HrFlow.ai MCP Server for Claude Code 10 tools — connect in under 2 minutes
Claude Code is Anthropic's agentic CLI for terminal-first development. Add HrFlow.ai as an MCP server in one command and Claude Code will discover every tool at runtime. ideal for automation pipelines, CI/CD integration, and headless workflows via Vinkius.
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# Your Vinkius token. get it at cloud.vinkius.com
claude mcp add hrflowai --transport http "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.
Claude Code registers HrFlow.ai as an MCP server in a single terminal command. Once connected, Claude Code discovers all 10 tools at runtime and can call them headlessly. ideal for CI/CD pipelines, cron jobs, and automated workflows where HrFlow.ai data drives decisions without human intervention.
The HrFlow.ai MCP Server exposes 10 tools through the Vinkius. Connect it to Claude Code 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 Claude Code via MCP
Follow these steps to integrate the HrFlow.ai MCP Server with Claude Code.
Install Claude Code
Run npm install -g @anthropic-ai/claude-code if not already installed
Add the MCP Server
Run the command above in your terminal
Verify the connection
Run claude mcp to list connected servers, or type /mcp inside a session
Start using HrFlow.ai
Ask Claude: "Using HrFlow.ai, show me...". 10 tools are ready
Why Use Claude Code with the HrFlow.ai MCP Server
Claude Code provides unique advantages when paired with HrFlow.ai through the Model Context Protocol.
Single-command setup: `claude mcp add` registers the server instantly. no config files to edit or applications to restart
Terminal-native workflow means MCP tools integrate seamlessly into shell scripts, CI/CD pipelines, and automated DevOps tasks
Claude Code runs headlessly, enabling unattended batch processing using HrFlow.ai tools in cron jobs or deployment scripts
Built by the same team that created the MCP protocol, ensuring first-class compatibility and the fastest adoption of new protocol features
HrFlow.ai + Claude Code Use Cases
Practical scenarios where Claude Code combined with the HrFlow.ai MCP Server delivers measurable value.
CI/CD integration: embed HrFlow.ai tool calls in your deployment pipeline to validate configurations or fetch secrets before shipping
Headless batch processing: schedule Claude Code to query HrFlow.ai nightly and generate reports without human intervention
Shell scripting: pipe HrFlow.ai outputs into other CLI tools for data transformation, filtering, and aggregation
Infrastructure monitoring: run Claude Code in a cron job to query HrFlow.ai status endpoints and alert on anomalies
HrFlow.ai MCP Tools for Claude Code (10)
These 10 tools become available when you connect HrFlow.ai to Claude Code 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 Claude Code
Ready-to-use prompts you can give your Claude Code 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 Claude Code
Common issues when connecting HrFlow.ai to Claude Code through the Vinkius, and how to resolve them.
Command not found: claude
npm install -g @anthropic-ai/claude-codeConnection timeout
HrFlow.ai + Claude Code FAQ
Common questions about integrating HrFlow.ai MCP Server with Claude Code.
How do I add an MCP server to Claude Code?
claude mcp add --transport http "" in your terminal. Claude Code registers the server and discovers all tools immediately.Can Claude Code run MCP tools in headless mode?
How do I list all connected MCP servers?
claude mcp in your terminal to see all registered servers and their status, or type /mcp inside an active Claude Code session.Connect HrFlow.ai with your favorite client
Step-by-step setup guides for every MCP-compatible client and framework:
Anthropic's native desktop app for Claude with built-in MCP support.
AI-first code editor with integrated LLM-powered coding assistance.
GitHub Copilot in VS Code with Agent mode and MCP support.
Purpose-built IDE for agentic AI coding workflows.
Autonomous AI coding agent that runs inside VS Code.
Anthropic's agentic CLI for terminal-first development.
Python SDK for building production-grade OpenAI agent workflows.
Google's framework for building production AI agents.
Type-safe agent development for Python with first-class MCP support.
TypeScript toolkit for building AI-powered web applications.
TypeScript-native agent framework for modern web stacks.
Python framework for orchestrating collaborative AI agent crews.
Leading Python framework for composable LLM applications.
Data-aware AI agent framework for structured and unstructured sources.
Microsoft's framework for multi-agent collaborative conversations.
Connect HrFlow.ai to Claude Code
Get your token, paste the configuration, and start using 10 tools in under 2 minutes. No API key management needed.
