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MCP tools reference

LinkedIn MCP Pro exposes 54 MCP tools to AI agents via the Model Context Protocol.

The tools are grouped into families:

drafts

drafts_list()

List all saved drafts.

[
  {"id": "draft_abc", "body": "...", "created_at": "..."}
]

drafts_get(id)

Get a single draft.

drafts_create(body, media?, tags?)

Create a new draft.

Param Type Required Description
body string yes Post text
media string[] no Image URLs
tags string[] no Hashtags

Returns: {id, ok, created_at}

drafts_update(id, body?, tags?, media?)

Update an existing draft. Only specified fields change.

drafts_delete(id)

Permanently delete a draft.

drafts_publish(id, account?)

Publish a draft. Subject to safety gates.

Param Type Required Description
id string yes Draft ID
account string no Account name (default: default)

Returns: {ok, post_id, posted_at} or {ok: false, reason: "..."} if blocked.

schedules

schedules_list()

List pending schedules.

schedules_create(draft_id, at)

Param Type Required Description
draft_id string yes Draft ID
at string yes ISO 8601 UTC timestamp

schedules_update(id, at?)

Reschedule.

schedules_cancel(id)

Cancel a schedule (draft is preserved).

schedules_status()

Get queue stats (pending, failed, posted today).

engagement

engagement_list(kind, since?)

Param Type Required Description
kind string yes mentions, comments, dms, connections, reactions
since string no ISO 8601 or duration (24h, 7d)

engagement_reply(id, body)

Reply to a mention/comment.

engagement_hide(id, reason?)

Hide a comment (e.g. spam).

engagement_accept_connection(id)

Accept a pending connection request.

engagement_decline_connection(id, reason?)

Decline.

engagement_send_connection(target, note?)

Send a connection request.

engagement_like(post_id)

Like a post.

engagement_follow(author_id)

Follow an author.

analytics

analytics_summary(days?)

Overall KPIs for last N days (default 30).

analytics_posts(format?)

List posts with engagement metrics. Format: json or csv.

analytics_best_times()

Returns a heatmap of best posting times.

analytics_engagement_trend(days?)

Daily engagement counts.

analytics_ab_tests()

Active and completed A/B test results.

jobs

jobs_cv_upload(file_path)

Upload CV from local path.

jobs_cv_get()

Get current CV metadata.

jobs_profile_get()

Get profile (skills, target roles, etc).

jobs_profile_update(...)

Update profile fields.

jobs_search(query, location?, filters?)

Search jobs with match scoring.

jobs_apply(job_id, cover_letter_override?)

Apply to a job.

jobs_tracker_list(status?)

List applications.

jobs_tracker_get(application_id)

Get single application.

jobs_tracker_delete(application_id)

Delete (withdraws locally — LinkedIn side needs manual withdraw).

jobs_cover_letter_preview(job_id)

Preview generated cover letter without applying.

jobs_settings_get() / jobs_settings_update(...)

Module settings.

jobs_wizard_questions() / jobs_wizard_submit(answers)

Interactive profile setup wizard.

safety

safety_status()

Current caps + usage today.

safety_test(action_type, account?)

Test if a hypothetical action would be blocked.

safety_history(limit?)

Recent gate decisions (block/allow).

accounts

accounts_list()

List all accounts.

accounts_add(name, cookies?)

Add account (cookies optional — triggers browser login if omitted).

accounts_activate(name)

Switch default account.

accounts_pause(name) / accounts_resume(name)

Pause/resume automations for an account.

accounts_remove(name)

Remove account.

templates

templates_list()

templates_create(name, body, variables?)

templates_update(id, ...)

templates_delete(id)

webhooks

webhooks_list() / webhooks_create(url, events?) / webhooks_delete(id)

Inbound webhook subscriptions.

feed-listener

feed_listen_start(topics?, accounts?)

Start listening for posts matching topics on given accounts.

feed_listen_stop()

Stop the listener.

feed_listen_status()

Listener status.

Calling tools from Claude Desktop

When you ask Claude "what tools do you have?", you'll see all 54 tools listed by name (e.g. drafts_list, schedules_create).

Example prompts:

  • "Show me all my drafts"
  • "Schedule draft abc for tomorrow at 9am"
  • "Search for senior Python jobs in Remote"
  • "Apply to job 123 with auto cover letter"

Tool safety

Every write tool runs through the safety gate before executing. The gate:

  1. Checks daily caps
  2. Checks velocity windows
  3. Checks content patterns
  4. Returns a clear reason if blocked

Agents should always check the return value:

result = drafts_publish(id="abc")
if not result["ok"]:
    print(f"Blocked: {result['reason']}")
else:
    print(f"Posted: {result['post_id']}")