Generect

Name: Generect
Author: generect

by generectversion 0.13.1i★ –iComputer or cloud

Registry namecom.generect/generect-mcp

Install

Overview

Description from the maker (original English)

B2B lead and company data for AI agents: free search, pay only for emails, phones, profiles.

PopNx MCP’s three pillars

These three are never merged into one score: opinions, measurements and popularity are different things.

User voiceiNo reviews yetReviews open together with accounts in a later step
Our basic checksi3 of 3 passedChecked from public information; code not scanned yet
UsageiNot measured yet★ –

What you can do with it

We have not written a plain-language summary for this one yet. Below are the facts we read from the registry.

Connection: Computer or cloud
Transport: stdio, Streamable HTTP
Category: Search & AI memory
You need to fill in: GENERECT_API_KEY

Install

Pick the AI app you use, then copy the settings.

Before you install

Basic checks: 3 of 3 passed
Runs on the maker’s server: what you ask it goes through their server.
You fill in yourself: GENERECT_API_KEY, GENERECT_API_BASE

Values marked secret are keys to your account. Never share them or paste them into a chat.

You need

Runs in the cloudNothing to install; it connects over the internet
npmNode.js installed (for the npx command)

Which app do you use?

ClaudeClaude CodeCursorVS CodeChatGPT

Pick your app above. We remember it, so next time the button says “Install in …”.

Works in Claude on the web, desktop and mobile:

Open Settings → Connectors
Press Add custom connector
Paste the address below and press Add
If it asks you to sign in, sign in with the maker

https://mcp.generect.com/mcp

Or run it on your computer

Open Claude Desktop → Settings → Developer → Edit Config, and paste this into claude_desktop_config.json

{
  "mcpServers": {
    "generect": {
      "command": "npx",
      "args": [
        "-y",
        "generect-ultimate-mcp"
      ],
      "env": {
        "GENERECT_API_KEY": "your-value",
        "GENERECT_API_BASE": "your-value"
      }
    }
  }
}

Run this in your terminal

claude mcp add --transport http generect https://mcp.generect.com/mcp

Or run it on your computer

claude mcp add generect --env GENERECT_API_KEY=your-value --env GENERECT_API_BASE=your-value -- npx -y generect-ultimate-mcp

Fill in the empty values before running it.

Open in Cursor

Or copy the settings yourself

Paste into .cursor/mcp.json in your project, or ~/.cursor/mcp.json

{
  "mcpServers": {
    "generect": {
      "url": "https://mcp.generect.com/mcp"
    }
  }
}

Or run it on your computer

Open in Cursor

Or copy the settings yourself

Paste into .cursor/mcp.json in your project, or ~/.cursor/mcp.json

{
  "mcpServers": {
    "generect": {
      "command": "npx",
      "args": [
        "-y",
        "generect-ultimate-mcp"
      ],
      "env": {
        "GENERECT_API_KEY": "your-value",
        "GENERECT_API_BASE": "your-value"
      }
    }
  }
}

Your browser asks to open the app, then the app shows the settings and asks you to confirm. Key values are left empty for you to fill in.

Open in VS Code

Or copy the settings yourself

Paste into .vscode/mcp.json in your project

{
  "servers": {
    "generect": {
      "type": "http",
      "url": "https://mcp.generect.com/mcp"
    }
  }
}

Or run it on your computer

Open in VS Code

Or copy the settings yourself

Paste into .vscode/mcp.json in your project

{
  "servers": {
    "generect": {
      "type": "stdio",
      "command": "npx",
      "args": [
        "-y",
        "generect-ultimate-mcp"
      ],
      "env": {
        "GENERECT_API_KEY": "your-value",
        "GENERECT_API_BASE": "your-value"
      }
    }
  }
}

Your browser asks to open the app, then the app shows the settings and asks you to confirm. Key values are left empty for you to fill in.

