Serena provides essential semantic code retrieval, editing, refactoring, and debugging tools, akin to an IDE's capabilities, operating at the symbol level. It integrates with any client/LLM via the Model Context Protocol (MCP), allowing agents to operate faster, more efficiently, and reliably, especially in larger and more complex codebases.

This MCP server integrates Atlassian products like Jira and Confluence with your AI assistant, enabling direct interaction for tasks such as issue management or content search. It's ideal for developers and teams looking to streamline workflows by allowing AI to directly query and manipulate Atlassian data.

This repository provides a comprehensive collection of 24 specialized AI agents designed to supercharge Claude Code CLI capabilities. It excels at building complete features, debugging complex issues, and handling diverse technology stacks with expert-level knowledge, making it ideal for accelerating development workflows.

MCP Router is a cross-platform desktop application that simplifies the management of Model Context Protocol (MCP) servers. It allows users to connect to any MCP server, organize them into projects and workspaces, and toggle individual tools, making it ideal for developers needing centralized control over their AI agent environments.

This tool enables Claude Desktop to act as a pair programming assistant, directly editing files, running tests, and refactoring code on your local machine. It's designed for developers who value a subscription-based AI coding experience with auto-accept functionality and robust Git versioning for all LLM-generated changes.

wcgw is an MCP server that provides tightly integrated shell and code editing tools, enabling Claude and other chat applications to code, build, and run on your local machine. It excels in scenarios requiring a fully interactive agentic development experience, especially when combined with its VSCode extension for seamless shell attachment.

Pipelock is an open-source AI agent firewall that acts as an egress proxy, scanning all outbound and inbound traffic for secret exfiltration, prompt injection, and SSRF. It shines in securing AI agents by providing robust network scanning, process containment, and independently verifiable proof of agent actions.

This Go-based MCP server connects Claude to Kubernetes, enabling AI agents to list, get, create, and modify cluster resources. It's ideal for developers and operators seeking AI-assisted debugging, monitoring, and operational tasks within their Kubernetes environments.

This MCP server enables fast, cross-platform file and folder searching within Claude Code, leveraging native system tools like Everything (Windows), mdfind (macOS), and locate/plocate (Linux). It's ideal for developers who need to quickly locate specific files or directories across their diverse development environments directly from their AI assistant.

This tool provides a Windows control server for AI models using the Model Context Protocol (MCP), enabling programmatic control over system operations like mouse, keyboard, window management, and screen capture. It's ideal for AI agents needing to interact directly with the desktop environment for automation, testing, or experimentation.

This artifact combines a Firefox browser extension with an MCP server, enabling AI assistants to securely manage tabs, search browsing history, and read webpage content. It's ideal for users who want to empower their AI with controlled browser interaction capabilities for research, information gathering, and organization, while maintaining strict control over permissions.

This Docker-based server implements Anthropic's Model Context Protocol (MCP), allowing Claude to securely run Kubernetes CLI tools like kubectl, helm, istioctl, and argocd within a containerized environment. It's ideal for developers and DevOps engineers who want to leverage Claude for natural language interaction with their Kubernetes clusters, streamlining deployment, troubleshooting, and configuration tasks.

This MCP server enables Claude to execute AWS CLI commands, providing comprehensive access to over 200 AWS services by wrapping the CLI directly. It is ideal for developers and DevOps engineers who need AI assistance for managing AWS resources, automating tasks, and exploring AWS capabilities on demand.

Portainer MCP implements the Model Context Protocol to link AI assistants directly with Portainer environments, providing a standardized way for AI models to interact with containerized infrastructure. It empowers AI to manage Portainer resources like users and environments, or to execute Docker and Kubernetes commands, making it ideal for AI-driven infrastructure management and operational automation.

This server provides a production-ready Model Context Protocol (MCP) interface for LangSmith, allowing AI models to programmatically fetch conversation history, prompts, traces, datasets, and billing usage. It is ideal for integrating LLMs with LangSmith's observability and evaluation features to build context-aware AI applications.

