get_job_preferences — AI Blocks MCP Tool Read-only
get_job_preferences
(get job preferences) is one of 22 tools on the
AI Blocks
MCP server. Connect the server and your client discovers it on the handshake.
by client
How to call get_job_preferences from your client
- Claude Code AI Blocks get_job_preferences run in your project directory
- Claude Desktop AI Blocks get_job_preferences ~/Library/Application Support/Claude/claude_desktop_config.json
- Cursor AI Blocks get_job_preferences ~/.cursor/mcp.json
- VS Code AI Blocks get_job_preferences .vscode/mcp.json
- Zed AI Blocks get_job_preferences ~/.config/zed/settings.json
- Windsurf AI Blocks get_job_preferences ~/.codeium/windsurf/mcp_config.json
- Cline AI Blocks get_job_preferences ~/Library/Application Support/Code/User/globalStorage/saoudrizwan.claude-dev/settings/cline_mcp_settings.json
- Gemini CLI AI Blocks get_job_preferences ~/.gemini/settings.json
- Grok AI Blocks get_job_preferences .mcp.json (in your project root)
- ChatGPT AI Blocks get_job_preferences Settings → Connectors → Advanced → Developer mode
- Claude.ai AI Blocks get_job_preferences Settings → Connectors → Add custom connector
- LangChain AI Blocks get_job_preferences pip install langchain-mcp-adapters
Fastest route
claude mcp add --transport http library https://useaiblocks.com/mcpOther tools on this server
- start_outcome
- advance_outcome
- record_outcome_decision
- record_outcome_experiment
- read_back_outcome_experiment
- prepare_outcome_pattern
- prepare_job_context
- start_job
- advance_job
- get_approaches
- get_job_templates
- set_job_preferences
- find_specialist
- prepare_specialist
- search_library
- plan_workflow
- get_resource
- prepare_workflow
- get_item
- search
- fetch
This list was read from the server itself, by connecting to it and calling tools/list on 14 November 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.