Can I create an interview template and send invitations to candidates?

Yes. Use `create_interview` with a JSON payload containing the title, description, and an array of questions. Then use `send_interview_invitation` with the candidate's email, first name, last name, and the interview ID. The candidate will receive an email with a link to record their video responses.

Can I review all video responses submitted by candidates?

Yes. The `list_interview_responses` tool retrieves all submitted video responses with candidate details, interview template reference, and submission timestamps. Use `get_candidate_details` to inspect a specific candidate's full profile and response history.

How does asynchronous video interviewing work with HRBlade?

HRBlade enables one-way video interviews where candidates record responses at their own pace. You create a template with questions, send an invitation, and the candidate records video answers through a web link. You can then review all responses asynchronously without scheduling live calls. Use `list_interviews` to see all templates and `list_candidates` to track your pipeline.

INSTANT PLUG AND PLAY

HRBlade MCP Server for CrewAIGive CrewAI instant access to 6 tools to Create Interview, Get Candidate Details, List Candidates, and more

Name: HRBlade
Availability: InStock
Author: Vinkius

Built by Vinkius GDPR 6 Tools Framework

Connect your CrewAI agents to HRBlade through Vinkius, pass the Edge URL in the `mcps` parameter and every HRBlade tool is auto-discovered at runtime. No credentials to manage, no infrastructure to maintain.

Use with Your AI Agent

Ask AI about this App Connector for CrewAI

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The HRBlade app connector for CrewAI is a standout in the Productivity category — giving your AI agent 6 tools to work with, ready to go from day one.

Vinkius delivers Streamable HTTP and SSE to any MCP client

python

from crewai import Agent, Task, Crew

agent = Agent(
    role="HRBlade Specialist",
    goal="Help users interact with HRBlade effectively",
    backstory=(
        "You are an expert at leveraging HRBlade tools "
        "for automation and data analysis."
    ),
    # Your Vinkius token. get it at cloud.vinkius.com
    mcps=["https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"],
)

task = Task(
    description=(
        "Explore all available tools in HRBlade "
        "and summarize their capabilities."
    ),
    agent=agent,
    expected_output=(
        "A detailed summary of 6 available tools "
        "and what they can do."
    ),
)

crew = Crew(agents=[agent], tasks=[task])
result = crew.kickoff()
print(result)

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* Every MCP server runs on Vinkius-managed infrastructure inside AWS - a purpose-built runtime with per-request V8 isolates, Ed25519 signed audit chains, and sub-40ms cold starts optimized for native MCP execution. See our infrastructure

About HRBlade MCP Server

Connect your HRBlade account to any AI agent and manage asynchronous video interviews through natural conversation.

When paired with CrewAI, HRBlade becomes a first-class tool in your multi-agent workflows. Each agent in the crew can call HRBlade tools autonomously, one agent queries data, another analyzes results, a third compiles reports, all orchestrated through Vinkius with zero configuration overhead.

What you can do

Interview Templates — List all interview templates and create new ones with custom questions, time limits, and instructions
Candidate Invitations — Send video interview invitations to candidates by email with personalized details
Candidate Management — Browse all candidates in your pipeline and inspect individual profiles with status
Response Review — List all submitted video responses to review candidate answers and evaluate performance

The HRBlade MCP Server exposes 6 tools through the Vinkius. Connect it to CrewAI in under two minutes — no API keys to rotate, no infrastructure to provision, no vendor lock-in. Your configuration, your data, your control.

All 6 HRBlade tools available for CrewAI

When CrewAI connects to HRBlade through Vinkius, your AI agent gets direct access to every tool listed below — spanning video-interviewing, candidate-screening, hiring-pipeline, and more. Every call is secured with network, filesystem, subprocess, and code evaluation entitlements inside a sandboxed runtime. Beyond a simple connection, you get a full AI Gateway with real-time visibility into agent activity, enterprise governance, and optimized token usage.

create_interview

Pass data as a JSON string. Create a new interview template

get_candidate_details

Get specific candidate details

list_candidates

List all recruiting candidates

list_interview_responses

List all candidate video responses

list_interviews

List all interview templates

send_interview_invitation

Pass data as a JSON string. Send an invitation to a candidate

Connect HRBlade to CrewAI via MCP

Follow these steps to wire HRBlade into CrewAI. The entire setup takes under two minutes — your credentials stay safe behind the Vinkius.

