job_counts — aitrainers.jobs: AI training jobs search MCP Tool
job_counts
(job counts) is one of 2 tools on the
aitrainers.jobs: AI training jobs search
MCP server. Connect the server and your client discovers it on the handshake.
by client
How to call job_counts from your client
- Claude Code aitrainers.jobs: AI training jobs search job_counts run in your project directory
- Claude Desktop aitrainers.jobs: AI training jobs search job_counts ~/Library/Application Support/Claude/claude_desktop_config.json
- Cursor aitrainers.jobs: AI training jobs search job_counts ~/.cursor/mcp.json
- VS Code aitrainers.jobs: AI training jobs search job_counts .vscode/mcp.json
- Zed aitrainers.jobs: AI training jobs search job_counts ~/.config/zed/settings.json
- Windsurf aitrainers.jobs: AI training jobs search job_counts ~/.codeium/windsurf/mcp_config.json
- Cline aitrainers.jobs: AI training jobs search job_counts ~/Library/Application Support/Code/User/globalStorage/saoudrizwan.claude-dev/settings/cline_mcp_settings.json
- Gemini CLI aitrainers.jobs: AI training jobs search job_counts ~/.gemini/settings.json
- Grok aitrainers.jobs: AI training jobs search job_counts .mcp.json (in your project root)
- ChatGPT aitrainers.jobs: AI training jobs search job_counts Settings → Connectors → Advanced → Developer mode
- Claude.ai aitrainers.jobs: AI training jobs search job_counts Settings → Connectors → Add custom connector
- LangChain aitrainers.jobs: AI training jobs search job_counts pip install langchain-mcp-adapters
Fastest route
claude mcp add --transport http search https://aitrainers.jobs/mcpOther tools on this server
This list was read from the server itself, by connecting to it and calling tools/list on 27 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.