Genkit is an open-source framework for building AI-driven applications, providing Node.js and Go libraries, supporting the integration of multiple AI models and vector databases, and including development tools and a plugin ecosystem.

Testkube is a test orchestration and execution framework for cloud-native applications, providing a unified platform to define, run, and analyze tests. It supports existing testing tools and Kubernetes infrastructure.

MCP Toolbox for Databases is an open-source database MCP server focusing on enterprise-level and production quality, simplifying tool development and providing complex functions such as connection pool and authentication.

Klavis AI is an open-source project that provides a simple and easy-to-use MCP (Model Context Protocol) service on Slack, Discord, and Web platforms. It includes various functions such as report generation, YouTube tools, and document conversion, supporting non-technical users and developers to use AI workflows.

The Solana Agent Kit is an open-source toolkit for connecting AI agents to the Solana protocol, supporting more than 60 blockchain operations.

Container Use is an open-source tool that provides a containerized isolated environment for coding agents, supporting parallel development of multiple agents without interference.

ACI.dev is an open-source AI agent tool infrastructure that provides multi-tenant authentication, permission management, and dynamic discovery functions for over 600 pre-integrated tools. It supports calls through a unified MCP Server or a lightweight SDK, simplifying the development of production-level AI agents.

Parse DMARC is an open-source tool for monitoring and analyzing DMARC reports. It automatically retrieves email reports via IMAP and provides a visual dashboard to help users protect their domains from email spoofing and phishing attacks.

Pipelock is an open-source AI agent firewall that provides security protection with zero runtime dependencies through a single binary file. It adopts an architecture with separated capabilities and deploys a nine-layer scanning pipeline between the agent and the Internet to prevent secret leakage, prompt injection, and malicious tool calls. It supports multiple proxy modes (Fetch proxy, forward proxy, WebSocket proxy) and MCP proxy, and provides functions such as an emergency stop switch, audit logs, and SIEM integration.

The Quarkus Model Context Protocol (MCP) Server is an open-source protocol server that supports easy integration of LLM applications with external data sources and tools through declarative and programmatic APIs.

This is an open-source MCP server project that provides real-time query and retrieval functions for public data from the Swedish Parliament and Government. It includes 32 dedicated tools and supports local deployment or remote use.

MCP is an open-source protocol for standardizing LLM interactions, providing a unified framework for connecting data sources, obtaining context, using tools, and executing standard prompts. Project examples demonstrate how to build MCP servers and clients to implement knowledge base chatbot functionality.

An MCP server integrated with the ClimateTriage API, providing tools to search for open-source issues related to climate change and sustainable development.

mcp-chat is an open-source and general-purpose MCP client tool for testing and evaluating MCP servers and proxies. It supports command-line interaction and web mode, can connect to various MCP servers (JS/Python/Docker), and provides functions such as chat history recording, model selection, and system prompt customization to help developers debug MCP services.

This project compiles a list of popular Model Context Protocol (MCP) servers based on Smithery.ai usage data. MCP is an open-source standard developed by Anthropic for establishing secure two-way connections between data sources and AI tools.

The Vantage MCP Server is an open-source tool that helps users query and analyze cloud cost data through natural language interaction. It serves as a bridge between the Vantage API and AI assistants, providing intuitive cost analysis capabilities and supporting integration with multiple MCP clients.

LOTUS-MCP is an open-source model coordination protocol that integrates the two major AI models, Mistral and Gemini, providing a unified interface, context sharing, and tool integration to achieve intelligent routing and cost optimization.

MacPilot CLI is an open-source tool that enables large language models to interact with the macOS system through the MCP protocol, providing system operation functions.

The ZeroPath MCP Server is an open-source project that allows developers to query security findings such as SAST issues, secrets, and patches using natural language, and directly integrate them into AI-assisted tools. It simplifies the process of handling security issues, providing security context directly in the development environment without the need for manual dashboard or ticket management.

A TypeScript bridge project connecting local LLMs to MCP servers, providing a web interface that enables open-source models to use tool capabilities similar to Claude, supporting functions such as file system operations, web search, and complex reasoning.