Install CrewAI

Run pip install crewai

Replace the token

Replace [YOUR_TOKEN_HERE] with your Vinkius token from cloud.vinkius.com

Customize the agent

Adjust the role, goal, and backstory to fit your use case

Run the crew

Run python crew.py. CrewAI auto-discovers 6 tools from HRBlade

Why Use CrewAI with the HRBlade MCP Server

CrewAI Multi-Agent Orchestration Framework provides unique advantages when paired with HRBlade through the Model Context Protocol.

Multi-agent collaboration lets you decompose complex workflows into specialized roles, one agent researches, another analyzes, a third generates reports, each with access to MCP tools

CrewAI's native MCP integration requires zero adapter code: pass Vinkius Edge URL directly in the `mcps` parameter and agents auto-discover every available tool at runtime

Built-in task delegation and shared memory mean agents can pass context between steps without manual state management, enabling multi-hop reasoning across tool calls

Sequential and hierarchical crew patterns map naturally to real-world workflows: enumerate subdomains → analyze DNS history → check WHOIS records → compile findings into actionable reports

HRBlade + CrewAI Use Cases

Practical scenarios where CrewAI combined with the HRBlade MCP Server delivers measurable value.

Automated multi-step research: a reconnaissance agent queries HRBlade for raw data, then a second analyst agent cross-references findings and flags anomalies. all without human handoff

Scheduled intelligence reports: set up a crew that periodically queries HRBlade, analyzes trends over time, and generates executive briefings in markdown or PDF format

Multi-source enrichment pipelines: chain HRBlade tools with other MCP servers in the same crew, letting agents correlate data across multiple providers in a single workflow

Compliance and audit automation: a compliance agent queries HRBlade against predefined policy rules, generates deviation reports, and routes findings to the appropriate team

Example Prompts for HRBlade in CrewAI

Ready-to-use prompts you can give your CrewAI agent to start working with HRBlade immediately.

"Create a 'Senior Developer' interview with 3 technical questions and send it to 2 candidates."

"Show all candidates in my pipeline and the latest video responses."

"List all interview templates and show which ones have pending responses to review."

Troubleshooting HRBlade MCP Server with CrewAI

Common issues when connecting HRBlade to CrewAI through the Vinkius, and how to resolve them.

MCP tools not discovered

Ensure the Edge URL is correct. CrewAI connects lazily when the crew starts. check console output.

Agent not using tools

Make the task description specific. Instead of "do something", say "Use the available tools to list contacts".

Timeout errors

CrewAI has a 10s connection timeout by default. Ensure your network can reach the Edge URL.

Rate limiting or 429 errors

Vinkius enforces per-token rate limits. Check your subscription tier and request quota in the dashboard. Upgrade if you need higher throughput.

HRBlade + CrewAI FAQ

Common questions about integrating HRBlade MCP Server with CrewAI.

How does CrewAI discover and connect to MCP tools?

CrewAI connects to MCP servers lazily. when the crew starts, each agent resolves its MCP URLs and fetches the tool catalog via the standard tools/list method. This means tools are always fresh and reflect the server's current capabilities. No tool schemas need to be hardcoded.

Can different agents in the same crew use different MCP servers?

Yes. Each agent has its own mcps list, so you can assign specific servers to specific roles. For example, a reconnaissance agent might use a domain intelligence server while an analysis agent uses a vulnerability database server.

What happens when an MCP tool call fails during a crew run?

CrewAI wraps tool failures as context for the agent. The LLM receives the error message and can decide to retry with different parameters, fall back to a different tool, or mark the task as partially complete. This resilience is critical for production workflows.

Can CrewAI agents call multiple MCP tools in parallel?

CrewAI agents execute tool calls sequentially within a single reasoning step. However, you can run multiple agents in parallel using process=Process.parallel, each calling different MCP tools concurrently. This is ideal for workflows where separate data sources need to be queried simultaneously.

Can I run CrewAI crews on a schedule (cron)?

Yes. CrewAI crews are standard Python scripts, so you can invoke them via cron, Airflow, Celery, or any task scheduler. The crew.kickoff() method runs synchronously by default, making it straightforward to integrate into existing pipelines.