Table of Contents

Table of contents

• What is MCP?  
• How SeekOut MCP changes the way your team works  
• Five data sources, one conversation  
• Designed for how recruiting teams already operate  
• Go further: Build agents and automated workflows  
• Enterprise-ready from day one  
• Already a SeekOut Recruit customer? You’re ready right now.  
• The first sourcing platform in your AI assistant  
• Frequently asked questions about SeekOut MCP  

Most recruiting teams already rely on an AI assistant in some part of their workflow. Tools like ChatGPT, Claude, and Microsoft 365 Copilot are part of how people write outreach, summarize notes, and think through hiring decisions. 

These tools are strong at handling language and reasoning tasks, so they’ve become a natural place to start work. But most recruiting data still lives in separate systems like talent platforms, ATS tools, and internal databases. 

That’s why we’re introducing a new way to connect your AI assistant directly to SeekOut’s talent platform. 

With that connection in place, you can move work forward without leaving the conversation. As you interact, the AI gets more useful. It helps you assess results, suggests refinements, and can run updated searches on your behalf, while keeping you in control at every step. 

You can start simply, using natural language to describe what you’re looking for. From there, you can go further by building agents and skills within your AI assistant to automate parts of your workflow, based on how your team prefers to operate. 

We call this SeekOut MCP. 

What is MCP? 

MCP stands for Model Context Protocol. It’s an open standard that allows AI assistants to connect to external systems. Think of MCP as a universal adapter between the AI tools your team already uses and the specialized platforms that hold the data they need. 

On their own, AI assistants are effective at reasoning and language tasks. They can help you draft, summarize, and analyze. But they don’t have access to your recruiting tools or data unless those systems are connected. 

SeekOut MCP gives your AI assistant two things it didn’t have before: access to SeekOut’s 1B+ external talent index, and a direct line into your own ATS data. Both show up in the same conversation, ranked together, searched in plain language.  

Bonus: SeekOut is now searchable in any language the LLM supports! 

How SeekOut MCP changes the way your team works 

The impact of SeekOut MCP shows up in the steps your team already takes each day. The difference is how those steps connect, and how much context you have at each point. 

Search without building queries 

With SeekOut MCP, you can describe the type of candidate you’re looking for instead of constructing and refining search strings. 

For example, you might ask for ICU nurses in Chicago with Magnet hospital experience, or senior data engineers in Dallas with Spark expertise.  

Your AI assistant selects the appropriate data sources, runs the search across SeekOut’s index, and returns ranked candidates with context around how each one matches. 

Understand the market before setting expectations 

You can also use the same interaction to explore the talent market before a role is finalized. 

If you prompt the AI to give you a talent analysis for VP of Engineering in Denver with 15 or more years of experience, the response can include estimated pool size, where that talent is concentrated, and which requirements may be narrowing the field. It also shows what changes would expand the pool.

This allows you to bring data into intake conversations earlier, rather than working through those questions over time. 

Work across your pipeline and external talent together 

Instead of reviewing past applicants and external candidates separately, SeekOut MCP allows you to look at both in one step. 

For example, you might identify candidates already in your ATS who would be a good fit for a Senior Software Engineer role with expertise in React, then search for external matches and pull contact information for the most relevant profiles. Both sets of candidates are returned together, ranked and ready for review.

Compare talent markets directly 

You can also compare hiring markets without switching tools or compiling data manually. 

A request to compare senior machine learning engineering talent across Seattle, London, and Bangalore can return a structured view of pool size, seniority mix, and top employers. This makes it easier to align with hiring managers before requirements are finalized. 

Move from search to outreach in one workflow 

As you narrow your focus, the same conversation can carry through to next steps. 

You can draft personalized outreach, review candidate summaries, and move selected candidates into your ATS without copying information between systems. The workflow stays continuous, from initial search through outreach. 

Five data sources, one conversation 

Every query your AI runs can pull from all of SeekOut’s talent indexes at once: 

• Public profiles: Over 1 billion candidate profiles with work history, skills, education, seniority, and location. 

• GitHub developers: Over 40 million profiles ranked by contributions, languages, repos, and open-source activity. 

• Academic and expert: Over 97 million researchers with h-index, citations, papers, patents, and institutional affiliations. 

• Healthcare and nursing: Physicians with NPI numbers and specialties, as well as nurses with license type and credentials. 

• ATS pipeline: Your existing applicants searchable by stage, history, and priority. 

Your AI assistant picks the right source based on your query. You just describe what you need. 

