assess_job_fit — Gabor Harsanyi Professional Knowledge MCP Tool
assess_job_fit
(assess job fit) is one of 5 tools on the
Gabor Harsanyi Professional Knowledge
MCP server. Connect the server and your client discovers it on the handshake.
by client
How to call assess_job_fit from your client
- Claude Code Gabor Harsanyi Professional Knowledge assess_job_fit run in your project directory
- Claude Desktop Gabor Harsanyi Professional Knowledge assess_job_fit ~/Library/Application Support/Claude/claude_desktop_config.json
- Cursor Gabor Harsanyi Professional Knowledge assess_job_fit ~/.cursor/mcp.json
- VS Code Gabor Harsanyi Professional Knowledge assess_job_fit .vscode/mcp.json
- Zed Gabor Harsanyi Professional Knowledge assess_job_fit ~/.config/zed/settings.json
- Windsurf Gabor Harsanyi Professional Knowledge assess_job_fit ~/.codeium/windsurf/mcp_config.json
- Cline Gabor Harsanyi Professional Knowledge assess_job_fit ~/Library/Application Support/Code/User/globalStorage/saoudrizwan.claude-dev/settings/cline_mcp_settings.json
- Gemini CLI Gabor Harsanyi Professional Knowledge assess_job_fit ~/.gemini/settings.json
- Grok Gabor Harsanyi Professional Knowledge assess_job_fit .mcp.json (in your project root)
- ChatGPT Gabor Harsanyi Professional Knowledge assess_job_fit Settings → Connectors → Advanced → Developer mode
- Claude.ai Gabor Harsanyi Professional Knowledge assess_job_fit Settings → Connectors → Add custom connector
- LangChain Gabor Harsanyi Professional Knowledge assess_job_fit pip install langchain-mcp-adapters
Fastest route
claude mcp add --transport http knowledge https://mcp.gaborharsanyi.me/mcpOther tools on this server
This list was read from the server itself, by connecting to it and calling tools/list on 29 October 2026. It is what
the server actually exposes, not what its listing claims.
Mutating and Read-only are read off each tool's name, not its schema — a hint, not a guarantee. The registry stores tool names only; connect the server for its live schemas.