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  3. Evaboot
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Health: ActiveRecent health check succeeded.Last checked 10/14/2026, 3:17:08 AM

Evaboot

InstallableWe know how to install it, but have not yet seen it complete a handshake. User RatingsBe the first to rate and review this MCP server!
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linkedinsales-navigatorlead-generationemail-verificationmcp

Build Sales Navigator searches, export leads, and find or verify professional emails through a hosted MCP endpoint.

Quick Install

Automated & IDE Setup

Copy the AI prompt to install this server into Claude Code, Cursor, or another agent β€” or use 1-click editor setup below.

Add to CursorAdd to VS Code
Manual Client & Custom JSON ConfigExpand JSON β–Ύ

Client Config & Setup

Remote HTTP
Choose your client or environment
Target File:~/Library/Application Support/Claude/claude_desktop_config.json
claude_desktop_config.json
{
  "mcpServers": {
    "evaboot-2": {
      "url": "https://mcp.evaboot.com/mcp"
    }
  }
}

πŸ’‘ Paste the JSON block into your client's configuration file under mcpServers, then restart the application.

Install Tool Schemas (56) Directory Badge Claim listing Alternatives🌐 More in Social Media

Overview

Evaboot MCP server connects an MCP client to LinkedIn Sales Navigator for audience-based search, lead and account extraction, list management, and alerts. It also provides bulk and single-record professional email finding and verification, with OAuth or API-key authentication. Reach for it when an agent needs to turn targeting criteria into Sales Navigator results and prepare those records for downstream CRM, outreach, spreadsheet, or webhook workflows.

Use cases

β€’Build Sales Navigator searches from plain-language audience criteria
β€’Export lead or account results for downstream workflows
β€’Find professional emails for individual or bulk lead records
β€’Verify email addresses before outreach
β€’Push completed exports to connected destinations

Key features

β€’Natural-language Sales Navigator search construction
β€’Lead, account, profile, and list exports
β€’Single and bulk email finding
β€’Single and bulk email verification
β€’Sales Navigator list and recurring export management
β€’CRM, outreach, spreadsheet, and webhook destinations

Capabilities & Tool Schemas (56) ~891 tokensApproximate context cost of this server’s tool schemas (~4 chars/token), before any tool is called. Actual usage depends on your client and model.Self-reported Self-reportedParsed from the repository README, not verified against a live server β€” may be incomplete or out of date.

Inspect callable tools, capabilities, and parameters exposed to AI agents by Evaboot.

build_sn_search_from_prompt

Turn a natural-language audience into a Sales Navigator search URL.

get_account_based_search_job

Poll an account-based lead search started by `build_sn_search_from_prompt`.

search_sn_leads

Read one page of a Sales Navigator lead search.

search_sn_accounts

Read one page of a Sales Navigator account search.

list_saved_searches

List your saved Sales Navigator searches.

save_search

Save a Sales Navigator search on your seat.

How Evaboot works

What Evaboot MCP server does

Evaboot MCP server exposes Evaboot’s hosted service through MCP. It works with LinkedIn Sales Navigator to build searches from natural-language audience descriptions, read lead or account results, manage saved searches and lists, read alerts, and export profiles or search results.

The service also supports professional email workflows. Agents can find an email for one person or for a batch, verify one or many addresses, and retrieve the status and results of asynchronous jobs. Sales Navigator exports and email jobs can be checked, listed, or cancelled where the relevant operation supports it.

How it works

The remote MCP endpoint is available at https://mcp.evaboot.com/mcp using Streamable HTTP. An MCP client sends tool calls to the hosted service rather than running a local Evaboot process. Long-running searches, exports, list creation tasks, email-finder jobs, and verification jobs expose separate status or result tools for polling.

A typical workflow starts with build_sn_search_from_prompt, followed by a lead or account search or an export. The resulting records can be placed in Sales Navigator lists, passed to email-finding or verification tools, or pushed to a connected destination. The available tools also cover recurring exports, integration targets, and write-back status.

Setup and configuration

Evaboot MCP server requires an Evaboot account and a LinkedIn account with Sales Navigator connected through the Evaboot Chrome extension. No local installation is required because the server is hosted by Evaboot.

Clients that support OAuth can use OAuth 2.1 with PKCE and dynamic client registration. Add the remote URL, sign in through the browser, and approve access. Clients without OAuth support can send an Evaboot API key as a bearer token; the key is available from the API page of the Evaboot dashboard.

The repository documents connections for Claude, Cursor, and VS Code. Evaboot also provides authentication endpoints for authorization, token exchange, and client registration.

Tools and capabilities

The documented tool groups cover:

  • Search construction, paginated lead and account searches, saved searches, and Sales Navigator alerts.
  • Profile, search, and list exports, export history, quota checks, and job cancellation.
  • Single and bulk email discovery, plus single and bulk email verification.
  • Lead and account list creation, updates, deletion, search-based list creation, and large-search splitting.
  • Daily, weekly, or monthly recurring exports and their lifecycle management.
  • Connected CRM, outreach, spreadsheet, and webhook destinations, including test, push, status, and retry operations.
  • Credential checks and updating the LinkedIn cookies used by the account.

Limitations and notes

The LinkedIn and Sales Navigator connection is a prerequisite for Sales Navigator operations. Export availability is subject to the account’s remaining daily quota and credit balance. Some operations are asynchronous, so callers need to poll the corresponding job or export status tool before using results.

The documentation repository is MIT-licensed, while the Evaboot hosted service is proprietary. Evaboot MCP server is therefore a hosted service rather than a self-contained server package to install and run locally.

Read the full README β†’View source on GitHub β†’

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Adoption & maintenance

Factual signals from GitHub, npm, and our automated checks β€” not a rating.

Last commit
12d ago
Most recent push to the default branch.
Tools exposed
56
Callable tools this server registers over MCP.

Reviews

No reviews yet β€” be the first to share how this listing worked for you.

Frequently Asked Questions about Evaboot

Evaboot is an MCP server that connects AI clients to LinkedIn Sales Navigator and Evaboot’s email services. Its main tools build and search Sales Navigator audiences, export leads or profiles, find professional emails, and verify email addresses individually or in bulk through a hosted remote endpoint.

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Technical Specs & Signals

Category🌐Social Media
More technical detailsExpand β–Ύ
TransportSSE (Remote)
LicenseMIT
ClientsClaude Desktop, Cursor, VS Code (GitHub Copilot)
Last updatedOct 14, 2026
Views0
Unique ViewsTotal visits recorded for this listing page on AllMCPs.
Installs0
Installs & Copy ActionsTotal times users copied install commands or configuration snippets for this server.
GitHub stars0
GitHub Star CountTotal stargazers on GitHub representing community popularity (0 stars).
Last commit12d ago
Last Repository CommitThe most recent commit or push recorded for this server's GitHub repository.Last commit on Oct 1, 2026
52Quality signal: Good Β· 52/100How this signal is calculated β–Ύ
Server availabilityNot measured

Not scored for repo-hosted servers β€” we can't reach the running server, only its GitHub page. Hosted MCP endpoints are health-checked live.

Verified ownership10/20
Documentation & tools25/30
Adoption & activity4/15
Community engagement0/10

A guidance signal from public completeness & health data β€” not a user rating. New listings start lower and rise as they add docs, get verified, and grow adoption. Signals we can't observe for a listing are skipped, not counted against it.

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