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Generect MCP

Search Generect for B2B leads and companies, then enrich selected records with profiles, verified emails, and phone numbers.

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Install Generect MCP

Pick your client, then add it in one click or paste the config.

STDIONode.js
~/Library/Application Support/Claude/claude_desktop_config.json
claude_desktop_config.json
{
  "mcpServers": {
    "generect-mcp": {
      "command": "npx",
      "args": [
        "-y",
        "generect-ultimate-mcp"
      ],
      "env": {
        "GENERECT_API_KEY": "YOUR_VALUE_HERE"
      }
    }
  }
}

Settings → Developer → Edit Config, merge this into mcpServers, then fully quit and reopen Claude Desktop.

Values are written into the snippet above so you can paste it as is. They never leave your browser.

Install not yet sandbox-tested— the server itself is confirmed live (we called its tools/list endpoint). The stdio install command is a separate, ongoing check.

Overview

generect-mcp connects AI clients to the Generect B2B database and Live API for ICP-based lead and company search. It supports free audience counts and thin database searches, then charges for selected enrichments such as full profiles, verified work emails, and phone numbers. Use it to qualify prospects interactively or run approved enrichment batches through asynchronous jobs and webhooks. Remote clients can connect over streamable HTTP with OAuth, while local clients can run the stdio package with an API key.

Use cases

  • Size an ICP audience before searching
  • Select prospects and find verified work emails
  • Enrich qualified companies with full profiles
  • Submit approved contact lists for bulk processing
  • Monitor asynchronous enrichment with webhooks

Key features

  • ICP-based lead and company search
  • Free audience counts and thin database rows
  • Lead, company, and LinkedIn profile enrichment
  • Work email verification and phone lookup
  • Asynchronous bulk jobs with webhooks
  • Account balance, pricing, and usage reporting

Tools21

What Generect MCP lets your agent do. Expand a tool for its parameters.

Verified live~16.1k tokens of context

Security & health

What it can reach and how reliably it runs — from our own checks, not the maintainer’s claims.

ActiveLast checked Today

Recent health check succeeded.

21/25 checks healthy over the last 92d

What it can do

From the 21 tools this server returned when we ran it; 21 declare their own safety hints.

Can delete or modify data · 3Handles credentials · 2Makes network requests · 21Read-only tools · 18
Network at startup3 connections
Files written at startupNone
Install scriptsNone
npm provenanceNot published
Package age429 days
Maintainers1

Observed 2026-10-30 in an isolated sandbox. A description of reach, not a security audit.

Supply-chain signal

No high-severity advisories surfaced by our automated scan.

Critical 0High 0Medium 0Low 0

Scanned 12d ago via OSV.dev · generect-ultimate-mcp (npm)

Adoption & maintenance

Factual signals from GitHub, npm, and our automated checks — not a rating.

GitHub stars1Stargazers on the source repository.
npm downloads1.3kPackage downloads in the last 30 days.
Last commit1d agoMost recent push to the default branch.
Tools exposed21Callable tools this server registers over MCP.
Directory activity1 viewsConfig copies, upvotes, and views on AllMCPs.

How Generect MCP works

What generect-mcp does

generect-mcp gives MCP-compatible agents access to Generect people and company data. Agents can size lead or company audiences by ICP, search the database, inspect a small preview, resolve obfuscated LinkedIn references, and retrieve full records for selected entities.

The server also supports contact discovery. generate_email finds and verifies work addresses, validate_email checks addresses already available, and find_phone looks for a phone number for a known person. Company and lead enrichment accepts Generect IDs and other identifiers such as LinkedIn URLs, domains, names, or work emails where supported.

Bulk processing handles up to 50 records per submission. Jobs return a job_id, can be checked with get_bulk_job, and can notify a registered webhook when processing completes.

How it works

A cost-conscious workflow starts with count_leads or count_companies, which reports audience size and the account's price for the next operation without spending credits. Thin database rows from search_leads and search_companies are free while the account's daily quota is available. These rows contain enough information to select people or companies but omit data such as email addresses, phone numbers, domains, and work history.

After selecting records, an agent can call the appropriate enrichment or contact tool by ID. Every response includes the amount actually charged, and get_balance reports wallet funds, grants, usage, and account-specific operation prices. Database and realtime modes are available: automatic mode can escalate when a filter is unsupported, database mode does not escalate, and realtime mode queries live data at a charge.

Setup and configuration

The hosted endpoint is https://mcp.generect.com/mcp. Clients with OAuth can connect to that URL and complete the Generect consent flow in a browser. A client without OAuth can pass an API key as an authorization header, including through mcp-remote.

For local stdio use, run generect-ultimate-mcp@latest with Node.js 20 or newer and set GENERECT_API_KEY. GENERECT_API_BASE can change the API endpoint, and GENERECT_TIMEOUT_MS can adjust request timeouts. A test_ API key returns fictional data, shows the hypothetical cost, and does not charge the account.

Tools and capabilities

  • Count and search people or companies by ICP.
  • Preview leads before paying for broader enrichment.
  • Resolve LinkedIn profile references and enrich known leads or companies.
  • Find, verify, and validate work email addresses.
  • Find phone numbers for qualified people.
  • Submit bulk jobs and monitor them by polling or webhooks.
  • Check health, balances, usage, and account-specific prices.

Limitations and notes

Paid operations use account-specific rates; listed examples are Tier 0 prices rather than guaranteed charges. Full searches, realtime queries, previews, enrichments, email operations, phone lookups, and bulk submissions can spend credits. Bulk-job cost is reserved when the job is submitted, even if it is not polled afterward.

Search ordering is not stable, so pagination should use previously returned IDs in exclude_ids rather than offsets. Thin rows intentionally omit several identifiers and contact fields. Company headcount ranges reflect the indexing snapshot and may lag current size. resolve_profile returns identity only, while full company or person details require enrichment. An API key is not required when the hosted OAuth connection is supported by the client.

Read the full README View source on GitHub

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Frequently Asked Questions about Generect MCP

generect-mcp is an MCP server that connects AI clients to Generect's B2B people and company database and Live API. Its main tools count and search ICP audiences, enrich leads and companies, resolve LinkedIn profiles, find or validate work emails, find phones, and process approved records in bulk.

Install it locally by configuring an MCP client to run `npx -y generect-ultimate-mcp@latest` with Node.js 20 or newer and `GENERECT_API_KEY`. Alternatively, connect to `https://mcp.generect.com/mcp` using OAuth or pass an API key through an authorization header.

Yes, generect-mcp works with Cursor through its MCP JSON configuration. Add a server entry using the hosted URL, or configure the local `npx` command and `GENERECT_API_KEY` environment variable.

Start with `count_leads` or `count_companies`, then use thin searches to choose records before paid enrichment. `get_balance` shows account prices and available funds, responses report actual charges, and paid calls above a spend ceiling require explicit confirmation.

Yes, use a `test_` API key to receive fictional data at no charge. Responses are marked with `test_mode: true`, and the tools show what real calls would have cost.

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