linkedapi-mcp — security grade SAFE, quality 60/100

Security audit verdict: SAFE · quality 60/100

No red flags found in any of the 11 categories — no credential harvesting, no data exfiltration, no curl-pipe-shell installer. Scanned against the SlowMist agent-security taxonomy, refreshed every 8 hours. Full audit →

by Linked-API · MCP Server · ★ 68

Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h

🔒 Is linkedapi-mcp safe to install? View the security audit →

About linkedapi-mcp

Linked API MCP server connects your LinkedIn account to AI assistants like Claude, Cursor, and VS Code. Ask them to search for leads, send messages, analyze profiles, and much more – they'll handle it through our cloud browser, safely and automatically. Use cases Sales automation assistant. Ask your AI to find leads, check their profiles, and draft personalized outreach. It can search for "software engineers at companies with 50-200 employees in San Francisco", analyze their backgrounds, and suggest connection messages that actually make sense. Recruitment assistant. Let your assistant search for candidates with specific skills, review their experience, and send initial outreach. It handles the time-consuming parts while you focus on actually talking to people. Conversation assistant. Your AI can read your existing LinkedIn conversations and help you respond naturally. It understands the context of your chats, suggests relevant replies, and can even send follow-up messages. Market research assistant. Need competitor analysis? Your assistant can gather data about companies, their employees, and recent activities.

b2b-marketinggrowth-hackinglinkedinlinkedin-automationlinkedin-datamcpmcp-serversales-automationsocial-selling

Quick Facts

Stars68
Forks5
LanguageTypeScript
CategoryMCP Server
LicenseMIT
Quality Score59.8564801649953/100
Last Updated2026-09-29
Created2025-08-06
Platformsmcp, node
Est. Tokens~14k

linkedapi-mcp alternative? Top 6 similar tools

Looking for a linkedapi-mcp alternative? If you're comparing linkedapi-mcp with other mcp server tools, these 6 projects are the closest alternatives on Agent Skills Hub — ranked by topic overlap, star count, and community traction.

  • linkedin-mcp by gtm-api · ⭐ 89

    Managed LinkedIn MCP server for AI agents: search, connect, message & enrich on LinkedIn from Claude, ChatGPT

  • skene by SkeneTechnologies · ⭐ 121

    Product-Led Growth (PLG) analysis toolkit that detects tech stacks, plans growth loops and builds the loop ite

  • mcp-linkedin by adhikasp · ⭐ 191

    A Model Context Protocol (MCP) server that provides tools to interact with LinkedIn's Feeds and Job API.

  • hanzi-browse by hanzili · ⭐ 177

    let any ai agent use the local browser

  • growth-marketing-os by growthack88 · ⭐ 105

    Growth Marketing OS | Mahmoud Omar — open-source AI marketing prompts, Claude skills, agents & growth playbook

  • hanzi-in-chrome by hanzili · ⭐ 94

    any llm browsing for you in chrome

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Frequently Asked Questions

What is linkedapi-mcp?

linkedapi-mcp is MCP server that lets AI assistants control LinkedIn accounts and retrieve real-time data.. It is categorized as a MCP Server with 68 GitHub stars.

What programming language is linkedapi-mcp written in?

linkedapi-mcp is primarily written in TypeScript. It covers topics such as b2b-marketing, growth-hacking, linkedin.

How do I install or use linkedapi-mcp?

You can find installation instructions and usage details in the linkedapi-mcp GitHub repository at github.com/Linked-API/linkedapi-mcp. The project has 68 stars and 5 forks, indicating an active community.

What license does linkedapi-mcp use?

linkedapi-mcp is released under the MIT license, making it free to use and modify according to the license terms.

What are the best alternatives to linkedapi-mcp?

The top alternatives to linkedapi-mcp on Agent Skills Hub include linkedin-mcp, skene, mcp-linkedin. Each offers a different approach to the same problem space — compare them side-by-side by stars, quality score, and community activity.

How this security grade is produced

Grades come from a rule-based scan built on the SlowMist agent-security taxonomy, covering 11 red-flag categories including credential harvesting, data exfiltration, and curl | sh installers. It is a first-layer scan, not a manual audit — we say so rather than overstate it.

The scale of the problem is documented independently: Liu et al. (2026), in a study of 31,132 agent skills, report that 26.1% contain security vulnerabilities. Our own full-catalog census is published as a citable open dataset.

Sources & who's responsible:

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