Indexes repositories into a queryable code graph for CLI analysis and MCP-based AI context.
Key Features: Code indexing into a knowledge graph MCP access for AI assistants CLI-based repository analysis MCP server enabling secure remote SSH command execution on Linux and Windows with password or key authentication.
Key Features: MCP-compliant SSH command execution Supports password and SSH key authentication Execute commands with sudo or su elevation Access LeetCode problems, searches, public profiles, submissions, rankings, and community solutions through MCP.
Key Features: Searches problems with filters and pagination Retrieves problem statements and daily challenges Supports leetcode.com and leetcode.cn Autonomous spec-to-product coding-agent CLI with an MCP server exposing 34 tools over stdio.
Delegates file analysis, repository searches, web lookups, and code reviews to Antigravity through MCP.
Key Features: Six purpose-built MCP delegation tools Quota-aware model failover with cooldowns Multi-turn session continuity Manage files, run terminal commands, and edit code/text with AI via a local MCP server supporting rich file formats and process control.
Key Features: Execute code in memory (Python, Node.js, R) without saving files Visual file previews with markdown rendering and inline images Native support for Excel, PDF, and DOCX file formats Automates Windows desktop and browser tasks through accessibility APIs, UI controls, workflow recording, and structured inspection.
Key Features: Windows accessibility-based UI control Browser automation through a Chrome extension Workflow recording and replay support Runs local shell commands and file-editing workflows through MCP for coding tasks on macOS, Linux, and WSL.
Key Features: Interactive shell command execution with timeouts Background and concurrent command support Read-before-edit file protection Wraps Claude Code CLI in MCP tools for coding tasks, web research, structured JSON, sessions, and cost-controlled execution.
Key Features: Claude Code CLI exposed through MCP Schema-validated JSON output Session resume and session metadata Coordinates AI agents with shared project context, task tracking, messaging, and retrieval-augmented project queries.
Key Features: Multi-agent lifecycle management Task assignment and status tracking Persistent project context and RAG queries Runs Warp Oz local and cloud agents through MCP, with run tracking and model selection for supported clients.
Key Features: Local Warp Oz agent execution Run status, output, and history access Delegates repository coding tasks to Z.ai GLM through four MCP tools, with routing, dry runs, progress, and usage tracking.
Key Features: Repository-level GLM agent loop Read, write, edit, list, and Bash tools Dry-run diff preview and Git revert guidance