LinkedIn Sales Navigator MCP Server - install & status [2026]

01 · Install LinkedIn Sales Navigator

before you install - you'll need

The README does not document required environment variables for a basic install.

Claude Code

claude mcp add nick-choudhary-linkedin-sales-nav-mcp -- uvx linkedin-sales-nav-mcp

Claude Desktop / Cursor / VS Code - add to config

{
  "mcpServers": {
    "nick-choudhary-linkedin-sales-nav-mcp": {
      "command": "uvx",
      "args": [
        "linkedin-sales-nav-mcp"
      ]
    }
  }
}

Same JSON for Cursor. For VS Code, rename the top-level key from `mcpServers` to `servers`.

Using another client? Same JSON, different key

Claude Desktop · mcpServers

Cursor · mcpServers

VS Code · servers

Windsurf · mcpServers

Zed · context_servers

Cline · mcpServers

Roo Code · mcpServers

Continue · mcpServers

LibreChat · mcpServers

Gemini CLI · mcpServers

Codex CLI · mcp_servers

Full setup guides: every client.

02 · Evidence

Security posture

What to check before giving this server access to your agent - from the registry, GitHub, and our own probes. We don't score safety; we show what's verifiable.

runs as local process (stdio) - runs on your machine with your user's permissions

repo age created 2026-08-14 - young repo, little track record yet

license MIT - declared in the repository

pypi package linkedin-sales-nav-mcp - check the name against the project README before installing (PyPI has no namespace ownership)

registry namespace io.github.nick-choudhary is GitHub-verified and matches the repo owner

03 · What LinkedIn Sales Navigator can do

Prose above is summarized from the project's README and registry record - no invented capabilities.

What you can build

With this server connected, an agent can read one stored full profile. Local only, no LinkedIn call, read the inbox and mark leads who answered. Sends nothing, count by status and channel, plus remaining daily cap, and report whether the browser profile has a live Sales Navigator session (tells you if you need to re-run --login).

Capability map

Tools grouped from the project's README - what LinkedIn Sales Navigator lets an agent do.

read & search

4 tools - e.g. People/lead search from a Sales Navigator URL. Navigates + paginates in the browser, saves records to SQLite, returns a small progress summary.; Company/account search from a Sales Navigator URL. Same…

search_contacts · search_accounts · list_queries · get_results

Outreach

4 tools - e.g. Settle sends stuck in sending against LinkedIn itself.; Draft and send for several leads in one call via MCP sampling. Same guards; dry_run defaults true.; Leads eligible for a first message - Open…

reconcile_outreach · run_outreach_batch · next_outreach_batch · outreach_status

Lead

2 tools - e.g. Depth 3: full profiles for drafting (~15 KB/lead). Opt-in via ENABLE_PROFILE.; Read one stored full profile. Local only, no LinkedIn call.

fetch_lead_profiles · get_lead_profile

Check

2 tools - e.g. Read the inbox and mark leads who answered. Sends nothing.; Reports whether the browser profile has a live Sales Navigator session (tells you if you need to re-run --login).

check_replies · check_session_status

Enrich

1 tool - e.g. Add Open Profile / InMail status to a saved contact search. Costs one LinkedIn request per lead, so it is opt-in and resumable - see Open Profile status.

enrich_leads

Pipeline

1 tool - e.g. One funnel view: scraped → enriched → open → profiled → sent.

pipeline_status

run & execute

1 tool - e.g. Send ONE message. The only tool that writes to LinkedIn: off by default, dry_run=true by default.

send_message

Export

1 tool - e.g. Write a saved query's records to JSON and/or CSV under the output folder.

export_results

Limitations (from the README)

- Field mapping is best-effort. We capture LinkedIn's internal sales-api JSON, which is undocumented and changes over time. The normalizer (sales_nav_mcp/normalize.py) pulls the fields that have been stable. If one looks empty, you have two ways back to ground truth without re-scraping: the raw_json column on every row, or include_raw=true on a search, which writes the complete untouched API responses to / /raw/. Ext

04 · Who maintains LinkedIn Sales Navigator

LinkedIn Sales Navigator is maintained by nick-choudhary. It's the only MCP server we track from this author; the repo dates to Aug 2026.

05 · Facts

repository: github.com/nick-choudhary/linkedin-sales-nav-mcp
category: browser automation - ranked #166 of 255 actively-maintained browser automation servers as of 2026-09-18.
registry: io.github.nick-choudhary/linkedin-sales-nav-mcp (active, first published 2026-08-20)
packages: pypi:linkedin-sales-nav-mcp

06 · LinkedIn Sales Navigator FAQ

Is LinkedIn Sales Navigator still maintained?

Yes - as of 2026-09-18, its last commit was 2026-08-24. We re-verify nightly.

What can LinkedIn Sales Navigator do?

With this server connected, an agent can read one stored full profile. Local only, no LinkedIn call, read the inbox and mark leads who answered. Sends nothing, count by status and channel, plus remaining daily cap, and report whether the browser profile has a live Sales Navigator session (tells you if you need to re-run --login).

How do I install LinkedIn Sales Navigator?

Run `uvx linkedin-sales-nav-mcp`. The README does not document required environment variables for a basic install. You can also paste the ready-made client config above.

Does LinkedIn Sales Navigator run locally?

Yes - it's a stdio server: it runs on your machine (via uvx) with your user's permissions. Your data stays local unless the server itself calls external APIs.

07 · Alternatives to LinkedIn Sales Navigator

Alternatives to LinkedIn Sales Navigator

Maintained browser automation servers if LinkedIn Sales Navigator isn't the fit.

Pairs well with

Servers that cover what LinkedIn Sales Navigator doesn't - only shown when the pairing reason fits the companion.

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