Model Context Protocol is an open standard for letting AI assistants safely call external tools. RightMatch ships a native MCP server that exposes every in-app action as a tool your LLM can call.

Is this different from a Chrome extension?

MCP talks to our backend directly via a structured protocol — server-to-server, scoped per API key, audit-logged. No browser required.

Is the MCP server included in every plan?

Included in Growth and Scale; available as an add-on to Starter. Every plan also includes the REST API at no extra cost.

NEWNow live in ChatGPT — drive hiring from any LLMSee how

MCP for LLMs · Live now

Run hiring from any LLM. Built on MCP.

RightMatch ships as a native Model Context Protocol server. Send interviews, evaluate candidates, generate JDs, and pull ranked shortlists — directly from ChatGPT, Claude, Gemini, and Copilot. 60-second setup. Works wherever you already work.

Native MCP server — no Chrome extension, no screen-scrape

6 tools available: send_interview, evaluate, generate_jd, shortlist, score_resume, search_candidates

Read-only and read-write scopes per API key

Audit log of every tool call back in the RightMatch app

Try it for free Read the docs

CChatGPTRightMatch · connected

Send AI interviews to my five shortlisted Staff PM candidates and tell me what comes back.

⚙rightmatch.send_interviews✓ 200 ms

{ role: "Staff PM", shortlist: top_5, async: true, deadline: "+72h" }

⚙rightmatch.shortlist✓ 340 ms

5 candidates returned · stage: "interview-sent"

Sent. 5 interviews scheduled — async link delivered to each candidate with a 72-hour window. Average return is 36 hours. I'll ping you in the morning with the ranked results.

12,000+ hiring teams worldwide trust RightMatch

60-second setup

Connect RightMatch to your LLM in 3 steps.

No code, no extension, no browser middleware. MCP is the standard for AI tool integration — you paste a connection string and your assistant has access to every RightMatch action you can take in our app.

Copy your MCP connection string

Open RightMatch → Settings → Integrations → MCP. Generate an API key with the scopes you want (read, write, or both).

Step 1 · Settings → Integrations

endpoint: https://mcp.rightmatch.app/v1
api_key: rm_live_••••••••YBQ4

Paste into your LLM's connector panel

ChatGPT Connectors, Claude MCP Servers, Gemini Integrations, Copilot Add MCP. Same connection string, all four.

Step 2 · Paste into your LLM

CChatGPTSettings → Connectors

CClaudeSettings → MCP Servers

GGeminiSettings → Integrations

CCopilotConnectors → Add MCP

Start prompting your hiring workflow

Ask your assistant who to call today, send an interview, draft a JD, evaluate a transcript — every action shows up in your RightMatch audit log.

Step 3 · Start prompting

"Who should I call today?"

"Send an interview to Maya Thompson."

"Draft a JD for a Staff PM role."

What you can do from your LLM

Six tools. Real hiring work.

MCP lets your assistant act on the RightMatch app on your behalf — with the exact same permissions, audit trail, and scopes as a logged-in user.

✉

send_interview

Send an AI screening interview to any candidate from chat. Set the question count, deadline, and language.

⚖

evaluate_candidate

Score a candidate against your role rubric. Returns a structured report with cited evidence per signal.

📝

generate_jd

Draft a job description scoped to your team, voice, level, and pay band. Pushable back to RightMatch.

📋

shortlist

Pull a ranked shortlist for any open role, filtered by stage, score, or campaign — straight into your chat.

📄

score_resume

Drop a resume into chat; get a match score, signal flags, and AI summary back in seconds.

🔍

search_candidates

Natural-language candidate search across your pipeline. "Show me senior PMs with marketplace experience."

Putting RightMatch in ChatGPT changed my morning routine. I literally ask it who I should call today and it tells me — with the receipts. It's the difference between hiring being something I do at my desk and hiring being something my assistant runs for me.

Henry Galloway

Executive Recruiter · Lumina Group

92%

of weekly TA workflow now driven from LLM

4×

increase in pipeline reviewed per week

23h

time-saved per recruiter, per week

Works wherever you do

ChatGPT, Claude, Gemini, Copilot — and any MCP-compatible host.

MCP is an open standard. If your assistant supports MCP, it supports RightMatch. We test against every major host weekly and publish a compatibility matrix.

See compatibility matrix

ChatGPT

Claude

Gemini

Copilot

Cursor

Cline

Continue

Zed

Windsurf

Custom MCP

API direct

Web app

Live demo · No signup

Try the AI question engine on your own JD.

Paste a job description below. RightMatch generates 5 calibrated screening questions in seconds — the same engine that powers every AI interview in production.

Paste your job description

Generated questions

Paste a JD, click generate. Questions will appear here.

