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  3. Aiia MCP Server
Aiia MCP Server logo
Health: ActiveRecent health check succeeded.Last checked 9/9/2026, 11:18:15 AM

Aiia MCP Server

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View RepositoryVisit Website
recruitinginterviewscv-parsingschedulingvoice-ai

MCP server for AI Interview Agents to manage roles, parse CVs, schedule interviews, and read scored reports with transcripts.

Quick Install

Automated & IDE Setup

Copy the AI prompt to install this server into Claude Code, Cursor, or another agent β€” or use 1-click editor setup below.

One-click editor setup isn’t available for this listing yet β€” we don’t have a confirmed install command, and we’d rather show nothing than point your editor at the wrong package or host. Follow the project’s own setup instructions, linked above.

Manual Client & Custom JSON ConfigExpand JSON β–Ύ
No confirmed setup config for this listing yet. We only publish a config block when the install details come from the project itself β€” its README, its docs, or a verified owner. We haven’t found those for dpkdhingra91/aiia-mcp-server, and we’d rather show nothing than a guess you’d paste into your client. Follow the project’s own setup instructions for the current steps.
Install Directory Badge Claim listing Alternatives🏒 More in Workplace & Productivity

Overview

This MCP server enables AI Interview Agents clients to manage recruiting workflows via natural language. It supports creating job roles, parsing and normalizing candidate CVs, scheduling and managing voice interviews, sending reminders, and retrieving scored interview reports with transcripts. The live voice interview is handled by a separate service; this server triggers interviews and reads results. It supports English, Hindi, and other Indian languages.

Use cases

β€’Create and list job roles from descriptions
β€’Parse and normalize candidate CVs and contact details
β€’Schedule, reschedule, cancel, and preview interviews
β€’Send interview reminders to candidates
β€’Retrieve scored interview reports with transcripts

Key features

β€’Role management from job descriptions
β€’Candidate CV parsing and normalization
β€’Interview scheduling with dry-run preview
β€’Interview reminder sending
β€’Access to scored reports and transcripts
β€’Supports multiple Indian languages

Capabilities & Tool Schemas

Inspect callable tools, capabilities, and parameters exposed to AI agents by Aiia MCP Server.

Extracted Tool Capabilities
Role management from job descriptions
Candidate CV parsing and normalization
Interview scheduling with dry-run preview
Interview reminder sending
Access to scored reports and transcripts
Supports multiple Indian languages

Documentation Overview

AI Interview Agents β€” MCP Server

aiia-mcp-server MCP server

The official Model Context Protocol server for AI Interview Agents, a voice-AI hiring platform. It lets any MCP client (Claude, Cursor, custom agents) drive the recruiting workflow in natural language: create roles, screen CVs, schedule and manage candidate interviews, and read back scored reports with transcripts.

The live voice interview itself is out of scope here (that runs on a separate real-time service). This server triggers interviews and reads back the results.

What it exposes

  • Roles β€” list your roles, or create one from a job description.
  • Candidates & CVs β€” parse dropped CV/PDF files, normalize messy pasted candidate lists (names, emails, phone numbers, experience, skills), and reassign candidates between roles.
  • Interviews β€” schedule interviews (with a dry_run mode that normalizes and previews without sending anything or consuming quota), reschedule, cancel, and send reminders.
  • Reports β€” read the candidate pipeline and pull back scored interview reports with transcripts.

Use the hosted server (recommended)

The server runs remotely with OAuth sign-in. Point any Streamable-HTTP MCP client at:

config.json
{
  "mcpServers": {
    "ai-interview-agents": {
      "type": "streamable-http",
      "url": "https://mcp.aiinterviewagents.com/mcp"
    }
  }
}

Your client discovers the auth flow automatically via /.well-known/oauth-protected-resource and signs you in with your AI Interview Agents account. It is also listed in the official MCP Registry as com.aiinterviewagents/interviews.

Run it locally (stdio)

Terminal
pip install -e .
export AIIA_FIREBASE_TOKEN="<your token>"   # or: aiia-mcp login
aiia-mcp

AIIA_BACKEND_URL overrides the API base if you are pointing at your own deployment.

How auth works

The server holds no account secrets. Each request carries the user's own Firebase ID token, forwarded to the backend as a bearer token β€” the same trust path as the web app. For the hosted transport, an OAuth layer (dynamic client registration + PKCE) bridges MCP clients to Firebase sign-in.

Development

Terminal
pip install -e ".[dev]"
pytest
ruff check .

License

MIT β€” see LICENSE.

Read the full README β†’View source on GitHub β†’

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Adoption & maintenance

Factual signals from GitHub, npm, and our automated checks β€” not a rating.

Last commit
2mo ago
Most recent push to the default branch.
Directory activity
2 views
Config copies, upvotes, and views on AllMCPs.

Reviews

No reviews yet β€” be the first to share how this listing worked for you.

Frequently Asked Questions about Aiia MCP Server

No, live voice interviews run on a separate real-time service; this server only triggers interviews and reads back results.

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Technical Specs & Signals

Category🏒Workplace & Productivity
PricingFreemium
More technical detailsExpand β–Ύ
AuthOAuth
LicenseMIT
ClientsClaude Desktop, Cursor
Last updatedAug 9, 2026
Views2
Unique ViewsTotal visits recorded for this listing page on AllMCPs.
Installs0
Installs & Copy ActionsTotal times users copied install commands or configuration snippets for this server.
GitHub stars0
GitHub Star CountTotal stargazers on GitHub representing community popularity (0 stars).
Last commit2mo ago
Last Repository CommitThe most recent commit or push recorded for this server's GitHub repository.Last commit on Jul 6, 2026
43Quality signal: Fair Β· 43/100How this signal is calculated β–Ύ
Server availabilityNot measured

Not scored for repo-hosted servers β€” we can't reach the running server, only its GitHub page. Hosted MCP endpoints are health-checked live.

Verified ownership10/20
Documentation & tools20/30
Adoption & activity2/15
Community engagement0/10

A guidance signal from public completeness & health data β€” not a user rating. New listings start lower and rise as they add docs, get verified, and grow adoption. Signals we can't observe for a listing are skipped, not counted against it.

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