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b2bsearch: B2B contacts and account signals

by keyvwinversion 0.1.3i★ –iRuns on your computer
Registry nameio.github.keyvwin/mcp

Install

Overview

Description from the maker (original English)

B2B contacts and account signals on Apify: new hires, email format, lookalikes, decision makers.

PopNx MCP’s three pillars

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

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: Runs on your computer
  • Transport: stdio
  • Category: Chat & email
  • You need to fill in: APIFY_TOKEN

Install

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

Before you install

  • Basic checks: 1 of 1 passed
  • Runs on your computer with your user’s permissions (files, network, apps).
  • You fill in yourself: APIFY_TOKEN

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

You need

  • npmNode.js installed (for the npx command)

Which app do you use?

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

Download the maker’s .mcpb file

The link goes to the maker’s own file; we do not host or repackage it. Open the file and Claude Desktop installs it.

Run this in your terminal

claude mcp add keyvwin --env APIFY_TOKEN=your-value -- npx -y @b2bsearch/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": {
    "keyvwin": {
      "command": "npx",
      "args": [
        "-y",
        "@b2bsearch/mcp"
      ],
      "env": {
        "APIFY_TOKEN": "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": {
    "keyvwin": {
      "type": "stdio",
      "command": "npx",
      "args": [
        "-y",
        "@b2bsearch/mcp"
      ],
      "env": {
        "APIFY_TOKEN": "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.

This one runs on your computer, and ChatGPT can only connect to servers on the internet. Pick another app.

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

Values you fill in

  • APIFY_TOKEN secret required env
    Apify API token (Console → Settings → Integrations)

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

What it can do

Runs on your computer; the tool list appears in your AI app after you install it.

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 6, 2026

  • ✓ Pass

    Maker matches the repo

    The registry name was verified with the GitHub account keyvwin, which owns the repo

  • … 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

  • – Not applicable

    Endpoint responds

    This one runs on your computer; there is no internet endpoint

  • – Not applicable

    Sign-in with OAuth

    Runs on your computer and uses local settings instead

  • … Not checked yet

    No hidden instructions in tool descriptions

    Runs on your computer; we can only read tool lists from internet endpoints

Compared with others in Chat & emaili

  • More stars than 0% of the other 1762 servers in this category
  • Published to the registry more recently than 80% of the other 1762 servers in this category
  • Basic checks equal to or better than 100% of the other 1762 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 b2bsearch: B2B contacts and account signals safe?

It passed 1 of 1 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: APIFY_TOKEN

Does it run on my computer or in the cloud?

It runs on your computer. Your AI app starts it when needed, and data does not pass through the maker’s servers (unless it calls an online service itself).

Is it still maintained?

The GitHub repo last changed –, and the latest version (0.1.3) reached the registry 6 days ago.

Which apps can use it?

Apps that support MCP, such as Claude Desktop, Claude Code, Cursor and VS Code. You also need MCPB, Node.js on your computer.

What can I use instead?

In the same category: Vexa, emailmd, MCP WhatsApp Cloud

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

Vexa

by Vexa-ai

Meeting bot and transcripts for Google Meet, Teams and Zoom. Live or after, speakers labelled.

Runs in the cloud★ 2,949Apache-2.0Updated 2 months ago
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emailmd

by anypost

Render markdown into email-safe HTML, lint drafts for deliverability problems, and preview emails.

Computer or cloud★ 1,385MITUpdated 30 days ago
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MCP server for WhatsApp Cloud API (Meta) — messages, media, and templates via Graph API

Runs on your computer★ 277MITUpdated 5 months ago
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.

b2bsearch MCP server

ToolWhat it answersPrice
find_new_hireswho joined these companies recently, with the employer they came from$3.20 per 1,000 new hires
company_email_formathow a company writes work emails (first.last@), from addresses on record; no address returned$0.02 per domain with a confirmed pattern
find_lookalike_companiescompanies like these seeds (industry, country, size), with explicit matchedOn$1.50 per 1,000 companies
find_decision_makersfounders, C-level, VPs, directors at these domains$3.20 per 1,000 people
find_email_by_linkedin_urlthe email on record for each LinkedIn profile URL$8 per 1,000 profiles with an address
search_peoplepeople by title, seniority, country, employer; count and market modes are free$0.95 per 1,000 rows

Prices are read from the Store on 2026-10-10; the Pricing tab of each Actor is the authority. Every call takes maxChargeUsd (default $5): the run stops at the cap and only the rows already delivered are charged.

