Example
Here is a complete Kimi Agent agent that searches Google Reviews using Scavio:
# Generic HTTP integration for Kimi Agent
# Point your framework's HTTP request tool at:
#
# POST https://api.scavio.dev/api/v2/google/maps/reviews
# Authorization: Bearer sk_live_your_key
# Content-Type: application/json
# {"data_id":"your search query","num":10,"sort_by":"newest"}
#
# Rows come back under reviews.
#
# Reviews are per place: get a data_id (or place_id) from POST /api/v2/google/maps/search first. Owner responses are not part of this response.
Full Working Example
A production-ready example with error handling:
# Generic HTTP integration for Kimi Agent
# Point your framework's HTTP request tool at:
#
# POST https://api.scavio.dev/api/v2/google/maps/reviews
# Authorization: Bearer sk_live_your_key
# Content-Type: application/json
# {"data_id":"your search query","num":10,"sort_by":"newest"}
#
# Rows come back under reviews.
#
# Reviews are per place: get a data_id (or place_id) from POST /api/v2/google/maps/search first. Owner responses are not part of this response.
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 Agent integration. Paid plans start at $30/month for higher volumes.