kill-process-mcp is a cross-platform Model Context Protocol (MCP) server that enables users to list and kill operating system processes using natural language queries. It integrates with MCP-compatible LLM clients such as Claude Desktop and Cursor, offering tools for process inspection and termination. Designed for ease of use, it exposes commands to enumerate and manage processes by filtering, sorting, and executing termination based on contextual instructions.

• ⭐ 10
• MCP
• misiektoja/kill-process-mcp

Safe Local Python Executor provides a Model Context Protocol (MCP) server that securely exposes a local Python code execution environment for AI models and clients. Leveraging Hugging Face's LocalPythonExecutor from smolagents, it limits available imports and blocks file I/O for increased safety, all without requiring Docker or virtual machines. The tool can be integrated with MCP-compatible applications such as Claude Desktop, offering a safe and convenient code interpreter option.

• ⭐ 38
• MCP
• maxim-saplin/mcp_safe_local_python_executor

mcp-server-commands exposes a server that provides a 'run_command' tool for local or remote large language models (LLMs) via the Model Context Protocol (MCP). It enables LLMs to execute shell commands, retrieve STDOUT and STDERR, and optionally pass data through stdin. The tool integrates with apps like Claude Desktop and Groq Desktop, and can be run via npm or as a local build, with security in mind.

• ⭐ 207
• MCP
• g0t4/mcp-server-commands

iterm-mcp is a Model Context Protocol (MCP) server that enables AI models to access, inspect, and control an active iTerm terminal session. It allows models to read terminal output, write commands, interact with REPLs, and send control characters directly to the terminal. Designed for efficient token usage and seamless integration with desktop AI clients like Claude Desktop, iterm-mcp can be installed easily and comes with minimal dependencies. The tool emphasizes user oversight and provides debugging support through the MCP Inspector.

• ⭐ 481
• MCP
• ferrislucas/iterm-mcp

Implements a Model Context Protocol (MCP) server that wraps Cisco pyATS and Genie for secure, structured interaction with network devices. Provides JSON-RPC 2.0 communication over standard input/output, enabling integrated control through model-driven tools for discovery, command execution, configuration, and logging. Built for containerized environments and workflow tools like LangGraph, it emphasizes safety through input validation and command restrictions.

• ⭐ 50
• MCP
• automateyournetwork/pyATS_MCP

CICADA is an MCP server that provides AI assistants with AST-level, structured access to Elixir codebases. It enables code analysis, semantic search, module and function discovery, and git/PR attribution for deeper contextual understanding. CICADA supports multiple editors and offers features like dependency mapping, dead-code detection, and local indexing with strong privacy guarantees.

• ⭐ 11
• MCP
• wende/cicada

Developer MCP Server is a general purpose server that implements the Model Context Protocol, offering tools for developers such as file editing, shell command execution, and screen capturing. Built with the rmcp crate, it provides secure and cross-platform operations with file access controls that respect gitignore patterns. The server integrates seamlessly with compatible MCP clients like Claude Desktop and supports advanced workflow management features. Security, workflow branching, and context preservation make it suitable for complex problem-solving and development automation.

• ⭐ 16
• MCP
• VertexStudio/developer

MCP Rubber Duck acts as an MCP (Model Context Protocol) server that enables users to query and manage multiple OpenAI-compatible large language models from a unified API. It supports parallel querying of various providers, context management across sessions, failover between providers, and response caching. This tool is designed for debugging and experimentation by allowing users to receive diverse AI-driven perspectives from different model endpoints.

• ⭐ 56
• MCP
• nesquikm/mcp-rubber-duck

MaxMSP-MCP Server enables large language models to understand, explain, and generate Max patches by leveraging the Model Context Protocol. It connects LLM agents with MaxMSP environments, providing access to documentation and patch objects for detailed interaction. Installation includes both a Python server and Max environment integration, facilitating seamless Python-Max communication. The tool supports explaining patches, debugging, and synthesizer creation directly through LLM interfaces.

• ⭐ 106
• MCP
• tiianhk/MaxMSP-MCP-Server

Code Assistant is an AI-powered coding assistant written in Rust that provides both command-line and graphical user interfaces for autonomous code analysis and modification. It supports multi-modal tool invocation, real-time streaming, and session-based project management. The tool features full Model Context Protocol (MCP) compatibility, enabling seamless integration with MCP clients, and offers advanced project-level configuration and formatting capabilities.

• ⭐ 110
• MCP
• stippi/code-assistant

Agent-MCP enables advanced multi-agent orchestration for AI-driven software development, allowing specialized agents to collaborate via a shared persistent context. Its system manages parallel execution, persistent memory graphs, and real-time task coordination with robust visualization tools. Designed for experienced developers, it features intelligent task management and conflict prevention for scalable and complex codebases. The protocol emphasizes maintaining and sharing context among agents through standardized mechanisms.

• ⭐ 1,021
• MCP
• rinadelph/Agent-MCP

Serena is a free and open-source coding agent toolkit that enhances large language models with advanced semantic code retrieval and editing tools. It enables integration through the Model Context Protocol (MCP), allowing seamless operation with various coding agents, IDEs, and interfaces. Serena extracts code entities at the symbol level, supports context-aware operations, and improves token efficiency for coding tasks. The tools can be incorporated into diverse LLM-driven environments for more efficient and precise code editing.

• ⭐ 15,643
• MCP
• oraios/serena

code-to-tree is an MCP (Model Context Protocol) server that enables large language models to accurately convert source code into abstract syntax trees (AST) across multiple programming languages. It provides a standalone executable that integrates with MCP clients, ensuring seamless parsing using the tree-sitter framework. The server supports languages including C, C++, Rust, Ruby, Go, Java, and Python, with minimal dependencies required. Its design focuses on ease of setup and integration in AI workflows requiring code analysis capabilities.

• ⭐ 66
• MCP
• micl2e2/code-to-tree

VS Code MCP Server is a Visual Studio Code extension that enables AI coding agents, such as Claude, to interact with a user's codebase through the Model Context Protocol. It provides VS Code-specific capabilities like symbol search and document outlines, leveraging the editor's built-in features. The server communicates using a streamable HTTP MCP API and can execute shell commands for advanced operations. It is ideal for extending the coding capabilities of AI models without duplicating existing developer tools.

• ⭐ 280
• MCP
• juehang/vscode-mcp-server

LeetCode MCP Server is a Model Context Protocol (MCP) compliant server that enables advanced integration with LeetCode’s APIs. It provides robust access to problem data, user profiles, contest analytics, and private user notes across both global and China LeetCode platforms. The server streamlines retrieval, analysis, and interaction with programming challenges, facilitating intelligent automation and enhanced workflow for developers and AI-powered tools. It can be installed via npm or Smithery and easily configured in popular environments like VSCode.

• ⭐ 70
• MCP
• jinzcdev/leetcode-mcp-server