MCPs tagged with # CLI tool

TOD is a command-line tool designed for OneDev 13+ that enhances development workflows with CI/CD job execution against local changes or specific branches and tags. It features a comprehensive Model Context Protocol (MCP) server for integrating and communicating with AI assistants, allowing intelligent and natural interactions with OneDev. The tool also supports pull request management and build specification migrations, making it a versatile utility for developers seeking automation and AI-driven enhancements.

• ⭐ 3
• MCP
• theonedev/tod

Bugsy provides a command-line interface for automatic remediation of security vulnerabilities in codebases. It integrates with popular SAST tools such as Checkmarx, Snyk, CodeQL, and Fortify to identify issues and generate fixes. Bugsy supports both direct scanning and analysis of pre-generated SAST reports, and also operates as a Model Context Protocol (MCP) server for AI assistant integrations. The tool enables developers to streamline the vulnerability fixing process and improve code security efficiently.

• ⭐ 60
• MCP
• mobb-dev/bugsy

Defang provides a command-line interface (CLI) and Model Context Protocol (MCP) Server that enable seamless deployment of applications from local development environments to the cloud. It supports integration with popular IDEs such as VS Code, Cursor, Windsurf, and Claude, allowing users to manage and deploy their workflows efficiently. Defang delivers secure, scalable deployments with built-in support for Docker Compose and Pulumi, and offers samples for Golang, Python, and Node.js projects. Its AI-powered features enable developers to generate and launch cloud services effortlessly.

• ⭐ 144
• MCP
• DefangLabs/defang

WebSearch-MCP is a Model Context Protocol (MCP) server that enables real-time web search capabilities for AI assistants through the stdio transport. It connects with a web crawler API to retrieve up-to-date search results and serves these results to AI models like Claude. The solution offers straightforward configuration and seamless integration with various MCP clients, enhancing AI model access to current and relevant external information.

• ⭐ 19
• MCP
• mnhlt/WebSearch-MCP

mcp-server-opendal is an implementation of the Model Context Protocol (MCP) that offers seamless access to a variety of storage services through Apache OpenDAL. It enables listing and reading files from services like S3, Azure Blob Storage, and Google Cloud Storage, while supporting environment variable-based configuration. The tool integrates with platforms such as Claude Desktop and can be easily configured using environment variables or a .env file.

• ⭐ 33
• MCP
• Xuanwo/mcp-server-opendal

MCP Mermaid enables dynamic generation of Mermaid diagrams and charts using AI via the Model Context Protocol (MCP). It supports all features and syntax of Mermaid, and can export diagrams in various formats including SVG, base64, and files. The server can be run locally or globally using different transport protocols such as stdio, SSE, or streamable, making it compatible with tools like Claude, VSCode, and Smithery. It provides customization for background color and theme, and validates output to ensure correct syntax and graphics.

• ⭐ 283
• MCP
• hustcc/mcp-mermaid

MCP ECharts enables dynamic generation of Apache ECharts visualizations through the Model Context Protocol, supporting interactions with AI models. It provides multiple transport options (stdio, SSE, streamable) and integrates with platforms like Claude, VSCode, and Smithery. The tool allows exporting charts in PNG, SVG, and option formats, with optional MinIO storage for enhanced sharing and performance. Featuring zero dependencies and local secure rendering, it is easily deployable and versatile for a range of visualization workflows.

• ⭐ 153
• MCP
• hustcc/mcp-echarts

CallCenter.js MCP + CLI provides an MCP server, command-line tool, and TypeScript API that enable AI assistants like Claude to make phone calls on behalf of users using VoIP systems. It bridges OpenAI's Real-Time Voice API with SIP-compatible devices or services, supporting real-time voice interactions through standardized models. The tool allows direct control through MCP clients, CLI, or programmatic interfaces to automate and manage voice calls seamlessly. It supports multiple codecs and is compatible with popular VoIP hardware and services.

• ⭐ 12
• MCP
• gerkensm/callcenter.js-mcp

MCP Server LeetCode provides a Model Context Protocol server interface to the LeetCode platform, allowing AI assistants to efficiently access LeetCode problems, user profiles, and contest information. The tool offers both a command-line interface and a programmable API for integration, supporting advanced queries and direct interaction with LeetCode resources. Comprehensive toolsets allow for searching problems, fetching daily challenges, and retrieving user and contest data. The server is designed for seamless integration with platforms such as Claude Desktop.

• ⭐ 33
• MCP
• doggybee/mcp-server-leetcode

tfmcp is a command-line tool that enables interaction with Terraform using the Model Context Protocol (MCP). It allows language models and AI assistants to analyze, manage, and operate Terraform environments programmatically, supporting operations such as configuration analysis, state management, and secure application of changes. The tool offers enterprise-grade security, audit logging, and flexible deployment options including Docker support. Designed for efficiency and seamless integration, tfmcp simplifies infrastructure automation workflows for both developers and AI systems.

• ⭐ 345
• MCP
• nwiizo/tfmcp

MCP Server Templates enables rapid, zero-configuration deployment of production-ready Model Context Protocol (MCP) servers using Docker containers and a comprehensive CLI tool. It provides a library of ready-made templates for common integrations—including filesystems, GitHub, GitLab, and Zendesk—and features intelligent caching, smart tool discovery, and flexible configuration options via JSON, YAML, environment variables, or CLI. Perfect for AI developers, data scientists, and DevOps teams, it streamlines the process of setting up and managing MCP servers and has evolved into the MCP Platform for enhanced capabilities.

• ⭐ 5
• MCP
• Data-Everything/mcp-server-templates