MCP for LLMs · FAQ

Questions, answered.

Model Context Protocol is an open standard, originally introduced by Anthropic and now supported by every major LLM platform, for letting AI assistants safely call external tools and read external data. RightMatch's MCP server exposes the actions you'd take in our app as callable tools — your assistant authenticates with your API key and calls them on your behalf.

Explore the platform

Other AI hiring tools in RightMatch

🎙AI Interviewer

AI video interviews at scale

The most common MCP tool call — sending interviews from chat.

Learn more

📄Resume Analyzer

AI resume screening at scale

Drop a resume in chat; get a scored match back in seconds.

Learn more

🛡Fraud Detection

Catch deepfakes & resume fraud

Visible to your assistant alongside every other candidate signal.

Learn more

Find your Right match.

Start free. Connect your ATS in two clicks — or talk to your LLM. Hire your next teammate before the end of the month.

Try it for free Book a demo

Try it for free

NEWNow live in ChatGPT — drive hiring from any LLMSee how

MCP for LLMs · Live now

Run hiring from any LLM. Built on MCP.

Native MCP server — no Chrome extension, no screen-scrape

6 tools available: send_interview, evaluate, generate_jd, shortlist, score_resume, search_candidates

Read-only and read-write scopes per API key

Audit log of every tool call back in the RightMatch app

Try it for free Read the docs

CChatGPTRightMatch · connected

Send AI interviews to my five shortlisted Staff PM candidates and tell me what comes back.

⚙rightmatch.send_interviews✓ 200 ms

{ role: "Staff PM", shortlist: top_5, async: true, deadline: "+72h" }

⚙rightmatch.shortlist✓ 340 ms

5 candidates returned · stage: "interview-sent"

Sent. 5 interviews scheduled — async link delivered to each candidate with a 72-hour window. Average return is 36 hours. I'll ping you in the morning with the ranked results.

12,000+ hiring teams worldwide trust RightMatch

60-second setup

Connect RightMatch to your LLM in 3 steps.

Copy your MCP connection string

Open RightMatch → Settings → Integrations → MCP. Generate an API key with the scopes you want (read, write, or both).

Step 1 · Settings → Integrations

endpoint: https://mcp.rightmatch.app/v1
api_key: rm_live_••••••••YBQ4

Paste into your LLM's connector panel

ChatGPT Connectors, Claude MCP Servers, Gemini Integrations, Copilot Add MCP. Same connection string, all four.

Step 2 · Paste into your LLM

CChatGPTSettings → Connectors

CClaudeSettings → MCP Servers

GGeminiSettings → Integrations

CCopilotConnectors → Add MCP

Start prompting your hiring workflow

Ask your assistant who to call today, send an interview, draft a JD, evaluate a transcript — every action shows up in your RightMatch audit log.

Step 3 · Start prompting

"Who should I call today?"

"Send an interview to Maya Thompson."

"Draft a JD for a Staff PM role."

What you can do from your LLM

Six tools. Real hiring work.

MCP lets your assistant act on the RightMatch app on your behalf — with the exact same permissions, audit trail, and scopes as a logged-in user.

✉

send_interview

Send an AI screening interview to any candidate from chat. Set the question count, deadline, and language.

⚖

evaluate_candidate

Score a candidate against your role rubric. Returns a structured report with cited evidence per signal.

📝

generate_jd

Draft a job description scoped to your team, voice, level, and pay band. Pushable back to RightMatch.

📋

shortlist

Pull a ranked shortlist for any open role, filtered by stage, score, or campaign — straight into your chat.

📄

score_resume

Drop a resume into chat; get a match score, signal flags, and AI summary back in seconds.

🔍

search_candidates

Natural-language candidate search across your pipeline. "Show me senior PMs with marketplace experience."

Henry Galloway

Executive Recruiter · Lumina Group

92%

of weekly TA workflow now driven from LLM

4×

increase in pipeline reviewed per week

23h

time-saved per recruiter, per week

Works wherever you do

ChatGPT, Claude, Gemini, Copilot — and any MCP-compatible host.

MCP is an open standard. If your assistant supports MCP, it supports RightMatch. We test against every major host weekly and publish a compatibility matrix.

See compatibility matrix

ChatGPT

Claude

Gemini

Copilot

Cursor

Cline

Continue

Zed

Windsurf

Custom MCP

API direct

Web app

Live demo · No signup

Try the AI question engine on your own JD.

Paste a job description below. RightMatch generates 5 calibrated screening questions in seconds — the same engine that powers every AI interview in production.

Paste your job description

Generated questions

Paste a JD, click generate. Questions will appear here.

MCP for LLMs · FAQ