Enrichment & AI tools in MCP

This guide shows how to run data enrichment on the prospects in your lists through your AI tool with Snov.io MCP. You check the cost, test a run, enrich the whole list, and save the results to columns.

What you can enrich
Enrich a list through MCP
Where to find the results
Next steps

Before you start. To enrich prospects through MCP, make sure you have:

1. Snov.io connected to your AI tool. Follow this guide to connect it.

2. A prospect list that you own. Only the list owner can run enrichment.

3. Enrichment tokens. Check your balance in Billing or ask the assistant. Read this guide to learn how tokens work.

4. Starting data for each prospect. A LinkedIn URL works best. A full name with a company name or domain also works.

What you can enrich

Describe the data you need in plain words. The assistant picks the matching enrichment tool in Snov.io.

• Emails and phone numbers. Find contact details for the prospects in your list
• LinkedIn profile details. Pull the full profile, plus publications, patents, honors and awards, recommendations, social activity, and similar profiles
• Company details. Pull industry, size, location, description, specialities, funding, and similar companies
• Web research. Ask your own question about each prospect and save the answer to a column. This is the Fill out from web tool, covered in this guide
• Data cleanup. Fix or reformat values with a prompt, for example write locations as City, Country. This is the Clean and edit tool, covered in this guide

Each enrichment saves its results in columns of your list, the same way as enrichment in the app. To see these enrichments combined into complete workflows, read this guide.

Enrich a list through MCP

The steps below show the recommended order of prompts for enriching lists with your AI tool via MCP.

Check the price and your token balance

Before a paid run, ask what the enrichment costs and how many tokens you have.

Fill out from web charges tokens for each researched prospect, even if no public data is found.

Test the run on a few prospects

Enrichment has no preview, so run it on three to five prospects first and review the results.

Run the enrichment for the whole list

If the test results look right, ask for the same enrichment on all prospects in the list. The run continues in the background.

Prospects that already have a result in the column are skipped, so repeating a run does not charge them twice.

Check the progress

Only one AI enrichment can run on a list at a time, so wait for the current run to finish before you start the next one.

Review the results

Ask for the results of a few prospects, or for a summary across the list. Prospects with no usable answer stay empty in the column.

Extract the values you need into separate columns

LinkedIn profile and company enrichments save many values in one bulk column. This step extracts data from that column into a single column, such as the current job title, company name, or industry. Extracting values does not spend tokens. Read this guide to learn more about prospect data in Snov.io.

Then use the new columns as variables in campaign emails and LinkedIn messages. Read this guide to see how.

Where to find the results

Open your list in Prospects. The new enriched columns appear in your list on the right.

Next steps

• Combine these enrichments into complete workflows, such as finding contact details or researching companies, in this guide
• Run the same enrichments in the app with the Enrich & AI tools menu, and compare every enrichment action and its cost in this guide