HRBlade MCP for AI. Manage the entire candidate pipeline from chat.
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HRBlade connects your AI agent to a full Applicant Tracking System suite. It lets you manage candidate pipelines, create custom video interview templates, schedule invitations by email, and review submitted responses—all without leaving your chat interface.
What your AI can do
Create interview
Builds a new interview template with specific questions and parameters.
Get candidate details
Retrieves all specific information about a single candidate in the pipeline.
List candidates
Gets a full list of all candidates currently tracked in your system.
See a list of every person currently in your hiring pipeline and view specific profile details.
Create structured templates for interviews, defining custom questions, time limits, and instructions.
Send personalized video interview links and invitations directly via email to specific prospects.
List every current or past interview template you've created for easy reference.
Retrieve a list of all recorded video responses, allowing you to evaluate candidate performance against the job requirements.
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HRBlade: 6 Tools for Recruiting Workflows
These tools let you build out complex recruitment workflows. You can create templates, find candidate data, list responses, and send invitations all through the MCP.
Make your AI actually useful.
Add this MCP to Claude, Cursor, or Windsurf and your AI stops guessing. It gets real tools to look things up, take action, and handle the stuff you keep doing by hand.
Start using HRBlade on VinkiusCreate Interview
Builds a new interview template with specific questions and parameters.
Get Candidate Details
Retrieves all specific information about a single candidate in the pipeline.
List Candidates
Gets a full list of all candidates currently tracked in your system.
List Interviews
Shows a list of all saved interview templates you have access to.
List Interview Responses
Retrieves and lists every recorded video response submitted by candidates for review.
Send Interview Invitation
Sends a personalized video interview invitation to one or more candidates via email.
Security and governance baked right in.
Pick your AI client below to get set up. Just create a Vinkius account, subscribe, and you're instantly up and running. We handle the entire backend infrastructure, delivering out-of-the-box support for HTTPS Streamable, SSE, and OAuth2—zero messy routing required.
Claude AI
Open Claude Settings
Go to claude.ai, click your profile icon, then navigate to Customize → Connectors.
Add Custom Connector
Click the "+" button and select Add custom connector. Paste your Vinkius endpoint URL:
https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp
Replace [YOUR_TOKEN_HERE] with your token
from cloud.vinkius.com. For OAuth-protected servers, expand
Advanced settings to add credentials.
Start a conversation
Open a new chat. The HRBlade integration is available immediately — no restart needed.
Choose How to Get Started
Build a custom MCP for your own tools, or connect a ready-made integration from our catalog.
Build Your Own
Turn any API into an MCP. Import a spec, define Agent Skills, or deploy with MCPFusion.
- Import from OpenAPI, Swagger, or YAML specs
- Create Agent Skills with progressive disclosure
- Deploy to edge with MCPFusion framework
- Built in DLP, auth, and compliance on every call
- Real time usage dashboard and cost metering
- Publish to catalog or keep private
Make Your AI Do More
Start with HRBlade, then connect any of our 5,100+ other servers whenever your AI needs more. One click, no limits.
- Use this MCP plus 5,100+ others, all in one place
- Add new capabilities to your AI anytime you want
- Every connection is secured and compliant automatically
- Track usage and costs across all your servers
- Works with Claude, ChatGPT, Cursor, and more
- New servers added to the catalog every week
Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by HRBlade. All third-party trademarks, logos, and brand names are the property of their respective owners. Their use on this website is strictly for informational purposes to identify service compatibility and interoperability.
VINKIUS INFRASTRUCTURE
Cloud Hosted
Managed infra
V8 Isolated
Sandboxed per request
Zero-Trust Proxy
No stored credentials
DLP Enforced
Policy on every call
GDPR Compliant
EU data residency
Token Compression
~60% cost reduction
Works with Claude, ChatGPT, Cursor, and more
The Model Context Protocol standardizes how applications expose capabilities to LLMs. Instead of operating in isolation, your AI gains direct access to external platforms, live data, and real-world actions through secure, standardized connections.
This connection provides 6 powerful capabilities that interface natively with Claude, ChatGPT, Cursor, and other compatible AI platforms. No middleware. No custom integration required.
Juggling Candidate Data and Interview Logistics Is Exhausting
Right now, you start by logging into the ATS to see who applied. Then you copy names into an email client to send out personalized invites. If you need to change the interview questions, you have to jump back into a separate template editor, update it, and then manually notify your team that the new version is live. It's constant context switching.
With this MCP, you keep everything in one chat window. You can ask your agent to create an entirely new set of questions using `create_interview` and immediately send out invites with those updated terms via `send_interview_invitation`. The process stays contained.
List Candidates: Get a Unified View of Your Talent Pool
Before, getting an overview meant running multiple reports—one for active leads, one for those who responded, and another just for people you've already interviewed. You had to piece together the data yourself.
Now, calling `list_candidates` gives you a single, updated source of truth for everyone in the pipeline. It’s the starting point that shows exactly where every person stands.
What your AI can actually do with this
Managing hiring can be slow. You spend hours juggling job boards, internal databases, and scheduling tools just to get a clear picture of where candidates stand. This MCP lets you do that work using natural conversation. Instead of switching between five different dashboards, your agent handles the entire process: finding potential talent, setting up technical interviews, sending personalized invitations, and pulling in recorded answers for review.
