Drop the Jarvi MCP server into ChatGPT and run your ATS from chat. Search your talent pool, draft outreach, score shortlists and send messages, in plain English.
What changes when ChatGPT can read your ATS.
Generic. You still dig her bio, her last role and her last reply, then rewrite it yourself.
Hi Sarah, hope you're well. You replied last year on a similar Go role and the timing was off then. I am working on something closer to your sweet spot now: distributed payments infrastructure, small staff-level team, hybrid Paris. Worth a quick 20 min next week?
Grounded on your data. Drafted in seconds. Sent through Jarvi in one click.
One chat window, your real data. Search, create, fill fields, score, message and report. Real actions, written back to Jarvi and audited.
ChatGPT does far more than send messages. It creates jobs, companies and contacts in Jarvi, fills custom fields, links a company to a project, updates a candidate stage and runs multi-step actions on your data. Paste a LinkedIn job post and it builds the opening, finds the company, adds the right contact and lines up the shortlist, each step written back to your ATS and audited.
Ask ChatGPT for five senior Go engineers in Paris, available now, with fintech background. The answer is five real profiles from your Jarvi pool, ranked by fit, with the last interaction surfaced for each. No keyword juggling, no boolean syntax. The MCP server queries the same semantic index your team uses inside Jarvi, so a request in plain English maps to the same scoring. Add filters in natural language (exclude anyone we contacted in the last six months) and ChatGPT applies them on the fly.
ChatGPT pulls the candidate fiche, picks the relevant signals (last role, past replies, project history), drafts a first message in your tone, and offers a Send via LinkedIn action. You read, edit if needed, hit send. The message goes out through Jarvi's existing channels (LinkedIn invitations and messages, email, WhatsApp, Telegram, SMS) and lands on the candidate timeline like any other Jarvi outreach. The conversation stays attached to the fiche instead of evaporating in a chat tab.
Drop ten applicants on a project, ask ChatGPT to score them against the brief. It reads the project description from Jarvi, pulls each candidate's fiche, returns a ranked list with explanations anchored on the criteria you actually defined. Follow-up questions work without re-feeding context. The score writes back to Jarvi when you ask, with the explanation attached, so the next person on the team sees the rationale.
Build the weekly report for the Globex search returns a structured update with active candidates, recent moves, blockers and next actions, generated from the live project data. Same logic for client P&L summaries, pipeline rollups, or your own weekly review. The report is ready to paste into an email or send directly through Jarvi if your client is connected.
A real end-to-end example. ChatGPT does not just answer, it acts: creating records, enriching them and moving the work forward, step by step.
Paste a job you found on LinkedIn into ChatGPT and ask it to set it up in your ATS.
ChatGPT creates the job in your ATS, with the fields filled from the post.
It looks up the company page of the business that posted, and links it to the project in Jarvi.
It finds the LinkedIn person who published the role, the contact you actually want to reach.
It checks the company website for the email pattern (often firstname.lastname@company.com) and builds the address.
The contact is created on the company in your ATS, with the email ready to use.
It ranks the strongest candidates from your Jarvi pool for the role.
A clean candidate report is generated for each shortlisted profile.
It drafts a tailored message per profile and sends the reports by email, each with its own angle.
A typical multi-step run. ChatGPT can structure records, fill fields and chain actions across your ATS, not just send messages.
Where the MCP connection changes your week.
Book a 30-minute demo and see ChatGPT search, draft and act on your real Jarvi pool over MCP.
Nothing to host on your side. Just a URL to drop into ChatGPT.
Any ChatGPT plan that supports connectors.
Hosted by Jarvi. OAuth 2.1 with PKCE.
Candidates, projects, channels, audit log.
No engineering, no middleware. Open ChatGPT, add the MCP URL, go.
From Settings, copy the MCP endpoint of your workspace. Permissions follow your existing Jarvi roles.
Open ChatGPT, paste the URL in Connectors, sign in to Jarvi via OAuth. Confirmed in one screen.
Type "Find five backend engineers in Paris from my pool" and watch ChatGPT pull your live data.
Need the full setup guide? Read the docs.
Copy, paste into ChatGPT with the Jarvi MCP connected. Done.
Find five senior backend engineers in Paris from my Jarvi talent pool with fintech experience.
Score the ten applicants on the Senior PM project against the brief and explain each score.
Draft a LinkedIn first message for this profile, in my tone, mentioning her last role.
Send a soft follow-up to everyone who has not replied in seven days on the Globex search.
Give me a status update on the Acme search with bottlenecks and next steps.
Build the weekly progress report for Globex, ready to send by email.
Turn this five-line brief into a polished job description and post it to Jarvi.
Find three lookalikes of the candidate I placed at Initech last quarter.
