HrFlow.ai MCP Server for Windsurf 10 tools — connect in under 2 minutes
Windsurf brings agentic AI coding to a purpose-built IDE. Connect HrFlow.ai through Vinkius and Cascade will auto-discover every tool. ask questions, generate code, and act on live data without leaving your editor.
ASK AI ABOUT THIS MCP SERVER
Vinkius supports streamable HTTP and SSE.
Vinkius Desktop App
The modern way to manage MCP Servers — no config files, no terminal commands. Install HrFlow.ai and 2,500+ MCP Servers from a single visual interface.
{
"mcpServers": {
"hrflowai": {
"url": "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
}
}
}
* 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 HrFlow.ai MCP Server
Empower your AI agents with HrFlow.ai's advanced talent acquisition capabilities. This MCP server allows you to parse resumes, search profiles and jobs with semantic filters, score candidates against job descriptions, and ask natural language questions about profiles. Ideal for automating recruitment workflows with AI-driven insights.
Windsurf's Cascade agent chains multiple HrFlow.ai tool calls autonomously. query data, analyze results, and generate code in a single agentic session. Paste Vinkius Edge URL, reload, and all 10 tools are immediately available. Real-time tool feedback appears inline, so you see API responses directly in your editor.
The HrFlow.ai MCP Server exposes 10 tools through the Vinkius. Connect it to Windsurf in under two minutes — no API keys to rotate, no infrastructure to provision, no vendor lock-in. Your configuration, your data, your control.
How to Connect HrFlow.ai to Windsurf via MCP
Follow these steps to integrate the HrFlow.ai MCP Server with Windsurf.
Open MCP Settings
Go to Settings → MCP Configuration or press Cmd+Shift+P and search "MCP"
Add the server
Paste the JSON configuration above into mcp_config.json
Save and reload
Windsurf will detect the new server automatically
Start using HrFlow.ai
Open Cascade and ask: "Using HrFlow.ai, help me...". 10 tools available
Why Use Windsurf with the HrFlow.ai MCP Server
Windsurf provides unique advantages when paired with HrFlow.ai through the Model Context Protocol.
Windsurf's Cascade agent autonomously chains multiple tool calls in sequence, solving complex multi-step tasks without manual intervention
Purpose-built for agentic workflows. Cascade understands context across your entire codebase and integrates MCP tools natively
JSON-based configuration means zero code changes: paste a URL, reload, and all 10 tools are immediately available
Real-time tool feedback is displayed inline, so you see API responses directly in your editor without switching contexts
HrFlow.ai + Windsurf Use Cases
Practical scenarios where Windsurf combined with the HrFlow.ai MCP Server delivers measurable value.
Automated code generation: ask Cascade to fetch data from HrFlow.ai and generate models, types, or handlers based on real API responses
Live debugging: query HrFlow.ai tools mid-session to inspect production data while debugging without leaving the editor
Documentation generation: pull schema information from HrFlow.ai and have Cascade generate comprehensive API docs automatically
Rapid prototyping: combine HrFlow.ai data with Cascade's code generation to scaffold entire features in minutes
HrFlow.ai MCP Tools for Windsurf (10)
These 10 tools become available when you connect HrFlow.ai to Windsurf via MCP:
ask_profile
Asks a natural language question about a specific profile
list_boards
Lists job boards
list_jobs
Lists jobs stored in HrFlow boards
list_profiles
Lists candidate profiles stored in HrFlow
list_sources
Lists profile sources
parse_profile
Parses a resume file into a structured profile
score_profiles
Scores candidate profiles against a specific job
search_jobs
Searches for jobs with semantic filters
search_profiles
Searches for profiles with semantic filters
unfold_profile
Analyzes and unfolds the career path of a profile
Example Prompts for HrFlow.ai in Windsurf
Ready-to-use prompts you can give your Windsurf agent to start working with HrFlow.ai immediately.
"List the last 5 profiles added to my HrFlow source."
"Ask profile key 'abc-123' if they have experience with Kubernetes."
"Find jobs that match candidate 'john-doe-key'."
Troubleshooting HrFlow.ai MCP Server with Windsurf
Common issues when connecting HrFlow.ai to Windsurf through the Vinkius, and how to resolve them.
Server not connecting
HrFlow.ai + Windsurf FAQ
Common questions about integrating HrFlow.ai MCP Server with Windsurf.
How does Windsurf discover MCP tools?
mcp_config.json file on startup and connects to each configured server via Streamable HTTP. Tools are listed in the MCP panel and available to Cascade automatically.Can Cascade chain multiple MCP tool calls?
Does Windsurf support multiple MCP servers?
mcp_config.json. Each server's tools appear in the MCP panel and Cascade can use tools from different servers in a single flow.Connect HrFlow.ai with your favorite client
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Anthropic's agentic CLI for terminal-first development.
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Data-aware AI agent framework for structured and unstructured sources.
Microsoft's framework for multi-agent collaborative conversations.
Connect HrFlow.ai to Windsurf
Get your token, paste the configuration, and start using 10 tools in under 2 minutes. No API key management needed.