# io.github.devag7/linkedin-mcp (npm · linkedin-mcp-tools)

LinkedIn for AI assistants — search, profiles, jobs, feed, messaging, and gated writes.

- Trust score: 64/100 (medium)
- Change this week: +18
- Registry status: active
- Liveness: live
- Owner verified: no
- Last scored: 2026-08-03

## Components

- npm · `linkedin-mcp-tools`: 64/100 (this document), [markdown](https://verifymcp.io/servers/devag7-linkedin-mcp/linkedin-mcp-tools.md), [page](https://verifymcp.io/servers/devag7-linkedin-mcp/linkedin-mcp-tools)

## Channel facts

- Registry: `npm`
- Package: `linkedin-mcp-tools`
- Version: `2.0.3`
- Transport: `stdio`

## Trust breakdown

How this component scores in each security and reliability category. Every signal is checked automatically from public evidence about the published package, including repeated runs of it in an isolated sandbox, 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.

- **Supply Chain Security**: 87/100
  - No malware found by supply-chain analysis.
  - Only part of the dependency tree could be resolved (98 of 102), so this covers what we could see, not the whole tree.
  - No install/post-install scripts declared.
  - Only part of the dependency tree could be resolved (98 of 102), so this covers what we could see, not the whole tree.
- **Provenance & Transparency**: 45/100
  - Source repository is publicly reachable at the declared URL.
  - Provenance check failed: no build-provenance attestation is published.
  - Clear OSI-approved license (MIT).
  - Actively maintained (last published 46 days ago).
  - Disclosure check failed: no security disclosure policy was found in the source repository.
- **Schema Quality & AI Usability**: 71/100
  - AI-judged instruction clarity (good).
  - Tool/resource definitions use about 1406 tokens (~63/item across 22 items; 22 tools + 0 resources), lean.
  - Usage-examples check failed: none of the tools include examples.
- **Stability & Change Management**: 0/100
  - Stability not yet verified: not enough scan history yet (needs a 30-day window).
- **Tool Coverage**: 99/100
  - 100% of tools have a non-trivial description (not blank, and not just the tool's name).
  - 97% of tool parameters carry a description.
- **Capabilities**: 100/100
  - Implements a supported MCP spec version (2025-11-25); the latest is 2026-07-28.

**Unverified: 1 category.** A category scored 0 because we could not verify it: a data source with nothing on this package, evidence we could not reach, or a check we could not run. We only credit what we can confirm.

## Install

### Claude

```bash
claude mcp add devag7-linkedin-mcp -- npx -y linkedin-mcp-tools
```

### Codex

```bash
codex mcp add devag7-linkedin-mcp -- npx -y linkedin-mcp-tools
```

### opencode

```json
{
  "$schema": "https://opencode.ai/config.json",
  "mcp": {
    "devag7-linkedin-mcp": {
      "type": "local",
      "command": [
        "npx",
        "-y",
        "linkedin-mcp-tools"
      ],
      "enabled": true
    }
  }
}
```

### OpenClaw

```bash
openclaw mcp add devag7-linkedin-mcp --command npx --arg -y --arg linkedin-mcp-tools
```

### Hermes

```yaml
mcp_servers:
  devag7-linkedin-mcp:
    command: "npx"
    args: ["-y", "linkedin-mcp-tools"]
```

### Other

```json
{
  "mcpServers": {
    "devag7-linkedin-mcp": {
      "command": "npx",
      "args": [
        "-y",
        "linkedin-mcp-tools"
      ]
    }
  }
}
```

## 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 64, +43)

- [security regression] Provenance: unverified → fail
- [security improvement] Known CVEs: unverified → partial
- [security improvement] Install scripts: unverified → pass
- [security improvement] Malware scan: unverified → pass
- [security] Stability: Stability not yet verified: not enough scan history yet (needs a 30-day window).
- [functional improvement] Schema quality: unverified → good
- [functional improvement] Maintenance: unverified → pass
- [functional improvement] Dependency health: unverified → partial
- [functional improvement] License: unverified → pass
- [functional improvement] MCP protocol: unverified → pass
- [functional] Licence: MIT

### 2026-08-01 (score 21, +15)

- [functional regression] Dependency health: partial → unverified
- [functional improvement] Tool coverage: unverified → 100

### 2026-07-31 (score 6, −22)

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

### 2026-07-30 (score 28, −18)

- [security regression] Malware scan: pass → unverified

### 2026-07-27 (score 46)

First indexed and scored.

## MCP tools (22)

### `whoami` (~19 tokens)

Report server version, browser/login status, and capabilities.

### `health_check` (~53 tokens)

Deep health check: cookie login state, a LIVE Voyager probe (confirms the API actually answers, not just that a cookie exists), and today's safety-budget headroom (per-action used/cap/remaining + pending invites).

### `close_session` (~21 tokens)

Close the browser context and release resources (kills the Chrome process).

### `get_my_profile` (~26 tokens)

Get the authenticated user's own LinkedIn profile (experience, education, headline, summary).

### `get_profile` (~56 tokens)

Get a LinkedIn profile by public identifier (the slug in the profile URL, e.g. "satyanadella").

Input parameters:

- `username` (string, required): LinkedIn public identifier / vanity slug, e.g. "williamhgates"

### `get_feed` (~37 tokens)

Get recent posts from your LinkedIn home feed (author + post text).

Input parameters:

- `count` (integer): Number of posts (default 10)

### `get_notifications` (~36 tokens)

Get your recent LinkedIn notifications (headline, time, read state).

Input parameters:

- `count` (integer): Number of notifications (default 20)

### `search_people` (~66 tokens)

Search LinkedIn people by keywords. Returns name, headline, location, and public identifier (pass that to get_profile for full details).

