LinkedIn Profile Scraper MCP Server
Server Configuration
Describes the environment variables required to run the server.
| Name | Required | Description | Default |
|---|---|---|---|
| RAPIDAPI_KEY | Yes | API key from RapidAPI for accessing the Fresh LinkedIn Profile Data API |
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 |
|---|---|
| get_profileB | Get LinkedIn profile data for a given profile URL. |
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 1 tool
With only one tool, there is no possibility of ambiguity or overlap between tools. The tool's purpose is clearly defined and distinct by default.
The single tool name follows a clear verb_noun pattern (get_profile), and with only one tool, consistency is inherently perfect as there are no other tools to compare against.
A single tool is too few for a server labeled as a 'LinkedIn Profile Scraper MCP Server,' which suggests a broader scope. This minimal set feels thin and underdeveloped for scraping tasks that might include multiple operations like search, batch processing, or data extraction beyond single profiles.
The tool surface is severely incomplete for a LinkedIn scraper. It only allows fetching a single profile by URL, missing essential operations such as searching for profiles, handling authentication, pagination, or extracting additional data like connections or posts, which are typical in scraping workflows.