When you connect HRBlade through Vinkius, you give your AI client a full view of the hiring funnel. You can track every candidate's progress—from initial listing to final response evaluation—all from one place. It’s built for high-volume recruiting, letting teams scale their asynchronous interviewing process without adding administrative overhead.
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Here's how it actually works
The bottom line is, you talk to your agent like a recruiter and it runs the backend hiring workflow for you.
Subscribe to this MCP and enter your unique HRBlade API Key in the settings.
Authorize access from any compatible client. Your agent now sees the entire ATS data set.
Start giving commands—ask it to list candidates, create templates, or send invitations—and it executes the actions.
Who is this actually for?
This MCP is built for teams that process high volumes of applications. If you're an HR specialist tired of jumping between an ATS, email client, and scheduling tool, this is for you. It gives the power to manage complex candidate journeys without needing a dedicated administrator.
Creates new interview templates, sends out batch invitations, and reviews video responses without ever leaving the chat interface.
Evaluates candidate submissions by reviewing detailed responses and tracking pipeline movement through natural conversation.
Manages the overall volume of candidate screening, ensuring consistent processes for high-volume hiring cycles.
What Changes When You Connect
Stop switching tabs. Use your agent to send invitations and track candidates with send_interview_invitation—all without opening the main dashboard.
Streamline quality control by using create_interview to build specific templates; you define questions, time limits, and instructions upfront.
Evaluate performance quickly: The list_interview_responses tool lets you pull up all submitted videos for review, letting you compare answers easily.
Get a full picture of your funnel. Running list_candidates shows everyone in the pipeline, while get_candidate_details drills down into one person's history.
Maintain process consistency by using list_interviews to confirm all active templates are current before running a campaign.
See it in action
Need to assess 50 candidates quickly after a job opening.
The agent runs list_candidates to pull the names. Then, it uses create_interview to build a standardized 'Technical Screen' template and immediately runs send_interview_invitation for all 50 people at once.
A hiring manager needs to compare two candidates side-by-side.
The agent calls list_candidates to identify the pair. Then, it uses get_candidate_details and list_interview_responses for both records, grouping all submissions so the manager can make a direct comparison.
A recruiter needs to audit current interview processes.
The agent runs list_interviews first. Then, it checks if any templates are missing necessary questions or time limits before scheduling new interviews using create_interview.
The honest tradeoffs
Treating the MCP like a simple contact form.
Asking the agent, 'What's their status?' and getting only one static answer. This ignores the full data flow of responses or template creation.
For status updates, always start by running list_candidates to get the current cohort view, then follow up with get_candidate_details for deep context.
Trying to schedule interviews manually through chat.
Just telling the agent, 'Schedule an interview.' The system doesn't know what questions or format you need, so it fails.
You must first call list_interviews to check your templates. If none exist, use create_interview before attempting to schedule.
Assuming responses are available immediately after an invite is sent.
Running list_interview_responses right after calling send_interview_invitation. The tool will return empty data because the candidate hasn't acted yet.
Wait for a period, then run list_interview_responses to see the submitted videos. If nothing shows up, you can use other tools to send reminders or check details.
When It Fits, When It Doesn't
Use this MCP if your biggest bottleneck is coordinating information across multiple hiring stages—specifically listing candidates, creating standardized templates, and tracking video submissions. It's perfect when the process requires a structured workflow: Listing -> Defining -> Inviting -> Reviewing.
Don't use it if you only need to read static data (like just checking one profile). For that, simple database lookup tools are enough. If your primary job is complex financial modeling or legal compliance review, this MCP isn't built for that—you need a specialized finance or legal tool instead.
Questions you might have
How do I use list_candidates to see my full pool of applicants? +
Call list_candidates. This tool returns a comprehensive list of everyone in your pipeline, providing the initial overview you need to start any workflow.
Can I review old video responses using list_interview_responses? +
Yes. Use list_interview_responses to pull up all submitted videos across various templates so you can evaluate past performance data.
What is the first step for creating a new interview template? Does it require list_interviews? +
While you can use create_interview directly, running list_interviews first lets you check existing templates. This helps ensure your new design matches your company's established format.
If I send an invitation using send_interview_invitation, do I need to call get_candidate_details afterwards? +
No. send_interview_invitation handles the outreach. You only need get_candidate_details later if you want to pull specific information about that candidate's profile.
If I need to process a large number of applicants, how should I handle rate limits when calling list_candidates? +
The MCP handles standard API rate limiting automatically. For massive batches, you'll want to implement exponential backoff in your agent logic. This ensures calls slow down gracefully instead of failing completely.
When I call get_candidate_details, what happens if the candidate record is missing key information? +
The tool returns a clear error status rather than failing entirely. You'll receive all available fields, and any critical missing data will be marked as null or absent in the response object.
Does calling list_interviews require special permissions, or is it available to all connected agents? +
Access requires an API key associated with a valid HRBlade account. Your agent needs read scope permissions for this MCP tool to execute successfully.
If I use send_interview_invitation, what format must the candidate's email address be in? +
The system requires a standard, valid email format. Incorrectly formatted addresses will trigger a specific API error code indicating invalid input.
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.
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