ChatGPT connects only to servers on the internet:

Open ChatGPT on the web → Settings → Connectors (Apps)
Press Create or Add (some plans need Developer mode under Advanced first)
Paste the address below, give it a name and save
If it asks you to sign in, sign in with the maker

https://mcp.generect.com/mcp

Menu names can differ slightly by plan and over time.

Your choice stays on this device in a cookie; no account needed.

Values you fill in

GENERECT_API_KEY secret required env
Your Generect API key from app.generect.com/settings/api (a test_ key returns fictional data for free).
GENERECT_API_BASE env
API base URL.

These settings are generated from the maker’s registry entry. If the README says otherwise, follow the README.

What it can do

The server asks you to sign in before it lists its tools.

Basic checksi

We check information anyone can see; we have not read the code. Checks that do not apply are left out of the count. · Checked Nov 7, 2026

✓ Pass
Maker matches the repo
The registry name was verified against the domain generect.com (the registry checks domain ownership)
… Not checked yet
Still maintained
We have not read this repo from GitHub yet
… Not checked yet
Has a licence
We have not read this repo from GitHub yet
✓ Pass
Endpoint responds
Responded in 186 ms (HTTP 401)
✓ Pass
Sign-in with OAuth
Declares OAuth sign-in, so your AI app can take you to log in
… Not checked yet
No hidden instructions in tool descriptions
Not checked yet; we read the tool list when we check the endpoint

Compared with others in Search & AI memoryi

More stars than 0% of the other 7256 servers in this category
Published to the registry more recently than 87% of the other 7256 servers in this category
Basic checks equal to or better than 100% of the other 7256 servers in this category

Compared with every active server in this category in the registry. Stars count only when the publisher owns the repo.

Common questions

Is Generect safe?

It passed 3 of 3 applicable basic checks. We have not read the code. Before adding a key or token, see what access the server asks for and use a key with only the permissions you need.

What keys or codes does it need?

You need to fill in: GENERECT_API_KEY

Does it run on my computer or in the cloud?

Either way works: install it on your computer or connect to the cloud version.

Is it still maintained?

The GitHub repo last changed –, and the latest version (0.13.1) reached the registry 5 days ago.

Which apps can use it?

Apps that support MCP, such as Claude Desktop, Claude Code, Cursor and VS Code. It connects by URL, so apps that accept remote MCP servers work too, such as ChatGPT in developer mode.

What can I use instead?

In the same category: Context7, Codebase Memory, Exa

Alternatives

Servers in the same category from other makers, sorted by stars.

Reading a card:★ GitHub starsiThree pillars: reviews · checks · usageiUpdated = latest version published to the registryi

Context7

by upstash

Feeds AI the latest docs for libraries and frameworks before it answers, so code it writes does not use outdated, removed functions.

Computer or cloud★ 64,224MITUpdated today

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Codebase Memory

by DeusData

Codebase knowledge graph for AI agents — 162 languages, sub-ms queries, 99% fewer tokens.

Runs on your computer★ 48,148MITUpdated 20 days ago

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Exa

by exa-labs

Connect AI agents to Exa for web search, content fetching, and multi-step research.

Runs in the cloud★ 5,213MITUpdated last month

Install

README from the maker

Open the README

Copied from the maker’s repo as written. PopNx MCP has not reviewed or endorsed it. HTML, images and scripts are removed. Links lead off this site.

Generect MCP Server

B2B lead and company data for AI agents.

Search and audience sizing are free. You pay only for the emails, phones and full profiles you keep.

What it does

Give Claude, ChatGPT, Cursor or your own agent access to the Generect B2B database: people and companies by ICP, emails, phones and full profiles.

Free to explore. Counting an audience is free, and so is a database search with thin rows (who, role, where, which company), up to a daily row quota per account.
Pay for what you keep. Emails are billed only when a valid one is found, phones only when found, full profiles per record found.
No surprise bills. Every tool says up front whether it costs money, every response carries a cost block with the amount actually charged, and calls above a spend ceiling need an explicit confirmation. Tools that can charge are not marked read-only, so Claude and other hosts ask before running them (choose "Always allow" for the ones you trust); counting, balance and health run without asking.
Safe to try. A test key returns realistic fictional data at real speed and charges nothing.
Interactive in the chat. In Claude, ChatGPT and other hosts that support MCP Apps, results come back as cards you can act on: an audience card with prices, a lead table where you pick people and find their emails, company and profile cards, your balance.