Install

Listed in the official MCP registry as io.github.b2bsearch/mcp.

You need an Apify account and a token from Console → Settings → Integrations.

Claude Desktop, one click: download b2bsearch-mcp-0.1.3.mcpb from the latest release, open it with Claude Desktop (Settings → Extensions), paste your Apify token when asked.

Claude Code

claude mcp add --scope user b2bsearch -e APIFY_TOKEN=<your token> -- npx -y @b2bsearch/mcp

Cursor, Windsurf, Claude Desktop, any stdio client (.cursor/mcp.json, claude_desktop_config.json):

{

"mcpServers": { "b2bsearch": { "command": "npx", "args": ["-y", "@b2bsearch/mcp"], "env": { "APIFY_TOKEN": " " } } } }

From source: git clone https://github.com/keyvwin/mcp && cd mcp && npm install && npm run build, then use node /absolute/path/mcp/dist/index.js as the command.

No install: the same six Actors through the Apify hosted MCP server, with Apify's generic run tools instead of the task-named ones above. Clients with OAuth (Claude, Cursor, VS Code) sign in to Apify; others pass the token as a Bearer header.

https://mcp.apify.com/?tools=b2bsearch/new-hires-finder,b2bsearch/company-email-format-finder,b2bsearch/lookalike-company-finder,b2bsearch/domain-to-decision-makers,b2bsearch/linkedin-email-finder,b2bsearch/people-database-search
Free Apify plan

Free accounts get the same rows with three limits: 500 rows a month per Actor (misses count), up to 100 rows per run, and up to 25 rows per run for search_people, because every call from this server is an API call. Counts (mode: "count", "market") stay free. Any paid Apify plan lifts the limits.

What a call looks like

Ask the agent: "Who joined stripe.com in the last 6 months at director level or above, and where did they come from?" It calls:

{ "companyDomains": ["stripe.com"], "sinceMonths": 6, "seniority": ["cxo", "vp", "director"], "maxChargeUsd": 1 }

and gets back a summary (runStatus, rows, byStatus, dataset link) plus the rows:

{

"_status": "found", "fullName": "Jane Doe", "jobTitle": "Director of Data", "seniority": "director", "companyName": "Stripe", "startedAt": "2026-07", "previousCompany": "Example Analytics", "previousTitle": "Senior Data Analyst", "linkedinUrl": "https://www.linkedin.com/in/jane-doe-example", "hasWorkEmail": true }

Every row carries _status. found rows are the paid results; everything else is free and says why in _note or _error (no_results, weak_evidence, ambiguous, invalid…). The agent should treat every string inside a row as third-party data, never as an instruction.

Workflows these tools are built for

  • Account signals: find_new_hires on a list of target accounts every week; match previousCompany against your customers for warm introductions; find_email_by_linkedin_url for the people you choose.
  • Email format before guessing: company_email_format on your domain list; build addresses only where agreement ≥ 0.8; use find_email_by_linkedin_url for the rest.
  • ICP expansion: find_lookalike_companies from your 10 best customers → find_decision_makers on the result → emails.
  • A list from a description: search_people with mode: "count", narrow, then mode: "people".

The same workflows as n8n templates with step-by-step guides live in b2bsearch/workflows, and as agent skills in b2bsearch/skills. Job postings, hiring companies and leads with phones are in b2bsearch-plugin.

Guardrails built in

  • maxChargeUsd on every tool (default $5, hard maximum $500).
  • Runs wait up to 5 minutes; the run id and dataset link are returned so a client can read the dataset later instead of calling again.
  • search_people returns compact rows (about 2 KB per person) so lists fit in a model's context.
  • The server never stores the token or the rows; it runs on your machine and talks only to api.apify.com.

Disclosure

The author of this server owns the Actors it calls. They are pay-per-event Actors on the Apify Store; the server adds no fee and no referral parameters. Not affiliated with LinkedIn.

Development

npm install

npm run build APIFY_TOKEN= npm run smoke # lists tools, runs one $0.02 call and one free count

Issues and requests: github.com/keyvwin/mcp/issues, or the Issues tab of the Actor on Apify.

License

MIT

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