What is Recruiterflow MCP?
Recruiterflow's MCP (Model Context Protocol) integration lets you connect your Recruiterflow account directly to AI assistants like ChatGPT. Once connected, you can search your candidate database, pull up job details, review pipelines, read candidate and contact activity, open files, and check placement financials, all from inside ChatGPT, without switching tabs or logging into Recruiterflow separately.
Think of it as giving ChatGPT a live window into your Recruiterflow account, the same window Recruiterflow already gives Claude.
What ChatGPT Can See Today
The integration covers most of what you'd look up manually in Recruiterflow:
Candidates: name, location, current title and company, tags, custom fields, current pipeline stage, jobs attached, and who owns or added the record
Contacts: client contact records, plus the notes, activities, tasks, and emails logged in your account
Jobs: name, visibility (external, internal, unlisted, confidential, draft, closed, or closed confidential), client company, and status
Pipeline: the full stage-by-stage breakdown for a job, including timestamps and disqualification reasons
Activities: notes, calls, meetings (summary only, not the full transcript), and emails logged against a candidate (job and company-level activity are not yet included)
Files: the files attached to candidates, jobs, companies, and deals, with each file's category and last-updated date. ChatGPT can also read the content of those files
Placements and revenue: milestone value, bill rate and hours, margin, commission, and the revenue and placement data tied to a job
Reference data: team members, pipeline stages, and client companies, so ChatGPT can resolve names like "Sarah" or "Acme Capital" to the right record
Filters you can use when searching:
Candidates by their current stage in a specific job
Candidates by the stages they have passed through in a job's pipeline
Candidates by whether they are active in an open or closed job pipeline
Candidates and jobs by client company
Jobs by visibility (external, internal, unlisted, confidential, draft, closed, or closed confidential)
The integration is read-only. ChatGPT can query this data but cannot create, edit, delete, or merge anything in your account. Think of it as a reporting layer, not an editing one.
Normal Recruiterflow permissions apply. ChatGPT only sees what your user account is allowed to see, including placement and revenue data.
This is the same data set the Claude MCP integration exposes today. ChatGPT and Claude are reading from the same Recruiterflow connector, just through each assistant's own connection flow.
How to Connect
Quickest way, from the ChatGPT plugin directory: Open ChatGPT, go to Plugins, search for "Recruiterflow," and click Add to your account. Recruiterflow is now listed as an officially approved plugin, so most users won't need Developer Mode or the manual setup below at all.
Next, Click Allow on the consent screen
Note: Authentication uses OAuth 2.1. Recruiterflow never stores your ChatGPT credentials, and ChatGPT never stores your Recruiterflow password. You're authorising a secure, read-only connection between the two.
Using it in a conversation: Select the Recruiterflow app for a specific message (it only applies to that message, not the whole conversation), or @mention it again whenever you want ChatGPT to pull fresh data or take a new action. You can combine Recruiterflow with other apps in the same prompt.
Example Prompts to Try
Once connected, here are some things you can ask ChatGPT:
Look things up, without opening Recruiterflow:
"Find candidate Tony Stark"
"Show me candidates in New York or Boston with 'React' in their tags"
"Who's currently in the Interview stage of the Backend Engineer job?"
"List all open jobs for Acme Capital"
"Show me the notes, tasks, and emails for [contact name]"
"Which files are attached to [candidate name], and which one is the latest resume?"
Ask for the analysis directly:
"Break down every candidate on this job by lead owner and stage: [job name]"
"Rank disqualification reasons on this job by frequency: [job name]"
"How many candidates does each recruiter currently own across every open job?"
"Show the bill rate, margin, and commission on each placement for [job name]"
Connect the output to other tools:
"Turn this job's pipeline breakdown into a table I can drop into a client report"
"Summarize this candidate's full activity history into a one-paragraph brief before my call"
"Read this candidate's resume and turn it into a one-page profile I can send to a client"
Name search matches partial names too. "Tony" will find "Tony Stark," so you don't need the full name to get a hit.
Data & Privacy
The integration is read-only. ChatGPT can retrieve data from Recruiterflow but cannot create, edit, or delete anything.
Access is scoped to your account. ChatGPT can only see data that your Recruiterflow user account has permission to access. This includes files, contacts, and placement and revenue data.
You can disconnect the integration at any time from ChatGPT Settings → Plugins
Troubleshooting
ChatGPT says it can't find candidates I know exist.
Try a shorter or more specific search term. A first name or a distinctive part of the name usually works better than the full name. If you're searching by location, "New York" and "NY" are treated as different values, so try both.
ChatGPT can't filter jobs by status.
You can filter jobs by visibility, which includes closed and closed confidential. For open vs. closed status, ask ChatGPT to list all jobs matching a name or company and it will show the status for each.
ChatGPT doesn't show placement or revenue data.
This data follows your Recruiterflow permissions. If you can't see revenue or placement details on a job in Recruiterflow, ChatGPT can't see them either. Ask your Recruiterflow admin to check your role.