Leadbay MCP server

Leadbay MCP Leadbay MCP connects your AI assistant to your Leadbay account, so you can work your leads by simply asking. Pull leads, qualify them, draft outreach, and log activity — in plain language. Your assistant acts on your real Leadbay data, with your permissions, just as you would in the app. Everything is personalized — nothing to configure. Leadbay runs advanced AI on your website and market data to source and score leads against your target profile, so outreach becomes meaningful connection instead of senseless spamming. Tell your assistant which leads to prospect, connect your channels, and it sources contacts from Leadbay and handles outreach on your behalf. Enjoy the outreach you no longer have to do.

MCP stands for Model Context Protocol — an open standard that lets AI assistants like Claude securely connect to external tools and data. This server is open source and lives at github.com/leadbay/mcp.

How Leadbay thinks (mental model for your agent)

• Inbox, not a database. Each day your user logs back in, a fresh batch of leads is delivered. Batch size is paced by how many leads the user has actually acted on recently — some workflows produce a big stream of smaller prospects, others a narrow stream of bigger ones. Pulling more won't produce more; acting on leads does.
• Two scoring layers. Every lead ships with a basic score (firmographic — already decent, usually correlates with AI). Roughly the top 10 of each batch are also AI-qualified (targeted web research + qualification questions → aiagentleadscore). Leads below the top 10 aren't worse — the system is saving resources. The agent can request deeper qualification (leadbaybulkqualifyleads) or contact enrichment (leadbayenrichtitles) on any lead that looks worth it.
• Daily rhythm. The agent works best as a daily check-in: pull fresh leads, skim the auto-qualified top, deepen 1-3 promising ones, propose outreach, then log what actually got sent via leadbayreportoutreach. If your host supports scheduling, set up a daily run.

For users

Get Leadbay MCP running inside your AI assistant in a couple of minutes. No coding required.

New to Leadbay? The friendly, screenshot-driven walkthrough — what a lens is, how scoring works, and the full MCP setup for every assistant — lives in the Leadbay user guide. This README is the technical companion.

No Leadbay account yet? Create one here first — you'll need it to sign in during setup.

Connect on the web (no install)

If you use Claude on the web, Claude Desktop, or ChatGPT, the fastest path is a custom connector — no terminal, no tokens to copy. Add one URL and sign in with your browser:

• Name: Leadbay
• URL: https://mcp.leadbay.app/mcp — one URL for every region (/fr/mcp remains a compatibility alias)
• On ChatGPT, use https://mcp.leadbay.app/chatgpt/mcp instead. Same server, same sign-in, same leads — but the assistant cannot generate a top-up link or open your billing page there, because the OpenAI app directory does not allow an app to sell credits. Buy credits or change your plan in your Leadbay account instead.

In Claude: Settings → Connectors → + → Add custom connector, paste the URL, then open the connector and Connect. Sign in with Leadbay, click Approve, and you're linked. The server handles OAuth in-app; updates are automatic — you never touch a config file.

Install in Claude Desktop (one-click bundle)

Prefer a bundled desktop extension? Grab the one-click file.

1. Download the extension

Shortened. The full README is on GitHub.