Code graph context engine that parses codebases with tree-sitter (170+ languages), builds structural dependency graphs, and provides 24 MCP tools for code intelligence. One prepare_context call gives your AI agent the right files for any task. Includes focus, blast radius, hotspots, dead code detection, and hybrid search.
A Model Context Protocol (MCP) server that provides AI agents with comprehensive temporal awareness and time calculation capabilities.
Provides mathematical operations (expression evaluation, arithmetic, advanced calculations) through MCP, backed by Temporal workflows for reliability and durability. Demonstrates integration between Model Context Protocol tools and Temporal's Nexus RPC framework with full observability.
An MCP server for Tendem that enables users to complete tasks using a hybrid of AI and human agents. It allows for seamless task delegation and management within MCP-compatible clients.
Provides intelligent code context aggregation using NLP-based ranking (BM25, TF-IDF, embeddings) and automatically injects guiding principles (coding standards, architecture rules) into every prompt to maintain consistency across AI conversations.
公开目录未提供摘要。
Provides secure access to Tennis Warehouse product data, enabling users to search for tennis equipment (racquets, bags, shoes), check product availability, find deals, and browse categories through natural language queries while protecting internal API details.
Enables AI-powered image and video generation through the TensorsLab API using models like SeeDream and SeeDance. It supports tasks such as creating high-resolution media from text prompts, image-to-video conversion, and monitoring generation status.
Connects to the Tentahead API to facilitate campsite searching and group trip planning for Illinois state parks. It provides live availability, weather forecasts, safety alerts, and EV charging data to streamline outdoor adventure planning.
Memory for AI coding agents. Persistent code graph + AI architecture diagrams. 32 MCP tools
Execute commands and manage interactive shell sessions directly within your environment. Automate complex command-line workflows by monitoring output, handling interactive inputs, and managing sessio…
- 安装状态
- 已补齐
命令预览
npx -y smithery mcp add pungggi/smart-terminal
A VSCode and Cursor extension that captures real-time terminal output and exposes it to AI assistants via the Model Context Protocol. It enables agents to proactively monitor logs, command execution, and errors without requiring manual copy-pasting from the user.
A secure and pluggable MCP server to run terminal commands on your local machine or cloud server — remotely, safely, and with LLMs or agentic clients.
Enables execution of shell commands through a terminal tool with working directory support and timeout protection. Also provides access to MCP documentation as a resource.
Enables safe execution of terminal commands across different shells (bash, cmd, PowerShell) with configurable timeouts, working directories, and resource limits for command-line operations through AI assistants.
全面解析Terminal Task TrackerMCP Server的核心功能、安装配置和实用案例。作为顶级Model Context Protocol服务器,Terminal Task Tracker能让AI助手访问实时数据、执行操作,为您提供更智能的工作体验和自动化解决方案。
- 安装状态
- 已补齐
命令预览
pip install -e .
Provides AI assistants with direct terminal access to execute commands, manage files, and run persistent REPL sessions. It features automated installation scripts that educate AI assistants on its capabilities for seamless integration.
Enables AI agents to monitor and read Android notifications in real-time via Termux. Provides access to current notifications with filtering capabilities and real-time streaming of new notifications as they arrive.
An MCP server for Tern that enables the generation, verification, and management of webhook handlers across over 16 platforms and various frameworks. It provides tools to create verified endpoints, debug signature failures, and manage failed event replays via dead letter queues.
Enables LLMs to configure the TerraAPI dashboard by managing health and fitness integrations, destinations, and provider credentials. It allows users to programmatically interact with the Terra ecosystem to handle developer settings and data source configurations.

