by automcp-app
Linkd uses the LinkedIn API for easy recruitment—search contacts, extract profiles, and boost sales prospecting with dee
Integrates with Linkd API to extract LinkedIn profiles, search for users and companies, and retrieve contact information for sales prospecting and recruitment workflows.
Linkd is a community-built MCP server published by automcp-app that provides AI assistants with tools and capabilities via the Model Context Protocol. Linkd uses the LinkedIn API for easy recruitment—search contacts, extract profiles, and boost sales prospecting with dee It is categorized under search web, analytics data.
You can install Linkd in your AI client of choice. Use the install panel on this page to get one-click setup for Cursor, Claude Desktop, VS Code, and other MCP-compatible clients. This server runs locally on your machine via the stdio transport.
MIT
Linkd is released under the MIT license. This is a permissive open-source license, meaning you can freely use, modify, and distribute the software.
Fetch and extract information from websites automatically
Example
Research competitor pricing, scrape product reviews, monitor news mentions
Automate 5-10 hours/week of manual web research
Track website changes, new content, price updates
Example
Monitor competitor blog for new posts, track stock availability, watch for pricing changes
Stay informed without manual checking, never miss important updates
Extract structured data from multiple websites
Example
Compile product listings from 10 e-commerce sites, aggregate job postings, collect real estate data
Build datasets 100x faster than manual copying
Share your MCP server with the developer community
Linkd is a well-scoped MCP server in the explainx.ai directory — install snippets and categories matched our Claude Code setup.
Linkd is among the better-indexed MCP projects we tried; the explainx.ai summary tracks the official description.
According to our notes, Linkd benefits from clear Model Context Protocol framing — fewer ambiguous “AI plugin” claims.
Useful MCP listing: Linkd is the kind of server we cite when onboarding engineers to host + tool permissions.
Linkd is among the better-indexed MCP projects we tried; the explainx.ai summary tracks the official description.
We evaluated Linkd against two servers with overlapping tools; this profile had the clearer scope statement.
Linkd is among the better-indexed MCP projects we tried; the explainx.ai summary tracks the official description.
Linkd is a well-scoped MCP server in the explainx.ai directory — install snippets and categories matched our Claude Code setup.
Linkd has been reliable for tool-calling workflows; the MCP profile page is a good permalink for internal docs.
Linkd reduced integration guesswork — categories and install configs on the listing matched the upstream repo.
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This is an unofficial Model Context Protocol (MCP) Server for Linkd..
More information about automcp can be found at automcp.app.
For detailed API documentation and usage examples, visit the official Linkd documentation.
More information about the Model Context Protocol can be found here.
To install the server, run:
npx linkd-mcp <YOUR-LINKD-API-KEY>
Add to ~/.cursor/mcp.json like this:
{
"mcpServers": {
"linkd": {
"command": "npx",
"args": ["-y", "linkd-mcp"],
"env": {
"LINKD_API_KEY": "YOUR-API-KEY"
}
}
}
}
Add to your ./codeium/windsurf/model_config.json like this:
{
"mcpServers": {
"linkd": {
"command": "npx",
"args": ["-y", "linkd-mcp"],
"env": {
"LINKD_API_KEY": "YOUR-API-KEY"
}
}
}
}
This is an example config for the Linkd MCP server for the Claude Desktop client.
{
"mcpServers": {
"linkd": {
"command": "npx",
"args": ["--yes", "linkd-mcp"],
"env": {
"LINKD_API_KEY": "your-api-key"
}
}
}
}
search_for_users - Search for LinkedIn users with filters like query, school, and match thresholdsearch_for_companies - Search for companies on Linkd using filters like query and match thresholdenrich_linkedin - Retrieves detailed profile information for a specific LinkedIn URL (1 credit per lookup)retrieve_contacts - Retrieves email addresses and phone numbers for a LinkedIn profile (1 credit per lookup)scrape_linkedin - Retrieves detailed profile data and posts with comments from a LinkedIn profile URL (2 credits per request)research_profile - Research a profile using email or phone numberinitiate_deep_research - Start a deep research job for comprehensive LinkedIn data gatheringcheck_deep_research_status - Check the status of an ongoing deep research jobThis project is licensed under the MIT License.
Interact with services that don't offer APIs
Example
Check form submissions, validate website functionality, test user flows
Automate interactions with any website, even without API
Prerequisites
Time Estimate
20-40 minutes including configuration and testing
Steps
Troubleshooting
✓ Do
✗ Don't
💡 Pro Tips
Architecture
MCP server handles HTTP requests, HTML parsing, JavaScript rendering (if headless browser), and returns structured data to Claude.
Protocols
Compatibility
✓ Use when
Use for research automation, content monitoring, data aggregation from multiple sources, and when official APIs don't exist. Best for read-only information gathering.
✗ Avoid when
Avoid for sites with APIs (use API instead), sites that explicitly forbid scraping, when data is copyrighted, or for login-required content without proper authorization.