This MCP server allows AI assistants to manage Azure DevOps work items and project structures, enabling natural language control over tasks, bugs, and team configurations. It is suitable for developers seeking to automate routine Azure DevOps operations directly from their AI environment.

This MCP server provides AI agents with comprehensive access to the Harness.io platform, consolidating over 240 API endpoints into just 11 tools. It supports 168 resource types across CI/CD, GitOps, Feature Flags, Cloud Cost Management, Security Testing, and more, offering full platform coverage. Agents can discover organizations and projects dynamically, enabling multi-project workflows without hardcoded configurations. It includes 30 pre-built prompt templates for common tasks like deploying apps, debugging pipelines, optimizing cloud costs, and auditing access. The server supports Stdio an

This MCP server integrates with the CoinMarketCap Pro API, enabling AI assistants to access up-to-date cryptocurrency market data. It exposes two primary tools: "get-currency-listings" for fetching the latest market overview and "get-quotes" for retrieving specific token information using a slug or symbol. Additionally, it defines a custom "coinmarket://" URI scheme, allowing direct access to individual cryptocurrency resources. The server is implemented in Python, leveraging the "uv" package manager for dependency handling and execution. It also provides comprehensive Docker support for stre

This Claude Code skill enables interactive analysis of personal genetic data from services like 23andMe or AncestryDNA. Users upload their raw DNA file, then leverage Claude to run a suite of Python scripts covering health, ancestry, nutrition, and more. Claude provides plain English explanations, answers follow-up questions, and offers personalized context. Beyond conversational analysis, it can generate a single-file, interactive HTML 'DNA Terminal' webpage, visualizing all findings with a hacker aesthetic. It transforms static genetic reports into a dynamic, explorable experience.

n8n-MCP acts as a bridge, giving AI models structured access to n8n's 525+ nodes, their properties, operations, and comprehensive documentation. It enables AI to design, validate, and manage n8n workflows effectively. Features include node discovery, detailed configuration validation, and token-efficient diff-based workflow updates, significantly enhancing AI's ability to interact with n8n.

This Model Context Protocol (MCP) server connects Claude Code with Dumpling AI, offering a vast array of tools. It enables advanced web scraping (including crawling and structured data extraction), data retrieval from various sources like YouTube, Google Search, Maps, and News, and robust document processing (PDF, video, audio, image conversion and extraction). Developers can also leverage AI agent capabilities, knowledge base management, image generation, and secure JavaScript/Python code execution directly within their AI-assisted workflows.

This Model Context Protocol (MCP) server integrates AI assistants with the Terraform Cloud API, allowing users to manage their infrastructure through natural conversation. It provides comprehensive control over Terraform Cloud resources, including account, workspace, project, run, plan, apply, organization, cost estimation, assessment results, state version, and variable management. Built with Pydantic models, it's compatible with any MCP-supporting platform like Claude Code CLI, Claude Desktop, Cursor, and Copilot Studio. It features robust safety controls for destructive operations and audi

MCP Gateway acts as an intelligent proxy between your AI client and its tools, solving the critical context window bottleneck. Instead of loading every tool definition into each request, it presents a minimal Meta-MCP surface (typically 13-16 tools), discovering backend tools and REST APIs on demand. This approach yields up to 89% token savings, enabling AI agents to access an unlimited number of tools without incurring prohibitive costs or context pressure. It integrates REST APIs via simple YAML or OpenAPI specs, allows dynamic configuration changes without restarting AI sessions, and inclu

GZOO Cortex is a local-first knowledge orchestrator designed for developers working across multiple projects. It automatically watches your project files (md, ts, js, json, yaml), extracts entities like decisions, patterns, and components using LLMs, and infers relationships between them. This creates a comprehensive knowledge graph that you can query in natural language to recall past decisions, avoid re-solving problems, and gain context across your entire codebase. It supports various cloud and local LLM providers (Ollama) with intelligent routing, ensures privacy by keeping restricted pro