Connect

Get an API key at app.generect.com/settings/api. Clients that support OAuth sign you in without one.

Remote server (recommended)

https://mcp.generect.com/mcp speaks streamable HTTP with OAuth 2.1, so most clients only need the URL. It serves MCP protocol revision 2026-07-28 (stateless, discovered via server/discover) and the 2025 revisions (2025-11-25, 2025-06-18) side by side, so any current client connects without settings.

Claude Code

claude mcp add --transport http generect https://mcp.generect.com/mcp

Claude.ai and Claude Desktop: Settings, Connectors, Add custom connector, then paste https://mcp.generect.com/mcp.

Cursor (.cursor/mcp.json) and other JSON-configured clients:

"mcpServers": { "generect": { "url": "https://mcp.generect.com/mcp" } } }

The first connection opens the Generect consent page in the browser. Approve it with the account you are already signed into, and the client receives its own token.

No OAuth in your client? Pass the key as a header, for example with mcp-remote:

"mcpServers": { "generect": { "command": "npx", "args": ["-y", "mcp-remote", "https://mcp.generect.com/mcp", "--header", "Authorization: Bearer YOUR_API_KEY"] } } }

Local server (stdio)

"mcpServers": { "generect": { "command": "npx", "args": ["-y", "generect-ultimate-mcp@latest"], "env": { "GENERECT_API_KEY": "YOUR_API_KEY" } } } }

Requires Node 20 or newer. Optional: GENERECT_API_BASE (default https://api.generect.com) and GENERECT_TIMEOUT_MS. If Claude Desktop on macOS reports spawn npx ENOENT, set command to the absolute path of npx.

Test mode

Use a test_… key from app.generect.com/settings/api in any of the configs above. Every tool then answers with fictional data, shows what the real call would have cost and charges nothing. Results carry test_mode: true so an agent cannot mistake them for real people. See Test mode.

Interactive results (MCP Apps)

Hosts that support the MCP Apps extension (Claude on web, desktop and mobile, ChatGPT, VS Code, Goose and others) render these tools as interactive views inside the conversation. Other clients get the same text and structured results as before.

Tool	What you see
`count_leads`, `count_companies`	The audience size, your filters, what the next step costs at your prices, and a button to see the first 25
`search_leads`, `preview_leads`	The top people inline; open all of them as a table, filter, select, and find work emails right there. You confirm the maximum before anything is spent, a miss is free, and found emails go back to Claude so it can use them
`search_companies`	Company cards and a table, with a one-click ask for decision makers at them
`enrich_lead`, `get_lead_by_url`, `enrich_company`	A profile card with the experience timeline and a find-email button
`get_balance`	Balance, this month's spend and your per-operation prices
`generate_email`	Which emails were found and what it cost

The views follow the host's theme (light and dark), fonts and layout, and work on phones. Results from a test key are labelled as fictional.

Tools

Free

Tool	What it does
`count_leads`	How many people match an ICP, and what the next step costs at your rates. Start here.
`count_companies`	The same for companies.
`search_leads`	People matching an ICP. Free with the default thin rows (database mode, daily quota).
`search_companies`	Companies matching an ICP. Free with the default thin rows (database mode, daily quota).
`get_balance`	Balance, your real per-operation prices, and optionally spend by operation or by token.
`get_bulk_job`	Poll a bulk job (the work was billed at submit time).
`list_webhooks`, `create_webhook`, `update_webhook`, `delete_webhook`, `test_webhook`	Manage the webhook endpoints that receive bulk-job completion events.
`health`	Liveness and credential check against a free endpoint. Safe for monitors.

