k6-mcp-server implements the Model Context Protocol, allowing users to execute and manage k6 load testing scripts through standardized MCP clients. It provides a simple API, supports custom test durations and virtual users, and offers real-time execution output. The system is configurable via environment variables and can be easily integrated into existing MCP-compatible tooling.

• ⭐ 17
• MCP
• QAInsights/k6-mcp-server

JMeter MCP Server enables execution and analysis of Apache JMeter tests through MCP-compatible clients. It provides command-line and programmatic tools for running JMeter tests in GUI and non-GUI modes, parsing and analyzing JTL result files, and generating detailed metrics and reports. Designed for integration with tools that follow the Model Context Protocol, it facilitates seamless performance testing workflows and actionable insights for test results.

• ⭐ 47
• MCP
• QAInsights/jmeter-mcp-server

Website Downloader MCP Server provides a Model Context Protocol (MCP) compatible server that enables users to download entire websites using wget. It preserves the website structure, rewrites internal links for local browsing, and allows for custom download depth and output directories. The server is intended for integration into larger systems or AI workflows that utilize MCP servers. Installation instructions and usage examples are provided for multiple platforms.

• ⭐ 144
• MCP
• pskill9/website-downloader

MacOS Resource Monitor MCP Server provides real-time monitoring of system resources on macOS devices, exposing an MCP endpoint for integration with LLMs or other clients. It identifies resource-intensive processes across CPU, memory, and network, delivering structured JSON outputs. The server offers advanced filtering, sorting, and system overviews, assisting in performance analysis and bottleneck identification. Designed for seamless integration and lightweight system monitoring.

• ⭐ 16
• MCP
• Pratyay/mac-monitor-mcp

PostHog MCP provides a server implementation for the Model Context Protocol, now maintained within the PostHog monorepo. It enables quick deployment for enhanced model context management across editors like Cursor, Claude, Claude Code, VS Code, and Zed. Users can install the MCP server with a single command, streamlining integration for large language model workflows. Documentation and further details are provided through official PostHog resources.

• ⭐ 138
• MCP
• PostHog/mcp

Pica MCP Server provides a standardized Model Context Protocol (MCP) interface for interaction with a wide range of third-party services through Pica. It enables direct platform integrations, action execution, and intelligent intent detection while prioritizing secure environment variable management. The server also offers features such as code generation, form and data handling, and robust documentation for platform actions. It supports multiple deployment methods, including standalone, Docker, Vercel, and integration with tools like Claude Desktop and Cursor.

• ⭐ 8
• MCP
• picahq/mcp

Token Optimizer MCP is a server that reduces context window usage for AI tools by intelligently caching, compressing, and externally storing large content. It offers smart replacements for standard file and API operations, integrating seamlessly with tools such as Claude Desktop and other code assistants. The tool employs persistent caching with SQLite, high-ratio Brotli compression, and precise token counting to optimize both accuracy and efficiency. Production results indicate consistent 60-90% token usage reduction over tens of thousands of operations.

• ⭐ 6
• MCP
• ooples/token-optimizer-mcp

OpsLevel MCP Server implements the Model Context Protocol to provide AI tools with a secure way to access and interact with OpsLevel account data. It supports read-only operations for a wide range of OpsLevel resources such as actions, campaigns, checks, components, documentation, domains, and more. The tool is compatible with popular environments including Claude Desktop and VS Code, enabling easy integration via configuration and API tokens. Installation options include Homebrew, Docker, and standalone binaries.

• ⭐ 8
• MCP
• OpsLevel/opslevel-mcp

Octocode MCP is a Model Context Protocol (MCP) server designed to enable AI assistants to search, analyze, and extract insights from millions of GitHub repositories with high security and token efficiency. It offers intelligent orchestration for deep code research, planning, and agentic workflows, streamlining the process of building and understanding complex software projects. The platform features robust tools and commands, such as /research for expert code research, designed to support developers and AI systems with context-rich information.

• ⭐ 577
• MCP
• bgauryy/octocode-mcp

OpenZeppelin Contracts Wizard enables users to interactively build smart contracts by combining components from OpenZeppelin Contracts. It features a web application, TypeScript API, embeddable widget, and offers MCP (Model Context Protocol) Servers for AI agents to generate contracts with customizable features. It supports Solidity, Cairo, Stellar, and Stylus languages and allows for both local and hosted MCP server usage. The platform is open source and welcomes community contributions.

• ⭐ 288
• MCP
• OpenZeppelin/contracts-wizard

Octomind MCP Server enables agents to interact with Octomind's end-to-end testing platform, allowing the creation, execution, and management of automated tests. It provides a server that integrates with various clients and allows for configuration, session management, and access to multiple testing tools and resources. The server supports extensible session storage options and integrates with external platforms like TestRail and Redis for advanced scenarios. It is designed to facilitate local development and enhance test management workflows.

• ⭐ 21
• MCP
• OctoMind-dev/octomind-mcp

EditorConfig MCP Server provides a Model Context Protocol (MCP) compliant server that automatically formats project files according to .editorconfig rules. Designed to work with AI coding agents, it proactively enforces consistent code formatting and prevents common style errors before files are processed further. The server features robust API endpoints, semantic versioned routes, rate limiting, OpenAPI documentation, and JSON schema-based validation, supporting seamless integration into automated development workflows.

• ⭐ 2
• MCP
• neilberkman/editorconfig_mcp

Gitingest MCP Server provides a Model Context Protocol (MCP) compliant server that integrates with the gitingest tool to analyze and ingest Git repositories into structured text digests. It offers detailed repository analysis, including code summaries, file structures, and content extraction, tailored for integration with AI assistants. The server features flexible configuration and supports filtering by file size, patterns, and branches. It enables standardized delivery of codebase context to AI models for improved reasoning and comprehension.

• ⭐ 8
• MCP
• narumiruna/gitingest-mcp

pharo-smalltalk-interop-mcp-server implements the Model Context Protocol (MCP) and enables communication with a local Pharo Smalltalk image. It offers capabilities such as code evaluation, code introspection, search and discovery, package management, project installation, test execution, and UI debugging. The server is configured to integrate with tools like Cursor and Claude Code, providing a standardized API for programmatic Smalltalk interaction.

• ⭐ 6
• MCP
• mumez/pharo-smalltalk-interop-mcp-server

User Feedback MCP is a simple Model Context Protocol (MCP) server designed to facilitate human-in-the-loop workflows within tools such as Cline and Cursor. It allows applications, especially desktop software undergoing development, to request and incorporate user feedback before finalizing AI-assisted tasks. The system integrates with existing development pipelines and provides customizable configuration through a .user-feedback.json file and a web-based interface for easy interaction.

• ⭐ 50
• MCP
• mrexodia/user-feedback-mcp