Designed for how recruiting teams already operate 

We designed SeekOut MCP around the way modern TA teams operate, versus the way tools have historically forced them to work. 

For sourcers: 

It eliminates the grind of manual search iteration. The AI reviews results, explains what it found, and refines the search automatically. You stay in control, but you don’t have to do all the heavy lifting. 

For full-cycle recruiters:  

It lowers the activation energy to use SeekOut. Instead of context-switching to a separate UI, you start from the AI assistant you’re already in multiple times a day. SeekOut fits into your workflow instead of competing with it. The AI handles the iteration and reasoning, so you can get to a strong slate without being a sourcing expert. 

For TA leaders:  

It means showing up to intake with pipeline already built and market data already in hand. The requirements debates that cost weeks happen because no one had real data at the start of the req. Now you do. 

For talent analysts: 

It brings real market context into your workflow and lets the AI interrogate a talent pool the way an analyst would. You can explore why supply is constrained, identify adjacent skills, and see where the right candidates are concentrated. From there, it turns that reasoning into a structured insight memo or presentation, all within a single conversation. 

Go further: Build agents and automated workflows 

SeekOut MCP is the foundation for whatever recruiting automation your team wants to build. Because it works through your AI assistant’s existing capabilities, you can create repeatable workflows and agents that run on real talent data. 

Teams are already building things like: 

• A new-req auto-sourcer that generates a first slate the moment a req opens. 

• A pipeline health monitor that catches stalled reqs before anyone notices they’re dying. 

• A market calibration agent that sends hiring managers a talent market brief before every intake call. 

The ceiling is set by what you can imagine. The building blocks, including a 1B+ index, your live ATS, and SeekOut’s intelligence reasoning about every result, are already connected. 

Enterprise-ready from day one 

Security isn’t an afterthought with SeekOut MCP. All traffic is encrypted via TLS 1.2+.  

SeekOut MCP respects your existing permissions, and no one sees data they couldn’t already access in SeekOut. Sessions are revocable from the admin console at any time. There’s per-user rate limiting, and we never train models on your data. 

SeekOut is SOC 2 Type II compliant, a G2 Leader for Enterprise in 2025, and trusted by over 750 enterprise customers. 

Already a SeekOut Recruit customer? You’re ready right now. 

SeekOut MCP is included in every SeekOut Recruit tier. There’s nothing to buy, nothing to install, and no IT ticket required.  

Connect from your AI assistant’s settings, sign in with your existing SeekOut credentials, and you’re live. Your ATS connection, workspaces, power filters, and permissions carry over automatically. 

Setup takes less than ten minutes. 

The first sourcing platform in your AI assistant 

SeekOut is the first to bring its talent data natively into the AI assistant layer to meet your team where they already work, instead of asking them to come to us. Your recruiters are already working within AI tools. SeekOut MCP makes sure they have the talent data to make that work count. 

Ready to get started? Connect SeekOut MCP today or book a demo to see it in action. If you already have a Recruit license, you can be sourcing in minutes. 

Frequently asked questions about SeekOut MCP 

We already have SeekOut. Why do we need MCP? 

If you’re already a SeekOut Recruit customer, MCP is included in your license at no extra cost. It also doesn’t replace anything about your current setup. It simply brings SeekOut into the flow of your team’s daily work, so instead of switching to the SeekOut UI, your recruiters can search, iterate, and take action from the AI assistant they’re already using.  

Is SeekOut MCP secure? 

Yes. All traffic between your AI assistant and SeekOut is encrypted via TLS 1.2+. MCP respects your existing SeekOut permissions, so no one can see data they couldn’t already access. Admins can revoke any user’s session at any time from the admin console, and per-user rate limiting is built in. SeekOut never trains models on your data. 

We don’t use Claude — we use a different AI assistant. Will it still work? 

SeekOut MCP works with any MCP-compatible AI assistant, including Claude, ChatGPT, Gemini, Microsoft 365 Copilot, Amazon Quick, and others. If your AI tool supports the MCP standard, SeekOut connects to it. 

How long does it take to roll out? 

Minutes. Each user connects from their AI assistant’s settings and signs in with their existing SeekOut credentials. There’s no IT ticket, no infrastructure project, and no onboarding deck required. 

Do we need to buy a new license? 

No. SeekOut MCP is included in every SeekOut Recruit tier at no additional cost. If your team has Recruit, they already have access. 

Will this affect our existing SeekOut setup? 

Not at all. MCP connects to your existing license, workspaces, power filters, ATS connections, and credits. Anything your team does through MCP shows up in Recruit just as if they’d done it in the SeekOut UI.