Ashby logo — MCP server on Gumloop

Ashby MCP Server

Connect to the Ashby MCP server to search candidates, manage applications, schedule interviews, and read feedback across your recruiting pipeline using AI agents on Gumloop, Claude, or Cursor.

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Installation

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1

Create a Gumloop Account

To use this MCP, you need a Gumloop account. If you don't have one yet, you can create one for free.

2

Copy Your Server URL

Copy your MCP server URL and add it to your client. You'll be prompted to authorize on first use.

Tools (66)

  • List Candidates

    List all candidates in your organization with pagination support. Supports search by email/name.

  • Get Candidate Info

    Get detailed information about a specific candidate by their unique identifier. Returns comprehensive profile including contact details, applications, and history.

  • Create Candidate

    Create a new candidate in your organization with comprehensive profile information including contact details, social links, and source attribution.

  • Update Candidate

    Update candidate profile information including contact details, social links, source attribution, and location.

  • Add Candidate To Project

    Add a candidate to a specific project for organization and tracking purposes.

  • Add Candidate Tag

    Add a tag to a candidate for categorization and filtering purposes.

  • Create Candidate Note

    Create a note on a candidate with support for plain text or HTML formatting with limited tags.

  • Anonymize Candidate

    Anonymize a candidate - this action cannot be reversed and requires all applications to be in archived or hired state.

  • List Applications

    Get all applications in your organization with comprehensive filtering and pagination support. Filter by job, status, creation date, and expand related data.

  • Get Application Info

    Get detailed information about a specific application by application ID or submitted form instance ID. Returns comprehensive application data including candidate details and interview history.

  • Update Application

    Update application properties including source, credited user, creation date, and notification settings.

  • Remove Application Hiring Team Member

    Remove a user from the hiring team at the application level for a specific role.

What is Ashby MCP?

The Ashby MCP server gives AI agents access to your Ashby recruiting data. That means agents can search candidates and applications, read resumes and interview transcripts, move applications between pipeline stages, schedule and reschedule interviews, pull scorecards and AI criteria evaluations, create jobs and offers, and manage interviewer pools. It works across the full Ashby hiring workflow: candidates, applications, jobs, interviews, and offers.

If your team spends time copying candidate details into spreadsheets, chasing scorecards, manually moving applicants through stages, or assembling weekly hiring reports by hand, an AI agent can take over a lot of that busywork. Describe what you need, and your AI agent will handle the recruiting operations for you.

MCP stands for Model Context Protocol. It’s an open standard that gives AI agents a way to connect to external tools and services. Instead of writing code against the Ashby API, handling pagination and rate limits, and parsing JSON responses yourself, you add your Ashby API key to Gumloop once. After that, you manage your recruiting pipeline just by asking your AI agent in plain language.

Related MCP servers

What you can do with Ashby MCP on Gumloop

  • Search candidates and pull full profiles

    Find candidates by name or email and pull complete profiles: contact details, applications, notes, and attached files like resumes. Your AI agent can summarize a candidate’s history or surface the right people, without you clicking through Ashby.

  • Move applications through your pipeline

    List applications filtered by job, status, or date, then change stages, transfer candidates between jobs, or update application details. Pull the full stage-transition history for any application to see exactly how a candidate moved through the funnel.

  • Read scorecards, feedback, and AI criteria evaluations

    Pull interview scorecards and feedback submissions for any application, and read Ashby’s AI-generated criteria evaluations. Your agent can roll up interviewer feedback into a clean hiring summary, or flag where reviewers disagree.

  • Download resumes and interview transcripts

    Pull candidate files and interview transcripts into Gumloop storage so an AI agent can read, summarize, or analyze them. Useful for screening at volume or generating debrief notes.

  • Schedule, reschedule, and cancel interviews

    Create interview schedules for an application with defined events, interviewers, and timing, then update or cancel them as plans change. List interview events and plans to keep coordination on autopilot.

  • Create and update jobs and offers

    Open new jobs, update titles, teams, and locations, change job status, and create offers for applications, all programmatically. Read job postings and openings to keep requisitions in sync.

  • Add notes, tags, and custom field values

    Write notes on candidates, apply tags for categorization, add candidates to projects, and set custom field values on candidates or applications to keep records clean and searchable.

  • Manage interviewer pools and training paths

    List, create, and update interviewer pools, and add users to specific training-path stages. Useful for scaling your interviewing bench and tracking who’s qualified for which loops.

How to connect the Gumloop Ashby MCP Server

  1. 1

    Create a free Gumloop account

    Sign up at gumloop.com. No credit card required.

  2. 2

    Add the Ashby MCP server

    Copy your MCP server URL from Gumloop and add it to your preferred client (Claude, Cursor, or Gumloop workflows). You'll authorize on first use.

  3. 3

    Start using Ashby in your AI workflows

    That's it. Your AI agent can now search candidates, manage applications, schedule interviews, and pull feedback across your Ashby pipeline. Use it inside a Gumloop automation, in Claude Desktop, or in Cursor.

Ashby MCP use cases

Automated candidate screening for recruiters

When new applications come in, a Gumloop agent can pull each candidate’s resume and profile, run it through an AI model against the job’s criteria, write a summary note back to the candidate in Ashby, and post the strongest matches to a Slack channel. Recruiters review a shortlist instead of a stack of resumes.

Weekly pipeline reporting for talent leaders

Pull every application by stage and job, summarize movement since last week, and compile a hiring report into Google Sheets or a Slack message. Heads of Talent get a current funnel snapshot (time-in-stage, offers out, stalled candidates) without anyone exporting CSVs.

Interview scheduling and coordination

An AI agent can read a job’s interview plan, create interview schedules with the right interviewers and timing, and notify everyone in Slack or by email. When something changes, the agent updates or cancels the schedule and re-notifies, cutting out the back-and-forth coordinators usually own.

Interview debrief summarization

After interviews wrap, pull all scorecards, written feedback, and AI criteria evaluations for an application, then have an AI agent compile a single balanced debrief doc (including where interviewers agreed and disagreed) and drop it in the hiring team’s channel ahead of the decision meeting.

Cross-platform hiring agents

Connect Ashby with Slack, Gmail, Google Calendar, and other MCP tools in a single agent. Trigger candidate outreach in Gmail when someone hits a stage, sync offer-stage candidates to a finance sheet, or kick off onboarding tasks the moment an offer is created. Your ATS talks to the rest of your stack automatically.

Why use Gumloop for Ashby MCP

  • Your API key, stored securely — no env vars, no code

    Most Ashby MCP servers you’ll find on GitHub require you to store your Ashby API key in environment variables and write code to handle authentication, pagination, and rate limits. With Gumloop you add your key once and it’s stored securely. No config files, no token management, and no code against the Ashby API.

  • Works with multiple MCP clients

    Use the Ashby MCP server endpoint in Claude Desktop, Cursor, or directly inside Gumloop agents. Same server URL, works with any MCP client.

  • Chain Ashby with 100+ other integrations

    Combine Ashby with Slack, Gmail, Google Sheets, Google Calendar, Notion, and other MCP tools in a single AI agent. Pull data from one tool, process it with an LLM, and write the result back to Ashby or anywhere else.

  • Enterprise-grade and scalable

    Built for teams, with role-based permissions and dedicated support for Pro users. Handles candidate PII responsibly, whether you’re a single recruiter or a large talent org.

  • Pricing includes a free plan

    You can test the Ashby MCP integration on Gumloop’s free tier before committing. Paid plans start at $37/month.

Frequently asked questions

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