"Understanding Boss Mode" matching MCP servers:

MCP server for searching BOSS直聘 (Boss Zhipin) job listings. It provides a boss_search tool that supports multi-city queries, keyword filtering, and JSON output for AI agents.

Cross-platform MCP server providing Claude Code-style plan mode via four tools (enter_plan_mode, get_plan_mode_standards, todo_write, exit_plan_mode) with soft guidance through SKILL.md.

Integrates Xiaomi MiMo's multimodal API to enable understanding of images, audio, and video through natural language prompts.

Mechanical write gates, evidence receipts, and adversarial review for AI coding agents. Fable Mode enforces a Think → Prove → Attack → Write workflow before an agent earns permission to edit a workspace.

Provides structural, queryable understanding of a Python codebase via MCP tools, enabling direct lookups for callers, dependencies, and class hierarchies without repeated grep/read cycles.

Executes Python code in isolated rootless containers while proxying MCP server tools, reducing context overhead by 95%+ and enabling complex multi-tool workflows through sandboxed code execution.

Provides League of Legends mode-specific data including Arena augments, ARAM balance numbers, and mode mechanics, supporting both Chinese and English queries.

An MCP server that enables Claude to manage Emacs org-mode task lists, journal entries, and projects with token-efficient tools and visual approval via Emacs ediff.

The server facilitates natural language interactions for exploring and understanding codebases, providing insights into data models and system architecture using a cost-effective, simple setup with support for existing Claude Pro subscriptions.

Uses FastMCP and Playwright to search and filter jobs on Boss Zhipin, with login via QR code and filtering by keywords and publish date.

Local MCP server for BOSS Zhipin workflows. Exposes 49 tools for job search, welfare filtering, recruiter messaging, pipeline tracking, and resume optimization for AI agents.

An MCP server that analyzes local or remote GitHub repositories, providing intelligent code context and structure to AI coding assistants.

Deep code intelligence for MCP — an MCP server that gives AI agents semantic understanding of codebases via RAPTOR hierarchical indexing and code property graphs.

A Model Context Protocol server for deep codebase understanding of Python projects, focusing on data analysis and scientific computing. It provides architectural analysis, pattern detection, dependency mapping, test coverage analysis, and AI-optimized context generation.

MCP server for multimodal understanding and object grounding (bounding boxes) across images, videos, and documents, with support for multiple AI providers (Zhipu GLM-V, OpenAI GPT-4o, Anthropic Claude, or any OpenAI-compatible endpoint).

Enables interaction with the Boss直聘 recruitment platform to search for jobs and send automated greetings to recruiters. It features automatic QR code login and security verification using Playwright for seamless session management.

Provides MCP tools for job discovery, welfare filtering, resume and AI-assisted applications, and recruiter workflows across Chinese job platforms such as BOSS Zhipin, Zhilian, and 51job.

MCP server that gives AI agents deep code understanding across multiple git repositories, combining git lifecycle management, Zoekt-based trigram code search, and cross-repo dependency analysis.

Provides AI agents with 8 stress-relief tools like coffee breaks, Netflix watching, and bathroom breaks, featuring dynamic stress/boss alert level management with creative responses. Includes comprehensive testing suite and command-line parameter support for boss alertness configuration.

Local-first code indexer that provides deep code understanding for Claude and other LLMs with symbol/text search across 48+ languages, semantic search capabilities, and real-time index updates through the Model Context Protocol.