Is ai.com.mcp/linkedin safe to use?

ai.com.mcp/linkedin has no known CVEs as of the latest MCPpedia security scan. It does not require authentication, so any local process can connect — keep this in mind in shared environments.

How do I install ai.com.mcp/linkedin?

ai.com.mcp/linkedin can be installed by cloning its GitHub repository and following the setup instructions in the README.

What AI clients work with ai.com.mcp/linkedin?

ai.com.mcp/linkedin is compatible with claude-desktop, cursor, claude-code. It uses stdio transport.

Is ai.com.mcp/linkedin actively maintained?

ai.com.mcp/linkedin is less actively maintained — last commit was 91 days ago. It has 8 GitHub stars.

ai.com.mcp/linkedin

LinkedIn API as MCP tools to retrieve profile data and publish content. Powered by HAPI MCP.

8 0 tools GitHub

No known CVEs

No license

Maintained

Last commit 91d ago

Works with most clients

Transport: stdio

0 tools

Grade F

Edit this pageView history

Marketing Communication

Step 1

Install in your client

Config is the same across clients — only the file and path differ.

Supported in Claude Desktopstdio · Node 18+

Paste into ~/Library/Application Support/Claude/claude_desktop_config.json

{
  "mcpServers": {
    "ai-com-mcp-linkedin": {
      "command": "<see-readme>",
      "args": []
    }
  }
}

Are you the author?

Add this badge to your README to show your security score and help users find safe servers.

Embed in your READMEAbout badges →

[![MCPpedia Score](https://mcppedia.org/api/badge/ai-com-mcp-linkedin)](https://mcppedia.org/s/ai-com-mcp-linkedin)

Read me

What ai.com.mcp/linkedin does

Stop rewriting systems for AI. Instantly turn your APIs into MCP servers.

Test This Server

No automated test available for this server. Check the GitHub README for setup instructions.

Loading README…

Scored, not listed

Why this score

Five weighted categories — click any category to see the underlying evidence.

Score breakdown

31/100across 5 weighted dimensions

How we score →

0255075100

−69

Security

Maintenance

Efficiency

Documentation

Compatibility

Categoriesclick a row to see evidence

Security

OSV.dev

No known CVEs.

No package registry to scan.

Community

Reviews

Be the first to review

Have you used this server?

Share your experience — it helps other developers decide.

How easy was setup?Did it work reliably?How was the documentation?

Frequently Asked Questions

Is ai.com.mcp/linkedin safe to use?: ai.com.mcp/linkedin has no known CVEs as of the latest MCPpedia security scan. It does not require authentication, so any local process can connect — keep this in mind in shared environments.
How do I install ai.com.mcp/linkedin?: ai.com.mcp/linkedin can be installed by cloning its GitHub repository and following the setup instructions in the README.
What AI clients work with ai.com.mcp/linkedin?: ai.com.mcp/linkedin is compatible with claude-desktop, cursor, claude-code. It uses stdio transport.
Is ai.com.mcp/linkedin actively maintained?: ai.com.mcp/linkedin is less actively maintained — last commit was 91 days ago. It has 8 GitHub stars.

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MCP Security Weekly

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Community

Discussion

Start a conversation

Ask a question, share a tip, or report an issue.

Has anyone used this with Cursor?How do you handle auth?Any alternatives?

Edit this pageView history

Marketing Communication

Step 1

Install in your client

Config is the same across clients — only the file and path differ.

Supported in Claude Desktopstdio · Node 18+

Paste into ~/Library/Application Support/Claude/claude_desktop_config.json

{
  "mcpServers": {
    "ai-com-mcp-linkedin": {
      "command": "<see-readme>",
      "args": []
    }
  }
}

Are you the author?

Add this badge to your README to show your security score and help users find safe servers.

Embed in your READMEAbout badges →

[![MCPpedia Score](https://mcppedia.org/api/badge/ai-com-mcp-linkedin)](https://mcppedia.org/s/ai-com-mcp-linkedin)

Read me

What ai.com.mcp/linkedin does

Stop rewriting systems for AI. Instantly turn your APIs into MCP servers.

Test This Server

No automated test available for this server. Check the GitHub README for setup instructions.

README

HAPI MCP – Headless API for Model Context Protocol

Stop rewriting systems for AI. Instantly turn your APIs into MCP servers.

