Outscraper MCP Server
Server Configuration
Describes the environment variables required to run the server.
| Name | Required | Description | Default |
|---|---|---|---|
| OUTSCRAPER_API_KEY | Yes | Your API key from Outscraper (get it from https://app.outscraper.com/profile) |
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
Server capabilities have not been inspected yet.
Tools
Functions exposed to the LLM to take actions
| Name | Description |
|---|---|
| google_maps_searchA | |
| google_maps_reviewsB | |
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 2 tools
The two tools have clearly distinct purposes: google_maps_reviews extracts reviews from specific places, while google_maps_search finds businesses and places based on queries. There is no overlap in functionality - one is for retrieving existing reviews, the other is for discovering places.
Both tools follow the exact same naming pattern: google_maps_ followed by a descriptive action (reviews, search). The naming is perfectly consistent and immediately communicates what each tool does within the Google Maps/Outscraper domain.
With only 2 tools, this server feels significantly under-scoped for what appears to be a Google Maps data extraction service. While the two tools cover basic search and review extraction, there are likely many other Google Maps operations that would be valuable (business details, photos, directions, etc.).
For a Google Maps data extraction server, the surface is severely incomplete. While search and review extraction are useful starting points, there's no coverage for getting detailed business information, extracting photos, retrieving directions, accessing opening hours, or other common Google Maps operations. Agents will hit dead ends trying to perform comprehensive Google Maps tasks.