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Using SeekOut MCP

SeekOut MCP Built-in Workflows for AI-Assisted Recruiting

SeekOut MCP ships with 20 built-in workflows that guide your AI assistant through structured recruiting tasks — no prompt engineering required.

SeekOut MCP ships with 20 built-in workflows that turn a simple, plain-English request into a structured, multi-step recruiting task. Instead of crafting complex prompts or figuring out the right sequence of searches and filters, you just describe what you need. The assistant automatically loads the right workflow, follows the prescribed steps, and delivers an actionable result.

How Workflows Work

Each workflow is a set of instructions baked into the server that the AI assistant follows automatically. When you send a message, the assistant matches your intent to the most relevant workflow — then executes it: building boolean searches, resolving company and skill entities, applying filters, evaluating candidates, and taking action in the right order.

You never need to name a workflow or know it exists. Just describe your goal.

Search & Discovery

Turn a plain-English role description into a fully executed talent search. These workflows handle the entire sourcing loop: building boolean queries, resolving entities, applying facet filters, and verifying that returned candidates actually match your criteria.

Find people matching a natural language query. The primary workflow for most interactions — decomposes the query into title, specialty, location, industry, and seniority; resolves entities; builds a boolean search; then verifies every candidate before presenting results.

Find senior product managers at fintech companies in NYC with 5+ years of experience.

Find Similar

Find more people like a specific candidate by reverse-engineering their profile into search criteria.

Find people similar to our VP of Product — same background but from a fintech company.

Talent Landscape

Discover and evaluate talent across all verticals: public profiles, GitHub, academic, healthcare, nursing, and your ATS pipeline in a single search.

Show me the full talent landscape for ML researchers in Boston — public, academic, and GitHub.

Talent Scouting Report

In-depth talent discovery with cross-vertical research. Identifies rising stars and top talent in niche domains.

Build a scouting report on the top emerging robotics researchers globally.

ATS Pipeline

Persona-aware playbook for reviewing your ATS pipeline. Routes by recruiter / hiring-manager / RecOps intent and uses one-shot pipeline summaries for fast triage.

Search our ATS for anyone who's applied for a data engineering role in the past 18 months.

Onboarding

Get-started guide for first-time or unsure users. Loads when someone asks "what can you do" or sends a vague hire-related prompt with no role title or skills yet.

What can you help me with?

Vertical Playbooks

Per-vertical guides that tune searches to the specific data shape, vocabulary, and filter taxonomy of each specialized talent index.

Per-vertical playbook for the GitHub index. Picks expertise levels that don't return six-figure noise pools, gives a relaxation ladder, and lists the evidence fields the response must cite.

Find software engineers in Seattle who contribute to open-source Rust projects.

Translates recruiter intent into the right academic filter shape, navigates the categories / sub_categories / tags taxonomy, and provides a zero-result relaxation ladder.

Find AI researchers with 50+ citations on transformer architectures.

Per-vertical playbook for the Healthcare index. Picks the right specialty / sub-specialty granularity, gates hospital-affiliation filters behind canonical name resolution, and preserves city + license state when stated.

Find cardiologists affiliated with top academic medical centers in the Northeast.

Per-vertical playbook for the Nursing index. Translates recruiter intent into nurse_type / license_state / specialty filters and documents the LPN/LVN/RN/NP/APRN/CNS alias map.

Find ICU nurses with active licenses in Illinois.

Analysis & Intelligence

Go beyond finding candidates to understanding talent markets — compare pools, map competitive teams, and gather market intelligence for smarter hiring decisions.

Talent Market Analysis

Compare candidate pools across locations, companies, or skill sets for headcount planning and location strategy.

How many data scientists are in NYC vs. Austin vs. Denver?

Competitive Intelligence

Map talent at specific companies: team composition, skills distribution, title hierarchy, and alumni flow.

Map the engineering team at Stripe — who are the key people and what's the team structure?

Evaluation & Hiring

Move from a pool of candidates to a hiring decision. Assess fit, build ranked shortlists, run structured intake, and recalibrate based on feedback.

Candidate Evaluation

Assess a candidate's fit against a role: skills match, experience trajectory, title alignment, education, and location.

Assess this person's fit for our VP of Finance role.

Shortlist

Build a ranked candidate slate ready for hiring manager review with structured evaluation criteria.

Build a shortlist of the top 5 candidates from today's search and explain the ranking.

Intake

Turn a job description into a search strategy. Structured intake interview to define requirements, anchors, and the right vertical for the search.

Run an intake with me for the Senior Backend Engineer role — ask me the right questions.

Calibrate

Refine search criteria iteratively based on hiring manager feedback on specific candidates.

The last batch was too junior. Recalibrate the search based on my feedback.

Action & Export

Take action on your candidates without leaving the conversation — draft outreach, retrieve contacts, export results, and push to your ATS.

Outreach

Draft personalized outreach messages across channels: InMail, email, and call scripts, grounded in the candidate's profile and the role.

Draft personalized outreach emails for the top 3 candidates.

Contact Retrieval

Retrieve verified email addresses and phone numbers for candidates.

Get verified emails and phone numbers for the shortlisted candidates.

Profile Export

Export candidate profiles to Excel, Google Sheets, or push directly to your ATS.

Export these candidates to a spreadsheet with their key details.

Workspace Management

Create and manage SeekOut Recruit workspaces directly from the conversation. Add candidates to existing workspaces or create new ones — everything syncs with Recruit.

Save the top candidates to a new Recruit workspace and share it with the hiring panel.
You don't need to memorize workflow names or know which one applies to your task. Just describe what you want in plain English — the assistant figures out the rest. "Help me find and reach out to ML engineers in Chicago" is all you need to kick off a search, build a shortlist, and draft outreach.
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