SeekOut MCP Candidate Actions: Contact, Export, and ATS
From contact retrieval to ATS pushes, SeekOut MCP lets you act on candidates directly in your AI chat — without switching tools or tabs.
Finding the right candidates is only half the job. SeekOut MCP lets you act on them without leaving the conversation. Once you've identified candidates you want to engage, you can retrieve contact info, draft outreach, export lists, push to your ATS, save to Recruit workspaces, and compare candidates side-by-side — all in plain English.
Available Actions at a Glance
| Action | What it does | Prerequisite |
|---|---|---|
| Get Contact Info | Retrieve verified emails and phone numbers | SeekOut credits required |
| Draft Outreach | Write personalized emails based on profile + role | None |
| Export to Spreadsheet | Export candidate lists to Excel or Google Sheets | None |
| Push to ATS | Send candidates to your ATS requisition | Connected ATS required |
| Save to Recruit | Create workspaces and add candidates | SeekOut Recruit access required |
| Compare & Shortlist | Rank candidates or compare side-by-side | None |
Get Contact Info
Retrieve verified email addresses and phone numbers for candidates directly from the conversation. Contact data is sourced through SeekOut's verification layer and billed against your organization's SeekOut credit balance.
Example prompts
Get the contact info for the top 3 candidates from this search.
Retrieve the email and phone number for Sarah Chen at Databricks.
Get verified emails for everyone on the shortlist.
Draft Outreach
Ask your AI assistant to write personalized outreach messages based on each candidate's profile and the role you're hiring for. The assistant reads the candidate's background — their experience, skills, and current role — and crafts a message that speaks to them specifically, not a generic template.
You can request a single message or ask for drafts for an entire shortlist at once.
Example prompts
Draft a personalized outreach email to the top candidate for our Staff Engineer role.
Write outreach messages for all 5 candidates on the shortlist. Keep each one under 100 words.
Rewrite this draft to emphasize our remote-first culture and the impact of the role.
Export to Spreadsheet
Export your candidate results to Excel or Google Sheets. The assistant compiles the relevant profile data — name, title, company, location, skills, and any evaluation notes — into a clean, shareable file.
Example prompts
Export these candidates to a spreadsheet with their names, titles, companies, and locations.
Create an Excel file of the full search results including skills and seniority.
Export the shortlist to Google Sheets and include the fit scores.
Push to ATS
Send candidates directly to an open requisition in your connected ATS without opening a separate tab or tool. SeekOut MCP supports Greenhouse, Lever, and other integrated ATS platforms. Your candidate's profile data maps to the appropriate fields in your ATS automatically.
Example prompts
Push the top 3 candidates to the Senior Product Designer req in Greenhouse.
Add these candidates to the open DevOps Engineer position in Lever.
Send the shortlisted candidates to our ATS and tag them as sourced from SeekOut MCP.
Save to Recruit Workspaces
Create new SeekOut Recruit workspaces, populate them with candidates from your search, and share them with your hiring team — all from the conversation. This keeps your sourcing organized and makes it easy to hand off a curated list to hiring managers or coordinators.
Example prompts
Save the top candidates to a new Recruit workspace called "Head of Growth - Q3 Search."
Create a Recruit workspace with these 8 candidates and share it with the hiring panel.
Add the shortlist to our existing Recruit workspace for the VP of Engineering role.
Compare & Shortlist
Ask the assistant to rank candidates, compare two or more profiles side-by-side, or build a shortlist with supporting rationale for hiring manager review. The assistant evaluates candidates against the role criteria you've defined and presents results in a clear, structured format.
Example prompts
Build a shortlist of the top 5 candidates from today's search and explain why each one made the cut.
Compare these three candidates side-by-side for our Head of Data Science role.
Rank everyone from the search by their fit for a player-coach engineering manager role.
Which of these candidates has the strongest combination of startup experience and ML depth?