Billable

Tool	Billed
`search_leads`, `search_companies` with `detail: "full"`, in realtime mode and once the free quota is used up	per returned row
`preview_leads`	per returned row (`count_only: true` is free)
`resolve_profile`	per resolved profile, the cheapest paid call; an unresolvable link is free
`enrich_lead`, `get_lead_by_url`	per record found
`enrich_company`	per record found
`generate_email`	per valid email found
`validate_email`	per email submitted, whatever the verdict
`find_phone`	per phone found, the most expensive operation
`start_bulk_job`	per record, reserved when the job is submitted

Prices depend on your account tier: get_balance returns yours, and every response reports what was actually charged.

A budget-safe flow

count_leads (free)  →  search_leads, thin rows (free)  →  generate_email on the ids you keep (per valid email)

→ enrich_lead / find_phone only where needed

Thin and full rows

search_leads and search_companies take detail:

left out (default): thin rows while the free tier is available. Once it is not (quota spent, a custom-contract account), the search continues with full rows billed per row and says so in thin_unavailable.
"thin": free rows only. Never billed and never escalated to realtime; a spent quota returns a 429.
"full": the whole record, billed per row.

Thin lead rows carry id, name, job title, seniority, location and company (name, id, industry, country). Thin company rows carry id, name, industry, headcount range, HQ city and country, company type and founding year. Neither carries a LinkedIn URL, domain, contacts or history: generate_email takes the lead id directly, and enrich_lead / enrich_company return the full record.

Database and realtime

Search and enrich run against the Generect database (sub-second, free counts) or a live LinkedIn lookup (5 to 60 seconds, billed counts, every filter). Tools take mode:

auto (default) tries the database first and escalates only if the API says a filter you passed is not supported there. The escalation is reported and is refused above the spend ceiling.
database never escalates: an unsupported filter is an error, not a bigger bill.
realtime goes live directly. Counting live costs money, so count_* run it only when asked for explicitly.

Filter vocabularies

company_industries and seniorities accept unknown values silently and return zero results, which reads like "this audience does not exist". The server therefore checks values before sending anything: unknown industries, headcount buckets and company types are refused locally with the closest valid names, and mis-cased values are corrected. allow_unlisted_values: true overrides the check.

The full vocabularies are exposed as resources:

generect://vocabulary/industries

generect://vocabulary/seniorities generect://vocabulary/functions (realtime only) generect://vocabulary/company-types generect://vocabulary/headcounts generect://vocabulary/follower-ranges (realtime only) generect://account/pricing your per-operation prices generect://account/balance balance and month-to-date usage

Prompts

Workflow prompts appear as slash commands in clients that support them: size_an_audience, build_prospect_list, enrich_my_list and spend_report. Each one starts from the free step.

Spend ceiling

A row cap bounds results, not money. Any call whose worst case exceeds MCP_MAX_SPEND_PER_CALL (default $5) is refused with the exact figure and must be repeated with confirm_spend_usd set to at least that amount. start_bulk_job is checked before it submits, because a bulk job reserves its whole cost up front.

Agent skill

Tools let an agent call Generect; the skill teaches it the procedure above.

npx skills add generect/generect_mcp --skill generect-lead-workflows

See skills/README.md.

Documentation
Operating and self-hosting the server: logging, OAuth endpoints, security settings, deployment, Docker
Release process
Issues

If Generect saves you time, a star on this repository helps other people find it.

License

MIT

Generect

Overview

PopNx MCP’s three pillars

What you can do with it

Install

Before you install

Or run it on your computer

Or run it on your computer

Or run it on your computer

Or run it on your computer

Values you fill in

What it can do

Basic checksi

Maker matches the repo

Still maintained

Has a licence

Endpoint responds

Sign-in with OAuth

No hidden instructions in tool descriptions

Compared with others in Search & AI memoryi

Common questions

Alternatives

Context7

Codebase Memory

Exa

README from the maker

What it does

Connect

Remote server (recommended)

Local server (stdio)

Test mode

Interactive results (MCP Apps)

Tools

A budget-safe flow

Thin and full rows

Database and realtime

Filter vocabularies

Prompts

Spend ceiling

Agent skill

More

License