HAPI MCP lifts your OpenAPI catalog into MCP tools automatically, keeping design (OAS/Arazzo) and runtime (agents/LLMs) cleanly separated. Your existing APIs become AI-ready tools—no new business logic, no sidecar servers, no rework.

Key Features

No rewrites: Reuse 100% of your API logic. OpenAPI in, MCP tools out. No parallel codebase or shadow services.
Faster time-to-value: Turn specs into agent-ready tools in minutes. Update the spec, ship new tools instantly.
Reduced risk: Permissions, auth, rate limits, auditability are inherited from your APIs—governance without bolt-ons.
Scales with you: runMCP delivers serverless-like elasticity with long-running when needed. Cold-start fast, stay warm for throughput.
Deterministic orchestration: OrcA plans and executes multi-tool tasks predictably—no brittle prompt chaining.
Vendor-neutral: Works with any MCP client: ChatGPT, Claude, QBot, chatMCP. OAS + MCP + Arazzo stay portable.

How It Works

Pick your API spec
- OpenAPI, Swagger, REST—HAPI CLI works with any API specification format.
- Supports OpenAPI 3.0+, REST APIs, OAuth 2.0 Dynamic Client Registration.
Run a single command
- One simple CLI command transforms your API into a usable MCP Server.
- No complex setup, zero configuration, works anywhere, cross-platform.
Use instantly
- Your API is now ready as a tool, AI agent, or testing interface.
- MCP server ready, AI agent compatible, testing interface, developer experience friendly.

Visual Pipeline

API Spec (swagger.json) → HAPI CLI → Usable Tool (AI-ready) ← MCP Clients

[ OpenAPI / Swagger ]       [ HAPI CLI ]        [ MCP Server ]
       (Your API)         →   (Transform)   →   (Usable Tool)
                                                 ↑          ↑
                                                 |          |
                                          [ ChatGPT ]  [ runMCP ]
                                          [ Claude  ]  [ OrcA   ]
                                          [ QBot    ]  [ chatMCP]
                                          [ Agents  ]

Who Wins With HAPI

Executives: Ship AI initiatives without ballooning cost. Keep teams focused on outcomes, not rewrites and integration sprawl.
Architects & PMs: Design with OpenAPI/Arazzo, run with MCP. Clear contracts, policy inheritance, and versioned workflows keep risk low.
Engineers & Ops: Deploy once. HAPI Server + runMCP scale tools; QBot/chatMCP give fast feedback; OrcA keeps executions deterministic.

Your Stack, Already Wired

HAPI Server: Turns OpenAPI into MCP tools automatically—contracts stay in sync with your source of truth.
runMCP: Autoscaling execution and testing for MCP tools; cold-start fast, stay warm when workflows run long.
QBot: CLI TUI for power users to interact with MCP tools directly from terminal or scripts.
chatMCP: Conversational client that speaks MCP natively for support, ops, and internal assistants.
OrcA: Deterministic planning and orchestration for multi-tool tasks; no brittle prompt spaghetti.
Agents: Build agentic systems from standard APIs—no custom glue. Connect MCP clients across platforms.

Demos

Playlist with demos
New HAPI MCP YT Channel with demos API-First and MCP

Documentation

FAQ

Do we need to rewrite our services?
No. HAPI MCP lifts you

... View full README on GitHub

Loading README…

Scored, not listed

Why this score

Five weighted categories — click any category to see the underlying evidence.

Score breakdown

31/100across 5 weighted dimensions

How we score →

0255075100

−69

Security

Maintenance

Efficiency

Documentation

Compatibility

Categoriesclick a row to see evidence

Security

OSV.dev

No known CVEs.

No package registry to scan.

Community

Reviews

Be the first to review

Have you used this server?

Share your experience — it helps other developers decide.

How easy was setup?Did it work reliably?How was the documentation?

Frequently Asked Questions

Is ai.com.mcp/linkedin safe to use?: ai.com.mcp/linkedin has no known CVEs as of the latest MCPpedia security scan. It does not require authentication, so any local process can connect — keep this in mind in shared environments.
How do I install ai.com.mcp/linkedin?: ai.com.mcp/linkedin can be installed by cloning its GitHub repository and following the setup instructions in the README.
What AI clients work with ai.com.mcp/linkedin?: ai.com.mcp/linkedin is compatible with claude-desktop, cursor, claude-code. It uses stdio transport.
Is ai.com.mcp/linkedin actively maintained?: ai.com.mcp/linkedin is less actively maintained — last commit was 91 days ago. It has 8 GitHub stars.