Input parameters:

- `count` (integer): Results (default 10)
- `keywords` (string, required): Search keywords, e.g. "recruiter at Google"

### `search_jobs` (~76 tokens)

Search LinkedIn jobs by keywords (and optional location). Returns title, location, posted time.

Input parameters:

- `count` (integer): Results (default 10)
- `keywords` (string, required): Job search keywords, e.g. "software engineer"
- `location_geo_id` (string): Optional LinkedIn geo URN id to scope the location

### `get_inbox` (~25 tokens)

List your recent LinkedIn messaging conversations (title, last activity, unread count).

### `get_job_details` (~58 tokens)

Get full details for a job posting by its numeric id (the digits in /jobs/view/<id> or from search_jobs jobUrn).

Input parameters:

- `job_id` (string, required): Numeric job id, e.g. "4423697734"

### `search_companies` (~62 tokens)

Search LinkedIn companies by keywords. Returns name + universalName slug (pass that to get_company for full details).

Input parameters:

- `count` (integer): Results (default 10)
- `keywords` (string, required): Search keywords, e.g. "fintech bangalore"

### `get_company` (~58 tokens)

Get a company by its LinkedIn URL slug (e.g. "google", "microsoft"). Returns name, description, website, industry, size, HQ.

Input parameters:

- `universal_name` (string, required): Company URL slug, e.g. "google"

### `get_company_posts` (~67 tokens)

Get a company's recent posts by its LinkedIn URL slug (e.g. "google"). Returns post text + a short meta line.

Input parameters:

- `count` (integer): Posts to return (default 10)
- `universal_name` (string, required): Company URL slug, e.g. "google"

### `get_company_employees` (~76 tokens)

List employees LinkedIn surfaces for a company (by URL slug). Returns name, headline, and public identifier (feed the slug to get_profile). Prospecting core.

Input parameters:

- `count` (integer): Employees to return (default 10)
- `universal_name` (string, required): Company URL slug, e.g. "anthropicresearch"

### `get_pending_invitations` (~68 tokens)

List your pending connection invitations — received (inbound, with the urn/sharedSecret to accept later) and sent (outbound). Read-only.

Input parameters:

- `count` (integer): Max per direction (default 50)
- `direction` (string): Which queue to return (default both)

### `get_conversation` (~55 tokens)

Read messages in a LinkedIn conversation by its URN (get the URN from get_inbox).

Input parameters:

- `conversation_urn` (string, required): Full urn:li:msg_conversation:(...) from a get_inbox result

### `connect_with_person` (~117 tokens)

[ALPHA, write] Send a connection request. Gated: requires confirm:true. Returns a structured status (ok | duplicate | already_connected | restricted | quota_exhausted | failed). Counts against the daily connect cap.

Input parameters:

- `confirm` (boolean): Must be true to actually execute. Omit/false = refuse (safety).
- `message` (string): Optional note (max 300 chars)
- `profile_id` (string, required): The fsd_profile id (the ACoAA… part of the profile URN)

### `send_message` (~166 tokens)

[ALPHA, write] Send a message. Pass thread_id / conversation_urn to REPLY into an existing conversation (verified); otherwise a new thread is started to recipient_urn (best-known). Gated: requires confirm:true. Returns a structured status. Counts against the daily message cap.

Input parameters:

- `confirm` (boolean): Must be true to actually execute. Omit/false = refuse (safety).
- `message` (string, required): Message body (multiline supported)
- `recipient_urn` (string): Recipient member URN (urn:li:fsd_profile:ACoAA…). Required when starting a NEW thread.
- `thread_id` (string): Existing thread id (2-…) or full msg_conversation urn to reply into (preferred over recipient_urn).

### `create_post` (~74 tokens)

[ALPHA, write] Publish a text post to your feed. Gated: requires confirm:true. Returns a structured status.

Input parameters:

- `confirm` (boolean): Must be true to actually execute. Omit/false = refuse (safety).
- `text` (string, required): Post text
- `visibility` (string): Audience

### `react_to_post` (~94 tokens)

[ALPHA, write] React to a post. Gated: requires confirm:true. Returns a structured status.

Input parameters:

- `confirm` (boolean): Must be true to actually execute. Omit/false = refuse (safety).
- `post_urn` (string, required): The post ACTIVITY urn, e.g. urn:li:activity:7472… (not the share urn)
- `reaction` (string)

### `comment_on_post` (~96 tokens)

[ALPHA, write] Comment on a post. Gated: requires confirm:true. Returns a structured status.

Input parameters:

- `confirm` (boolean): Must be true to actually execute. Omit/false = refuse (safety).
- `post_urn` (string, required): The post ACTIVITY urn, e.g. urn:li:activity:7472… (not the share urn)
- `text` (string, required): Comment text

## Diagnostics

Captured diagnostic sections: Provenance, Dependencies. The full working is on the page: https://verifymcp.io/servers/devag7-linkedin-mcp/linkedin-mcp-tools#diagnostics

## Score history

- 2026-08-03: 64
- 2026-08-02: 64
- 2026-08-01: 21
- 2026-07-31: 6
- 2026-07-30: 28
- 2026-07-28: 46
- 2026-07-27: 46

## Links

- npm package: https://www.npmjs.com/package/linkedin-mcp-tools
- Socket report: https://socket.dev/npm/package/linkedin-mcp-tools
- Repository: https://github.com/devag7/linkedin-mcp
- Changelog RSS feed: https://verifymcp.io/servers/devag7-linkedin-mcp/linkedin-mcp-tools/changelog.xml
- Changelog JSON feed: https://verifymcp.io/servers/devag7-linkedin-mcp/linkedin-mcp-tools/changelog.json
- HTML version of this page: https://verifymcp.io/servers/devag7-linkedin-mcp/linkedin-mcp-tools