Surface ten silver medalists worth re-contacting on the Senior Data role.
Find duplicates in my Acme pipeline and merge them on the most complete fiche.
Prepare three interview questions tailored to this candidate fiche.
Draft a respectful rejection email for the five candidates rejected on the Acme search.
ChatGPT only sees what your Jarvi permissions allow.
No static API key to leak. Each user signs in through OAuth, scoped to their existing Jarvi permissions. Revoke any session from Jarvi settings.
Your data sits on AWS infrastructure in London, ISO 27001 and SOC 2 certified, encrypted in transit and at rest. GDPR compliant. Each customer's data is isolated.
Every call from ChatGPT is logged: who asked, what was read, what was written, on which channel, when. Available inside Jarvi, exportable on request.
The MCP server enforces your existing Jarvi role model. A recruiter only reaches the candidates and projects they can already see in the app.
"Why AI works 1000x better than mail merge"
You know the drill… You think: “I’ll just send my emails oldschool via Outlook + Word + Excel.” Because yes, that has been working for 20 years.
Well… I proved again why I NEVER do that anymore. Mail sent without a signature? Without a first name? One person even got the same wrong email 3 times?
And then anyone dares to say that AI is “not reliable”? Don’t make me laugh. AI sends my messages perfectly personalized, without errors, without hassle. Jarvi has never forgotten a single first name or sent the same email to someone three times.
I’d rather work smart than retro.
"I save 5 to 10 hours a week and handle 4x more candidates."
Jarvi is my single source of truth — I don’t even check my email anymore.
I set up my campaigns, add candidates to a pipeline, and literally forget about them. Suddenly, candidates are responding and I’m like, where did this person come from?
3 to 4 placements in my first month with Jarvi.
It takes care of the things I don’t want to do and keeps me focused on the parts that are engaging, fun, and bring value.
"2 of us do what others need 5 or 6 for"
“How many people do you have to manage all this?” That’s the question a prospect asked me a few days ago for a recruitment mission. My answer: there are two of us. And I’m proud of it.
Why? Because with two people, we accomplish what others sometimes need five or six for. Not by magic. Not by burning out. But because everything is thought through, structured, and properly equipped. With an ATS that also serves as a CRM, allowing us to track every candidate, every step, every company.
Through MCP. Jarvi hosts an MCP server tied to your workspace. You add its URL as a connector in ChatGPT, sign in via OAuth, and the chat window can now query Jarvi like any other tool. No middleware on your side, nothing to deploy.
Any ChatGPT plan that supports connectors. The connector feature is rolled out by OpenAI on Plus, Team, Business and Enterprise. The Jarvi side works on every Jarvi plan, since Jarvi only has one plan and everything is included.
Yes. Jarvi ships as a single plan with everything included, the MCP server too. Your only cost on the ChatGPT side is your existing OpenAI subscription.
Yes. The Jarvi MCP server is a standard implementation. The same URL works with Claude, with the in-app Jarvi AI Agent, and with any MCP-compatible client that comes next.
Not on Jarvi's side. Jarvi only exposes data through the MCP server, with OAuth, audit log, and EU hosting. Once the data reaches your ChatGPT session, what happens next depends on your own OpenAI configuration (workspace settings, data controls, retention). If this matters to your DPO, run ChatGPT on a workspace plan that opts out of training.
London, on AWS infrastructure (ISO 27001 and SOC 2), encrypted in transit and at rest. Each customer's data is isolated. GDPR compliant.
Yes. ChatGPT inherits the Jarvi permissions of the user who signed in. A recruiter who only has access to two clients in Jarvi can only reach those two clients from ChatGPT. Sessions are revocable from Jarvi at any time.
Every call: who asked, what was read, what was written, on which channel, when. The audit trail lives in Jarvi and is exportable.
The Jarvi AI Agent runs inside Jarvi, on your pipeline, on its own loops. The ChatGPT integration lets you stay in ChatGPT and pull Jarvi data on demand, using the same MCP server. Most teams use both: the Agent for background work, ChatGPT for ad-hoc prompts.
Zapier and Make trigger predefined steps on events. The Jarvi MCP gives ChatGPT free read and write access to your ATS within your role permissions, so any prompt becomes a query or an action without wiring a new automation. The two combine: Zapier for scheduled flows, ChatGPT for live work.
LinkedIn invitations, LinkedIn messages (including Recruiter and Sales Navigator inboxes), email, WhatsApp, Telegram, SMS, and calls when your provider is connected. Sending requires the same permissions the user already has in Jarvi.
Two minutes to connect over MCP. Zero engineering. Your data stays in Jarvi.
Native AI ATS, CRM and multi-channel outreach, in one workspace.
