Prospecting
Apollo.io
Search Apollo organizations and people by firmographic or role, and read job postings as a hiring signal, from Claude or ChatGPT via Tulina's MCP server.
Official site: app.apollo.io
What it does
- Search organizations and people by firmographic and role criteria
- Read job postings as a hiring signal
Two different signals live in one connector: firmographic and role search for who to reach, and live job postings as a hiring signal for when to reach them. A company hiring for a role your product touches is often a stronger trigger than firmographic fit alone.
How do you connect Apollo to Claude and ChatGPT?
Through Tulina's MCP server, the same one that reaches every other tool in your stack. Ask for organizations and people matching a firmographic or role filter, or pull live job postings as a hiring signal, and get the answer in the same chat as the outreach it triggers, whether that chat is Claude or ChatGPT.
Why through Tulina
Most systems now publish their own way for a model to reach them, and that is a good thing — it is what Tulina connects to. The connection was never the hard part. Deciding who may use it, what it is allowed to return, and what the model knows before it asks: that is.
The keys stay in one place
Connect Apollo.io once. The credential is encrypted in a vault, never held in clear, and never pasted into a chat or a workflow file. A person uses their own key where they have one, their team's where they do not, the organisation's after that — so nobody is blocked and nobody is handed more access than they need. Revoke it once and everything running on it stops.
What leaves is filtered before it leaves
Roles decide who can reach Apollo.io at all. Beyond that, a policy on the connector itself decides what comes back: fields dropped, identifiers masked or hashed, people pseudonymised. The data is minimised at the source rather than after it has already reached a model.
Every call is on the record
Runs are logged for the organisation — what was called, by whom, when. That is what makes an automated action reviewable after the fact, and what a security review asks for first.
The run starts knowing your company
A direct connection gives a model access. It does not tell it how your company names things, which accounts matter, or what was decided last quarter. Tulina carries that across every tool, so the same request against Apollo.io returns something usable instead of something generic.
Processes that run on Apollo.io
Build a target list from a sentence
Describe the companies you want in one sentence, and get them sourced, scored on dated signals, enriched, deduplicated against your CRM, and staged as a campaign.
Source and qualify leads
A target company gets searched across LinkedIn, ranked against your ICP, and the qualified shortlist lands in your CRM with email and mobile filled in.