mcp-searchapi
Server Configuration
Describes the environment variables required to run the server.
| Name | Required | Description | Default |
|---|---|---|---|
| SEARCHAPI_API_KEY | Yes | Your SearchApi.io API key. Required to authenticate requests. |
Instructions
Guidance the server publishes about itself, which clients place ahead of the tool catalog so the model reads it before choosing anything.
This server publishes no instructions, or was last inspected before Glama recorded them.
Capabilities
Features and capabilities supported by this server
Protocol revision2025-11-25
| Capability | Details |
|---|---|
| tools | {
"listChanged": true
} |
Tools
Functions exposed to the LLM to take actions
| Name | Description |
|---|---|
| google_searchA | Search Google and return organic web results. Use this for general questions, current events, fact-checking, and finding authoritative pages on any topic. |
| google_newsA | Search Google News for recent news articles. Use this instead of google_search when recency matters or the user asks what is happening with a topic. |
| google_shoppingA | Search Google Shopping for products with prices, sellers and ratings. Use this for price comparison and product availability questions. |
| google_jobsA | Search Google Jobs for job listings with company, location and apply links. Use this for any hiring, vacancy or job market question. This engine does not accept a country code. Pass |
| google_scholarA | Search Google Scholar for academic papers, citations and authors. Use this for research questions where peer-reviewed sources matter. |
| google_mapsA | Search Google Maps for places and local businesses with addresses, ratings, hours and coordinates. Use this for 'near me', 'where can I', or any location-bound question. |
| youtube_searchA | Search YouTube for videos with channel, duration, view count and publish date. Use this when the user wants video content, tutorials or talks. |
| amazon_searchA | Search Amazon for products with price, rating, review count and ASIN. Use this for e-commerce product lookups on Amazon specifically. |
Prompts
Interactive templates invoked by user choice
| Name | Description |
|---|---|
No prompts | |
Resources
Contextual data attached and managed by the client
| Name | Description |
|---|---|
No resources | |
TDQS
Scored across 8 tools
Each tool targets a distinct search vertical (general web, news, shopping, jobs, academic, maps, videos, Amazon). The descriptions clearly specify when to use each, leaving no ambiguity between them.
Most tools follow a 'google_<service>' pattern, but youtube_search and amazon_search use a '<service>_search' pattern, creating a minor inconsistency. The overall style is still readable and predictable.
With 8 tools, the server is well-scoped for a search aggregation service. Each tool covers a major search category without unnecessary redundancy.
The tool surface covers a broad range of search needs: general web, news, shopping, jobs, academic, maps, videos, and e-commerce. For a search-focused server, this is a comprehensive set with no obvious missing core capabilities.