HrFlow.ai Connector for AI agents.
10 live capabilities
Automate candidate scoring and resume parsing for your talent acquisition workflow.
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Why people use HrFlow.ai
HrFlow.ai Resume Parsing for Faster Talent Acquisition
This Connector changes that by letting your agent do the heavy lifting. It pulls the data out of the resume and puts it into a format your agent can actually use to reason about the candidate. You get a clean shortlist instead of a mountain of files.
What Vinkius changes
That your AI agent handles the data extraction and matching so you can just pick the best people.
Use it from Claude, ChatGPT, Cursor or another AI client you already have.
One account · 6,100+ Connectors
- Real-world use case 01
Ranking a high volume of applicants
A recruiter has 200 resumes for a dev role.
- Real-world use case 02
Quickly checking specific experience
A hiring manager wants to know about a candidate's leadership.
- Real-world use case 03
Finding niche skills across sources
A company needs to find a niche skill across many sources.
Complete set · 10capabilities
The complete HrFlow.ai capability set.
These are the exact actions your AI can choose when you ask it to work with HrFlow.ai.
01—04
4 capabilities in this set.
Part of 10 available through HrFlow.ai.
- 01 Capability
Search jobs
Find specific jobs using semantic filters instead of just basic keyword matching. This finds the right roles even with slightly different naming.
- 02 Capability
Unfold profile
Analyze a candidate's career path to see how they moved between different roles and industries. This provides a deeper look at their progression.
- 03 Capability
Parse profile
Turn a raw resume file into a structured profile that your agent can actually read. This eliminates manual data entry for every new applicant.
- 04 Capability
Score profiles
Compare a group of candidates against a job description to get a numerical fit score. It helps you prioritize who to contact first.
05—07
3 capabilities in this set.
Part of 10 available through HrFlow.ai.
- 05 Capability
Search profiles
Look for candidates across your entire database using natural language search queries. It understands the context of your search terms.
- 06 Capability
Ask profile
Ask a natural language question about a specific profile to see if they have the right experience. This helps you skip the initial screening call for basic requirements.
- 07 Capability
List boards
Get a list of all job boards currently available in your HrFlow account. Use this to keep track of your active hiring locations.
08—10
3 capabilities in this set.
Part of 10 available through HrFlow.ai.
- 08 Capability
List jobs
See all the jobs you have stored across your various HrFlow boards. This gives you a bird's eye view of your open roles.
- 09 Capability
List profiles
Pull a list of all candidate profiles currently saved in your HrFlow system. It's the fastest way to see your total talent pool.
- 10 Capability
List sources
View the different sources where your candidate profiles are being pulled from. Use this to audit your talent pipeline.
Set up in minutes
One URL. Then ask HrFlow.ai to work.
Claude and ChatGPT only need the Connector URL. Copy it once, add it in settings, and use HrFlow.ai from the conversation.
Choose your client
Live previewAdvanced clients IDE · CLI
Claude · Web + desktop
Connector URL · ready to paste
Streamable HTTPhttps://edge.vinkius.com/vk_preview_I5AWktYKd6ZBeasEU5l62xtiXMSMlPPEd1gKq98S/mcp - Step 01
Open Connectors
In Claude Web or Claude Desktop, open Settings and choose Connectors.
- Step 02
Add the URL
Choose Add custom connector, name it HrFlow.ai, and paste the URL above.
- Step 03
Turn it on in chat
Select +, open Connectors, and enable HrFlow.ai for the conversation.
ChatGPT · Web + desktop
Connector URL · ready to paste
Streamable HTTPhttps://edge.vinkius.com/vk_preview_I5AWktYKd6ZBeasEU5l62xtiXMSMlPPEd1gKq98S/mcp - Step 01
Open MCP settings
On desktop, open Settings and MCP servers. On web, open your workspace app or connector settings.
- Step 02
Add the URL
Choose Add server with Streamable HTTP, or create a custom MCP app, then paste the HrFlow.ai URL.
- Step 03
Save and start
Save the connection and enable HrFlow.ai in your conversation. Desktop may ask you to restart once.
