Linkd
by automcp-app
Linkd uses the LinkedIn API for easy recruitment—search contacts, extract profiles, and boost sales prospecting with dee
What it does
Integrates with Linkd API to extract LinkedIn profiles, search for users and companies, and retrieve contact information for sales prospecting and recruitment workflows.
About
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.
How to install
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.
License
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.
Readme
Frequently Asked Questions
- What is the Linkd MCP server?
- Linkd is a Model Context Protocol (MCP) server profile on explainx.ai. MCP lets AI hosts (e.g. Claude Desktop, Cursor) call tools and resources through a standard interface; this page summarizes categories, install hints, and community ratings.
- How do MCP servers relate to agent skills?
- Skills are reusable instruction packages (often SKILL.md); MCP servers expose live capabilities. Teams frequently combine both—skills for workflows, MCP for APIs and data. See explainx.ai/skills and explainx.ai/mcp-servers for parallel directories.
- How are reviews shown for Linkd?
- This profile displays 68 aggregated ratings (sample rows for discoverability plus signed-in user reviews). Average score is about 4.4 out of 5—verify behavior in your own environment before production use.
Use Cases
Web Research & Information Gathering
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
Content Monitoring & Alerts
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
Data Extraction & Aggregation
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
Discussion
Comments — not star reviews- No comments yet — start the thread.
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Ratings
4.4★★★★★68 reviews- ★★★★★Nikhil Robinson· Dec 28, 2024
Linkd is a well-scoped MCP server in the explainx.ai directory — install snippets and categories matched our Claude Code setup.
- ★★★★★Dhruvi Jain· Dec 24, 2024
Linkd is among the better-indexed MCP projects we tried; the explainx.ai summary tracks the official description.
- ★★★★★James Bhatia· Dec 20, 2024
According to our notes, Linkd benefits from clear Model Context Protocol framing — fewer ambiguous “AI plugin” claims.
- ★★★★★Hiroshi Chen· Dec 16, 2024
Useful MCP listing: Linkd is the kind of server we cite when onboarding engineers to host + tool permissions.
- ★★★★★Harper Perez· Dec 16, 2024
Linkd is among the better-indexed MCP projects we tried; the explainx.ai summary tracks the official description.
- ★★★★★Valentina Iyer· Dec 16, 2024
We evaluated Linkd against two servers with overlapping tools; this profile had the clearer scope statement.
- ★★★★★Aarav Johnson· Nov 19, 2024
Linkd is among the better-indexed MCP projects we tried; the explainx.ai summary tracks the official description.
- ★★★★★Oshnikdeep· Nov 15, 2024
Linkd is a well-scoped MCP server in the explainx.ai directory — install snippets and categories matched our Claude Code setup.
- ★★★★★Nikhil Gonzalez· Nov 11, 2024
Linkd has been reliable for tool-calling workflows; the MCP profile page is a good permalink for internal docs.
- ★★★★★Harper Gonzalez· Nov 7, 2024
Linkd reduced integration guesswork — categories and install configs on the listing matched the upstream repo.
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