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Crelate + MCP (Model Context Protocol)

Connect compatible AI assistants to your Crelate data with the Model Context Protocol (MCP). Learn how MCP simplifies access to recruiting data and creates new possibilities for AI-powered workflows.

Written by Amanda Krutz

We are making it easier to bring the power of AI into your recruiting workflow.

With support for the Model Context Protocol (MCP), you can connect compatible AI assistants and tools to your Crelate data using a standardized connection, reducing the need to build and maintain custom integrations.

Availability: The Crelate MCP Server is currently available as a beta feature for Business Plus and higher subscriptions, depending on the services included in your plan. MCP access is enabled per organization by Crelate. To request access, contact your Success Manager or Crelate Support.

What Is MCP?

AI assistants are quickly becoming part of everyday recruiting and business workflows. However, connecting those tools to the systems where your data lives has traditionally required custom integrations, development resources, and ongoing maintenance.

The Model Context Protocol (MCP) provides a standardized way for compatible AI assistants to interact with Crelate. This allows you to bring your Crelate data into the AI tools you already use while reducing the complexity of building individual integrations for every AI platform.

With MCP, you can connect compatible AI-powered tools, including solutions such as ChatGPT, Claude, Microsoft Copilot, and other supported AI assistants, to Crelate data through a standardized protocol.


Access Your Crelate Data Through AI

The Crelate MCP Server gives compatible AI tools read-only access by default to supported Crelate data.

This means compatible AI tools can help you retrieve and work with information from Crelate using natural language, including data related to:

  • Candidates

  • Contacts

  • Companies

  • Jobs

  • Activities

For example, rather than manually navigating through records, you may be able to ask your connected AI assistant questions about information stored in Crelate and use that context to support your workflow.


What Can You Do with MCP?

The Crelate MCP Server can help create new ways to interact with your recruiting data through AI-powered tools.

Potential use cases include:

  • Identify qualified candidates for an open role

  • Retrieve information using natural language about candidates, Contacts, Companies, Jobs, and recruiting activity

  • Generate summaries of candidate pipelines or recruiting activity

  • Ask more precise questions, such as how many calls you made yesterday or which Contacts are within a set distance of a location

  • Review resumes to triage a shortlist based on what the resumes actually say

  • Explore and analyze recruiting data through the AI tools you already use

  • Build AI-powered workflows around your Crelate data as MCP capabilities continue to evolve

Instead of requiring users to learn a completely new interface for every question, MCP helps bring Crelate data into the AI experiences and tools that are already becoming part of everyday work.


A Simpler Alternative to Custom Integrations

One of MCP's biggest benefits is reducing the complexity traditionally associated with connecting AI tools to business systems.

Rather than building and maintaining separate custom integrations for each AI platform, MCP provides a standardized approach that supports an expanding ecosystem of compatible AI applications.

This helps you:

  • Connect AI assistants directly to Crelate data

  • Reduce the need for custom integration and development work

  • Bring recruiting information into compatible AI tools

  • Prepare for emerging AI platforms and technologies as the ecosystem continues to evolve


Read-Only by Default

Connections to the Crelate MCP Server are read-only by default. Compatible AI tools can access and retrieve supported information from Crelate without being able to change your data.

If a connection needs to take action, such as creating a note, you can opt in to the tools that write data when you approve the connection. Most Crelate MCP tools only read data, and no tool sends email for you or changes your Crelate settings.

A connected assistant acts on your behalf and can only access what your Crelate user account is already authorized to access. This creates a foundation for future MCP capabilities while keeping the focus on securely connecting AI assistants with your Crelate data.


More Reliable, More Precise, and Easier to Connect

The Crelate MCP Server continues to improve based on feedback from the people using it every day:

  • Sign in with OAuth. Connect by signing in with your Crelate credentials, with no key to create, copy, or paste. Connections stay signed in, and you can connect from ChatGPT.

  • More precise questions. Filter by owner, by business dates, by Company, by distance, and by tag name.

  • Readable resumes. Resume and document text comes back clean and readable.

  • Clearer answers. Unsupported requests are flagged instead of quietly returning unfiltered results.

  • More control for Admins. Admins can grant MCP access separately from API access, and actions an assistant performs show its name in the audit log.


Looking Ahead

The Crelate MCP Server is just the beginning of what is possible with AI-powered access to your recruiting data. As the beta experience evolves, we plan to continue expanding MCP capabilities and introducing new ways for compatible AI tools to interact with Crelate.

Crelate MCP provides a foundation for bringing Crelate data into the AI tools you already use, with additional capabilities planned as the experience continues to grow. Your feedback helps shape what comes next, so share your ideas on the Feedback Board.


Key Takeaway

The Crelate MCP Server lets you bring your Crelate data into the AI tools you already use, without building custom integrations. Connections use sign-in with OAuth and are read-only by default, and an assistant can only access what your Crelate user account is authorized to access. If you have trouble connecting, see Why Am I Unable to Connect to or Use Crelate MCP? Access and Troubleshooting.


What's Next?

Want to see what else is new in Crelate? Explore the full What’s New article to discover all of the latest features, enhancements, and improvements now available.

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