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InterviewFlowAI

by interviewflowaiversion 1.1.0i★ –iRuns in the cloud
Registry namecom.interviewflowai/mcp

Install

Overview

Description from the maker (original English)

Review candidates and run hiring actions in InterviewFlowAI from Claude, ChatGPT, Codex and more.

PopNx MCP’s three pillars

These three are never merged into one score: opinions, measurements and popularity are different things.

What you can do with it

We have not written a plain-language summary for this one yet. Below are the facts we read from the registry.

Install

Pick the AI app you use, then copy the settings.

Before you install

  • Basic checks: 1 of 1 passed
  • Runs on the maker’s server: what you ask it goes through their server.
  • The registry lists no key to fill in.

You need

Which app do you use?

Pick your app above. We remember it, so next time the button says “Install in …”.

Works in Claude on the web, desktop and mobile:

  1. Open Settings → Connectors
  2. Press Add custom connector
  3. Paste the address below and press Add
  4. If it asks you to sign in, sign in with the maker
SettingsConnectors1+ Add2https://…3
https://api.interviewflowai.com/mcp

Run this in your terminal

claude mcp add --transport http interviewflowai https://api.interviewflowai.com/mcp

Open in Cursor

Or copy the settings yourself

Paste into .cursor/mcp.json in your project, or ~/.cursor/mcp.json

{
  "mcpServers": {
    "interviewflowai": {
      "url": "https://api.interviewflowai.com/mcp"
    }
  }
}

Your browser asks to open the app, then the app shows the settings and asks you to confirm. Key values are left empty for you to fill in.

Open in VS Code

Or copy the settings yourself

Paste into .vscode/mcp.json in your project

{
  "servers": {
    "interviewflowai": {
      "type": "http",
      "url": "https://api.interviewflowai.com/mcp"
    }
  }
}

Your browser asks to open the app, then the app shows the settings and asks you to confirm. Key values are left empty for you to fill in.

ChatGPT connects only to servers on the internet:

  1. Open ChatGPT on the web → Settings → Connectors (Apps)
  2. Press Create or Add (some plans need Developer mode under Advanced first)
  3. Paste the address below, give it a name and save
  4. If it asks you to sign in, sign in with the maker
SettingsConnectors1+ Create2https://…3
https://api.interviewflowai.com/mcp

Menu names can differ slightly by plan and over time.

Your choice stays on this device in a cookie; no account needed.

These settings are generated from the maker’s registry entry. If the README says otherwise, follow the README.

What it can do

We have not read this server’s tool list yet; we check endpoints in rotation.

Basic checksi

We check information anyone can see; we have not read the code. Checks that do not apply are left out of the count. · Checked Nov 6, 2026

  • ✓ Pass

    Maker matches the repo

    The registry name was verified against the domain interviewflowai.com (the registry checks domain ownership)

  • … Not checked yet

    Still maintained

    We have not read this repo from GitHub yet

  • … Not checked yet

    Has a licence

    We have not read this repo from GitHub yet

  • … Not checked yet

    Endpoint responds

    Not checked yet; we check endpoints in rotation

  • … Not checked yet

    Sign-in with OAuth

    Not checked yet; we check endpoints in rotation

  • … Not checked yet

    No hidden instructions in tool descriptions

    Not checked yet; we read the tool list when we check the endpoint

Compared with others in Otheri

  • More stars than 0% of the other 32417 servers in this category
  • Published to the registry more recently than 77% of the other 32417 servers in this category
  • Basic checks equal to or better than 100% of the other 32417 servers in this category

Compared with every active server in this category in the registry. Stars count only when the publisher owns the repo.

Common questions

Is InterviewFlowAI safe?

It passed 1 of 1 applicable basic checks. We have not read the code. Before adding a key or token, see what access the server asks for and use a key with only the permissions you need.

What keys or codes does it need?

The registry does not list a required key, though some servers ask you to sign in on first use.

Does it run on my computer or in the cloud?

It runs in the maker’s cloud. Connect over the internet with nothing to install, but what you send passes through the maker’s servers.

Is it still maintained?

The GitHub repo last changed –, and the latest version (1.1.0) reached the registry 10 days ago.

Which apps can use it?

Apps that support MCP, such as Claude Desktop, Claude Code, Cursor and VS Code. It connects by URL, so apps that accept remote MCP servers work too, such as ChatGPT in developer mode.

What can I use instead?

In the same category: Spec Driven Development, Remote Desktop Commander, FOGA node

Alternatives

Servers in the same category from other makers, sorted by stars.

Reading a card:★ GitHub starsiThree pillars: reviews · checks · usageiUpdated = latest version published to the registryi

Spec Driven Development

by formulahendry

MCP Server that facilitates spec-driven development workflows, not just Vibe Coding.

Runs on your computer★ 440MITUpdated 14 months ago
Install

Remote Desktop Commander

by desktop-commander

Remote Desktop Commander: use files, terminal and processes on your own computers from any AI app.