The You.com DX Toolkit is an open-source AI development toolkit that includes npm packages, plugins, and skills, and can work in conjunction with more than 20 AI programming assistants such as Claude Code and Cursor. It provides tools such as the MCP server, Vercel AI SDK plugin, and Teams.ai integration, supporting real-time web search, AI agents, and content extraction functions.

The Codex MCP Tool is an open-source MCP server that connects the IDE or AI assistant to the Codex CLI, supporting non-interactive automation, secure sandbox editing, and large-scale code analysis. It provides progress streaming updates and a structured change mode.

The Counsel MCP Server is an open-source tool that connects AI assistants to the Counsel strategic reasoning platform through the Model Context Protocol, supporting multi-perspective analysis and debate-style consultations, and providing two deployment methods: local and hosted.

Lspace is an open-source API backend and server that implements the Model Context Protocol (MCP), helping developers transform insights from AI conversations into a searchable and persistent knowledge base and integrate it into various tools.

gitctx is an MCP server that provides targeted GitHub repository context access for AI programming tools, including code, issues, pull requests, commits, and releases. It is an open-source alternative to Librarian.

Grasp is an open-source and self-hostable humanized browser automation tool that supports the MCP and A2A protocols and can seamlessly integrate with various AI applications. Through Docker containerization deployment, it provides a browser operation experience controlled by natural language.

The Amazon Ads API MCP SDK is an open-source toolkit that enables AI applications to securely interact with the Amazon Advertising API through the Model Context Protocol. It supports multi-region and comprehensive API coverage and is used to build AI-driven advertising management applications.

defold-mcp is an open-source Model Context Protocol (MCP) server designed to connect the Defold game engine with modern developer tools and AI-assisted workflows. It provides a set of automation tools for managing Defold projects, generating scripts and resources, debugging and analyzing projects, and supports integration with AI development tools such as Cursor.

The MCP DigitalOcean integration is an open-source project that provides cloud resource management and operation interfaces based on the DigitalOcean API, supporting operations on various resources and tools.

MCP over SSE is an open-source library that implements the Model Context Protocol based on Server-Sent Events. It provides a complete MCP server functionality, including SSE connection management, JSON-RPC message processing, tool registration and execution, and session management.

MacPilot CLI is an open-source tool that allows large language models to interact with the macOS system through the MCP protocol, providing system operation functions.

The first open-source MCP server that enables full-featured AI control of a remote macOS system without the need to install additional software, providing complete desktop operation capabilities.

The LUMINO MCP server is an open-source tool that provides intelligent observability, predictive analytics, and AI-driven automation capabilities for SRE and DevOps teams. It supports Kubernetes, OpenShift, and Tekton environments and achieves cluster monitoring, log analysis, fault troubleshooting, and predictive maintenance through 37 professional tools.

Context Sync is an open-source AI memory layer that provides persistent memory across sessions and projects for development tools, supports multiple platforms such as VS Code, Cursor, and Claude Desktop, and enables AI context synchronization through the MCP protocol.

The Model Context Protocol (MCP) is an open-source protocol that provides a series of reference implementations and community-built servers, enabling large language models (LLMs) to access tools and data sources securely and controllably. The project includes implementations of various functional servers, covering areas such as file systems, databases, search, and API integration, and supports development with TypeScript and Python SDKs.

The Model Context Protocol (MCP) is an open-source protocol designed to enable Large Language Models (LLMs) to seamlessly interact with external tools, services, and data sources through a standardized interface, simplifying the integration process and expanding AI capabilities.

The Model Context Protocol (MCP) is an open-source protocol that provides a series of reference implementations and community-built servers, enabling large language models (LLMs) to access tools and data sources securely and controllably. This project includes various types of server implementations, covering multiple domains such as file systems, databases, Git, and Slack, and supports TypeScript and Python SDKs.

gbox is an open-source self-hosted sandbox project that provides a secure execution environment for AI agents, supports various tools such as terminals, browsers, and file operations, and is compatible with the MCP protocol.

MCP is an open-source AI-driven penetration testing framework that integrates multiple security tools, analyzes their outputs in real-time, strictly follows the standard penetration testing process, and provides intelligent assistance to security testers.

Neon MCP Server is an open-source tool that allows users to interact with Neon Postgres databases through natural language, simplifying database management tasks such as creating projects, branches, queries, and migrations.