# LinkedIn MCP Server (remote · linkedin.run.mcp.com.ai)

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

- Trust score: 59/100 (low)
- Change this week: +3
- Registry status: active
- Liveness: live
- Owner verified: no
- Last scored: 2026-08-03

## Components

- remote · `linkedin.run.mcp.com.ai`: 59/100 (this document), [markdown](https://verifymcp.io/servers/ai-com-mcp-linkedin/linkedin.md), [page](https://verifymcp.io/servers/ai-com-mcp-linkedin/linkedin)

## Channel facts

- Endpoint: `https://linkedin.run.mcp.com.ai/mcp`
- Transports: `streamable-http`
- Auth: `none`
- Version: `1.0.0+0.7.1`

## Trust breakdown

How this component scores in each security and reliability category. Every signal is checked automatically against the live server, and we only credit what we can confirm. Scores are 0–100 per category. Scoring method: https://verifymcp.io/docs/scoring (what has changed: https://verifymcp.io/docs/scoring/changelog)

Scored 2026-08-03.

- **Endpoint Security**: 57/100
  - The endpoint's TLS certificate is valid, in date, and uses a strong key.
  - Authorisation not fully verified: this server exposes a tool marked destructive (createSharePost) and its handshake is open, but we could not confirm whether a tool call is gated, so we do not assert it is callable unauthenticated.
  - HTTPS is enforced; there's no plaintext access path.
  - HSTS check failed: the Strict-Transport-Security header is absent.
  - DNSSEC check failed: this domain isn't protected by DNSSEC.
- **Transport & Reachability**: 100/100
  - Verified streamable-http transport via a live MCP handshake.
- **Schema Quality & AI Usability**: 64/100
  - 100% of prompts and resources have a non-trivial description (not blank, and not just the item's name).
  - AI-judged instruction clarity (poor).
  - Tool/resource definitions use about 171 tokens (~28/item across 6 items; 3 tools + 3 resources), lean.
  - Usage-examples check failed: none of the tools include examples.
- **Stability & Change Management**: 27/100
  - Stability observed for 8 of 30 days with no destabilising changes; credit accrues until the full window elapses.
- **Tool Coverage**: 67/100
  - 100% of tools have a non-trivial description (not blank, and not just the tool's name).
  - 0% of tool parameters carry a description.
- **Capabilities**: 60/100
  - Spec-recency check failed: implements MCP spec 2025-06-18; the latest is 2026-07-28.

## Install

### Claude

```bash
claude mcp add --transport http ai-com-mcp-linkedin https://linkedin.run.mcp.com.ai/mcp
```

### Codex

```toml
[mcp_servers.ai-com-mcp-linkedin]
url = "https://linkedin.run.mcp.com.ai/mcp"
```

### opencode

```json
{
  "$schema": "https://opencode.ai/config.json",
  "mcp": {
    "ai-com-mcp-linkedin": {
      "type": "remote",
      "url": "https://linkedin.run.mcp.com.ai/mcp",
      "enabled": true
    }
  }
}
```

### OpenClaw

```bash
openclaw mcp add ai-com-mcp-linkedin --url https://linkedin.run.mcp.com.ai/mcp --transport streamable-http
```

### Hermes

```yaml
mcp_servers:
  ai-com-mcp-linkedin:
    url: "https://linkedin.run.mcp.com.ai/mcp"
```

### Other

```json
{
  "mcpServers": {
    "ai-com-mcp-linkedin": {
      "type": "http",
      "url": "https://linkedin.run.mcp.com.ai/mcp"
    }
  }
}
```

The mcpServers block is a cross-client convention. Remote transports vary, so check your client's docs.

## Changelog

Every change recorded for this component, newest first. Days that predate change tracking, or that we cannot explain, say so: "we were watching and nothing happened" and "we were not watching" are different claims.

### 2026-08-02 (score 59, +1)

No change was recorded against any check on this day. Stability & Change Management went from 20 to 23. That category is still filling its 30-day observation window: 6 days of observed history at the previous scan, 7 at this one. The score rises as the window fills, whether or not the server changes.

### 2026-07-31 (score 58, +2)

- [functional] We updated how we score, so this day's move reflects our rubric, not a change to the server

### 2026-07-30 (score 56, −1)

- [functional] We updated how we score, so this day's move reflects our rubric, not a change to the server

### 2026-07-28 (score 57, +1)

No change was recorded against any check on this day. Stability & Change Management went from 3 to 7. That category is still filling its 30-day observation window: 1 days of observed history at the previous scan, 2 at this one. The score rises as the window fills, whether or not the server changes.

### 2026-07-27 (score 56, +1)

- [functional] We updated how we score, so this day's move reflects our rubric, not a change to the server

### 2026-07-26 (score 55)

First indexed and scored.

## MCP tools (3)

### `createSharePost` (~45 tokens)

Share on LinkedIn, create a share post

Share on LinkedIn, create a share post - Create a new share post on LinkedIn using text, URLs, and images

Input parameters:

- `createSharePostBody` (object, required)

### `getSharePosts` (~44 tokens)

Get share posts

Get share posts - Retrieve share posts for the authenticated user or organization

Input parameters:

- `authors` (string)
- `count` (integer)
- `start` (integer)

### `getPersonProfile` (~21 tokens)

Get person profile

Get person profile - Get basic profile information for a person

## Diagnostics

Captured diagnostic sections: TLS, DNSSEC, Authorisation, Transports. The full working is on the page: https://verifymcp.io/servers/ai-com-mcp-linkedin/linkedin#diagnostics

## Score history

- 2026-08-03: 59
- 2026-08-02: 59
- 2026-08-01: 58
- 2026-07-31: 58
- 2026-07-30: 56
- 2026-07-29: 57
- 2026-07-28: 57
- 2026-07-27: 56
- 2026-07-26: 55

## Links

- Remote endpoint: https://linkedin.run.mcp.com.ai/mcp
- Repository: https://github.com/la-rebelion/hapimcp
- Website: https://run.mcp.com.ai/
- Changelog RSS feed: https://verifymcp.io/servers/ai-com-mcp-linkedin/linkedin/changelog.xml
- Changelog JSON feed: https://verifymcp.io/servers/ai-com-mcp-linkedin/linkedin/changelog.json
- HTML version of this page: https://verifymcp.io/servers/ai-com-mcp-linkedin/linkedin