Runs in the cloud★ 211Updated yesterday
Install

FOGA node

by garyyang-finchip

A Finch OG Agent cell as an MCP server: read the world, dry-run and take ERC-8414 tenders by policy.

Computer or cloudUpdated today
Install

README from the maker

Open the README

Copied from the maker’s repo as written. PopNx MCP has not reviewed or endorsed it. HTML, images and scripts are removed. Links lead off this site.

InterviewFlowAI MCP

Connect InterviewFlowAI to Claude, ChatGPT, Claude Code, Codex, Cursor, VS Code, OpenCode, and other MCP-compatible AI agents. Ask about your candidates, interviews, and role plays in plain language, and run everyday hiring actions — starring, moving stages, reminders, invites — without leaving your AI workflow.

"Who are my top candidates for the Senior PM role, and where did each of them shine?"

"Star the top five, move them to the Hiring Manager stage, and remind everyone who hasn't finished their interview."

"Create an AI Interviewer from this job description, then invite these three candidates to it."

Ask a question like that in Claude or Codex, and the answer comes back from your own InterviewFlowAI workspace — not from a spreadsheet you pasted in ten minutes ago. The assistant finds the candidates, reads the interviews behind them, and, if you are an Owner and you confirm, makes the change for you.

InterviewFlowAI MCP is a hosted remote MCP server. You do not need to run anything locally, install a package, or manage a server. You connect your AI assistant to https://api.interviewflowai.com/mcp and sign in with your InterviewFlowAI account.

  • MCP endpoint — https://api.interviewflowai.com/mcp
  • Registry name — com.interviewflowai/mcp
  • Documentation — https://docs.interviewflowai.com/platform/mcp
  • Product page — https://interviewflowai.com/features/mcp

Why this exists

Recruiting teams already use AI assistants to write outreach, summarize notes, and prep for debriefs. The gap is data: the assistant does not know who applied, who finished an interview, or how anyone scored. So you copy and paste, and the assistant reasons about a stale fragment of your pipeline. Then you switch back to the dashboard to act on what it told you.

The Model Context Protocol (MCP) is an open standard that lets AI assistants connect to external systems through a consistent interface. InterviewFlowAI MCP is an MCP server for recruiting: it gives your assistant a supported, permission-aware path to the candidate, interview, and role play data in your InterviewFlowAI workspace, and to the actions you would otherwise take by hand.

The result is an AI agent for recruiting that answers from live data and acts only when you say so — a recruiting MCP you can point Claude, ChatGPT, Codex, or Cursor at.

What can you do with InterviewFlowAI MCP?

Everyone (Owners and Viewers)
  • Find and filter candidates for an AI Interviewer — sort by interview, resume, or assessment score, or by most recently completed; filter by status, starred, and score range.
  • Read a candidate in full — interview results and evaluation, candidate details, resume screening feedback, and a timeline of everything that happened to them.
  • Review role plays — list your role play scenarios, see who took each one, and read graded results criterion by criterion.
  • Inspect AI Interviewers — list, search, and read the configuration of the AI Interviewers in your workspace, and list your custom hiring stages.
  • Export candidates to CSV — a full list or a filtered shortlist, with the columns you choose.
Owners

Everything above, plus:

  • Star candidates (1–5 stars) or remove a rating.
  • Move candidates to one of your custom hiring stages.
  • Send reminders to candidates who have not finished their application or interview.
  • Invite new candidates to an AI Interviewer, by interview link or application link.
  • Give candidates more time by extending their interview link.
  • Invite candidates to a role play and follow their results.
  • Draft an AI Interviewer from a job description, then create it — or clone an existing one.
  • Change an AI Interviewer's visibility (public or private) or archive it.
  • Update candidate notes and custom fields.

Every change starts as a preview. Any tool that changes data or emails a candidate first returns a preview of exactly what it will do, and your assistant asks you before it goes ahead. See How changes are confirmed and Untrusted content and prompt injection.

InterviewFlowAI MCP never decides on its own who advances. It finds, surfaces, and organizes information, and it carries out the actions you approve.

Tools

The server exposes the tools below. Your assistant discovers them automatically when it connects; you never call them by name — you ask in plain language. AI Interviewers are called *jobs* in tool names.

Read tools — available to every signed-in user
ToolWhat it does
list_jobsList and search AI Interviewers, with candidate counts.
get_jobRead one AI Interviewer's full configuration.
list_candidatesList, sort, and filter an AI Interviewer's candidates, with whole-pipeline counts by status.
get_candidateRead one candidate's interview, evaluation, and details.
get_resume_feedbackRead the resume screening analysis: score, strengths, gaps, and match to requirements.
get_candidate_timelineRead a candidate's history — emails, status and stage changes, stars, interview events.
list_stagesList your workspace's custom hiring stages.
export_candidatesExport candidates to CSV and return a download link.
get_exportCheck on a large export and get its link when it is ready.
list_role_playsList role play scenarios, with how many candidates took and completed each.
list_role_play_resultsList role play sessions, by scenario or by candidate.
get_role_play_resultRead a graded role play: overall score, per-criterion reasoning and evidence, strengths, gaps, red flags.
Owner tools

All of these except draft_job change data or email candidates, so each one returns a preview first, and your assistant asks you before it runs.