Cursor · IDE configuration
Advanced setup
{
"mcpServers": {
"hrflowai": {
"url": "https://edge.vinkius.com/vk_preview_I5AWktYKd6ZBeasEU5l62xtiXMSMlPPEd1gKq98S/mcp"
}
}
}- Step 01
Open MCP Settings
Press Cmd+Shift+P (macOS) or Ctrl+Shift+P (Windows/Linux) → search "MCP Settings"
- Step 02
Add the server config
Paste the JSON configuration above into the mcp.json file that opens
- Step 03
Save the file
Cursor will automatically detect the new Connector
- Step 04
Start using HrFlow.ai
Open Agent mode in chat and ask: "Using HrFlow.ai, help me...". 10 tools available
VS Code Copilot · IDE configuration
Advanced setup
{
"mcpServers": {
"hrflowai": {
"url": "https://edge.vinkius.com/vk_preview_I5AWktYKd6ZBeasEU5l62xtiXMSMlPPEd1gKq98S/mcp"
}
}
}- Step 01
Create MCP config
Create a .vscode/mcp.json file in your project root
- Step 02
Add the server config
Paste the JSON configuration above
- Step 03
Enable Agent mode
Open GitHub Copilot Chat and switch to Agent mode using the dropdown
- Step 04
Start using HrFlow.ai
Ask Copilot: "Using HrFlow.ai, help me...". 10 tools available
Windsurf · IDE configuration
Advanced setup
{
"mcpServers": {
"hrflowai": {
"url": "https://edge.vinkius.com/vk_preview_I5AWktYKd6ZBeasEU5l62xtiXMSMlPPEd1gKq98S/mcp"
}
}
}- Step 01
Open MCP Settings
Go to Settings → MCP Configuration or press Cmd+Shift+P and search "MCP"
- Step 02
Add the server
Paste the JSON configuration above into mcp_config.json
- Step 03
Save and reload
Windsurf will detect the new server automatically
- Step 04
Start using HrFlow.ai
Open Cascade and ask: "Using HrFlow.ai, help me...". 10 tools available
Cline · IDE configuration
Advanced setup
{
"mcpServers": {
"hrflowai": {
"url": "https://edge.vinkius.com/vk_preview_I5AWktYKd6ZBeasEU5l62xtiXMSMlPPEd1gKq98S/mcp"
}
}
}- Step 01
Open Cline MCP Settings
Click the Connectors icon in the Cline sidebar panel
- Step 02
Add remote server
Click "Add Connector" and paste the configuration above
- Step 03
Enable the server
Toggle the server switch to ON
- Step 04
Start using HrFlow.ai
Ask Cline: "Using HrFlow.ai, help me...". 10 tools available
Claude Code · Terminal command
Advanced setup
claude mcp add hrflowai --transport http "https://edge.vinkius.com/vk_preview_I5AWktYKd6ZBeasEU5l62xtiXMSMlPPEd1gKq98S/mcp"- Step 01
Install Claude Code
Run npm install -g @anthropic-ai/claude-code if not already installed
- Step 02
Add the Connector
Run the command above in your terminal
- Step 03
Verify the connection
Run claude mcp to list connected servers, or type /mcp inside a session
- Step 04
Start using HrFlow.ai
Ask Claude: "Using HrFlow.ai, show me...". 10 tools are ready
Where the request belongs
Work HrFlow.ai can move forward.
Recruitment managers and HR ops leads who are drowning in resumes and need a way to filter talent without manual clicking.
Talent Acquisition Specialist
Uses this to quickly rank 50+ applicants for a high-priority engineering role on a Tuesday afternoon.
HR Operations Manager
Uses this to organize job boards and centralize profile sources into one searchable database.
Hiring Manager
Uses this to ask specific questions about a candidate's past experience before booking an interview.
Build the capability set
Add more capabilities.
Each Connector adds new actions and data without changing how you work.
Browse ConnectorsGreenhouse
Manage your recruiting pipeline via Greenhouse. list candidates, track applications, and audit jobs directly via AI.
Wizehire
Manage candidates, job postings, and hiring stages via Wizehire directly from your AI agent.
Pinpoint
Automate recruitment and talent acquisition via Pinpoint. manage jobs, applications, candidates, and interviews directly from any AI agent.
Breezy HR
Manage your recruitment process via Breezy HR. track candidates, positions, and stages directly from any AI agent.
Ninehire
Hire smarter with a recruitment platform that posts jobs, screens applicants, and moves the best candidates through your pipeline.
Fountain
Automate high-volume hiring, manage applicant funnels, and track hiring goals via AI agents with Fountain.
Bring your own AI
Change the model, client or framework. Keep HrFlow.ai connected.
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Claude -
ChatGPT -
Gemini -
Cursor -
VS Code -
Windsurf -
ZCode -
Cline -
Zed -
Continue -
Kiro -
Roo Code -
Zencoder -
Goose -
Void -
Augment Code -
Amp -
Qodo -
Tabnine -
Pieces -
Sourcegraph Cody -
JetBrains -
Warp -
Amazon Q -
Antigravity -
BoltAI -
Raycast -
Jan -
LM Studio -
AnythingLLM -
Open WebUI -
Msty -
Cherry Studio -
LibreChat -
TypingMind -
Chorus -
5ire -
n8n -
LangChain -
LlamaIndex -
CrewAI -
Vercel AI SDK
Before you connect
Questions about HrFlow.ai.
The practical details behind the request, access and result.
How does HrFlow.ai help my recruitment team save time?
It automates the manual data entry of reading resumes. Instead of a human typing out details from a PDF, your AI agent parses the file into a structured format instantly, allowing your team to focus on interviewing.
Can I use HrFlow.ai to rank my applicants?
Yes, you can have your AI agent score every candidate against a specific job description. It gives you a clear ranking based on how well their experience actually matches your requirements.
Does HrFlow.ai support natural language searching for candidates?
Yes, it uses semantic search. This means you can ask your agent to find people with specific skills or backgrounds using normal sentences, and it will find the best matches even if they don't use exact keywords.
How does HrFlow.ai handle resume parsing?
It takes raw resume files and turns them into structured profiles. This makes the information searchable and allows your AI agent to reason about a candidate's skills and history much more accurately.
Can I ask specific questions about a candidate's history using HrFlow.ai?
Absolutely. You can ask your AI agent to check for specific things, like whether a candidate managed a team or worked in a specific industry, and it will find that information within their profile for you.
Is HrFlow.ai good for high-volume hiring?
It's ideal for high-volume hiring because it handles the heavy lifting of initial screening. It can process hundreds of resumes and rank them in seconds, so your team only sees the most qualified people.
How do I get HrFlow API credentials?
You can find your X-API-KEY in the HrFlow dashboard under Settings > API. You also need the email address of your account.
Can I parse PDF resumes with this Connector?
Yes, the parse_profile capability allows you to provide a public URL to a resume file for AI parsing.
What is profile asking?
It's an AI feature that lets you ask questions about a candidate's profile in plain English and get intelligent answers based on their data.
Can I parse PDF resumes with this MCP?
Yes, the parse_profile capability allows you to provide a public URL to a resume file for AI parsing.
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