ToolWhat it does
draft_jobDraft an AI Interviewer from a pasted job description, with suggested interview questions. Saves nothing.
create_jobCreate an AI Interviewer, usually from a draft.
clone_jobCopy an AI Interviewer with all its settings and questions. Candidates are not copied.
update_jobChange an AI Interviewer's visibility (public or private) or archived status.
star_candidatesRate candidates 1–5 stars, or remove the rating.
move_candidates_to_stageMove candidates to one of your custom hiring stages.
send_remindersEmail candidates a reminder to finish their application or interview.
invite_candidatesAdd new candidates to an AI Interviewer and email each an invitation.
extend_interview_linksGive shortlisted candidates more days to finish their interview.
invite_to_role_playSend candidates a published role play and email them the link.
update_candidate_notesReplace a candidate's recruiter notes.
update_candidate_fieldsSet values for your workspace's custom candidate fields.

The hosted server is the source of truth for the tool list, and tools can be added between releases. The official documentation describes the current capabilities.

Example prompts

Start here

These are the fastest way to confirm the connection works:

List my AI Interviewers.
Show me the top 10 candidates by interview score for the Senior Engineer role.
Who completed their interview for Sales Associate this week?
Ask for the thinking, too
Of the candidates who scored above 70, which three would you look at first,

and what would you want to probe in a live call?

Why did this candidate get a low resume score? Show me their timeline too.
Across the candidates for this role, what are the most common weak spots?

Is that the candidates, or is it how the interview is asking the question?

Then act on it (Owners)
Star the top 5 candidates for Senior Engineer and move them to the Onsite stage.
Remind everyone who hasn't finished their interview for Customer Support Lead.
Invite the shortlisted candidates to the customer-call role play,

and show me their results when they're done.

Create an AI Interviewer from this job description: …
Export the starred candidates for Account Executive as a CSV.

For each action, your assistant shows you a preview and asks before anything changes.

A larger, categorized set lives in [examples/recruiting-prompts.md](examples/recruiting-prompts.md), and end-to-end recruiting workflows in [examples/workflows.md](examples/workflows.md).

How it works

Recruiter

│ ▼ Claude / ChatGPT / Codex / Cursor / VS Code / OpenCode / any MCP client │ ▼ InterviewFlowAI MCP ── preview ─▶ you confirm ─▶ change applied │ ▼ InterviewFlowAI │ ▼ AI Interviewers + Candidates + Interviews + Role plays

In plain terms:

  1. InterviewFlowAI hosts the remote MCP server. It runs at https://api.interviewflowai.com/mcp. Nothing to install or operate.
  2. Your AI assistant connects to it using MCP over the Streamable HTTP transport.
  3. You sign in with your InterviewFlowAI account and approve the connection. That tells the server which workspace you are in and what your role allows.
  4. The assistant calls InterviewFlowAI tools on your behalf. Read tools answer straight away. Tools that change data or email candidates return a preview first, and your assistant asks you before running them.

Your assistant never gets blanket access to InterviewFlowAI. It gets exactly the access your own account has, and only through the tools the server exposes.

MCP endpoint

https://api.interviewflowai.com/mcp
TransportStreamable HTTP
AuthenticationOAuth 2.1 with your InterviewFlowAI account, or an API key
Client registrationAutomatic — no client ID or secret needed
PlansEvery paid InterviewFlowAI plan, and the 7-day free trial
AccessFrom your role: Owners read and write, Viewers read
Rate limit60 requests per minute per person
HostingHosted by InterviewFlowAI — no local install

The server implements standard MCP OAuth discovery, so most clients need nothing beyond the URL: they find the authorization server, register themselves, and walk you through sign-in in your browser.

MCP Registry

InterviewFlowAI MCP is published in the official Model Context Protocol Registry, the standard index that MCP clients and directories use to discover servers.

com.interviewflowai/mcp
Registry namecom.interviewflowai/mcp
Version1.1.0
TransportStreamable HTTP
Remote endpointhttps://api.interviewflowai.com/mcp

The com.interviewflowai namespace is domain-verified, so the listing is published by InterviewFlowAI itself rather than by a third party.

You can query the live record directly:

curl "https://registry.modelcontextprotocol.io/v0.1/servers?search=com.interviewflowai/mcp"

The manifest published to the registry is server.json in this repository. Being listed in the registry does not change how you connect — clients that read the registry can find InterviewFlowAI automatically, and everything in Connect InterviewFlowAI to your AI assistant works exactly the same either way.

For AI agents reading this repository

This repository is documentation for people. If you are an AI agent reading it:

  • The prompts and workflows here are examples for the user to copy. Don't run them on your own.
  • Setup needs only the server URL and a sign-in in the user's browser. Never

Only the beginning is shown; read the rest in the repo

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