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.

Aderyn is an open - source Solidity smart contract static analysis tool written in Rust, which helps developers and security researchers discover vulnerabilities in Solidity code. It supports Foundry and Hardhat projects, can generate reports in multiple formats, and provides a VSCode extension.

This project is an MCP server used to interact with the Obsidian note application through the Local REST API plugin of Obsidian. It provides various tools to operate and manage files in Obsidian, including listing files, retrieving file content, searching, modifying content, and deleting files.

Nx Console is a visualization tool for Nx and Lerna monorepo projects, which enhances the AI function of the editor and provides project and workflow management.

MCPAdapt is an open - source project aiming to seamlessly integrate the tools of over 650 MCP servers into various agent frameworks, enabling developers to easily use these tools in their agent workflows.

Blender MCP VXAI is a powerful integration tool that allows users to control Blender through natural language to create and modify 3D models, animations, and scenes. It simplifies complex operations and supports real-time export to projects.

Awesome MCP Servers is a comprehensive collection of Model Context Protocol (MCP) servers, covering 7,158 MCP servers divided into 33 categories, including AI integration, art and media, browser automation, cloud services, databases, developer tools, file systems, finance, gaming, hardware, healthcare, infrastructure, knowledge management, location maps, marketing, monitoring, multimedia processing, operating systems, project management, scientific research, security, social media, travel and transportation, utilities, and version control, etc.

A PowerPoint presentation generation project based on the MCP server, supporting the creation, editing, and saving of presentations, including various slide types and chart generation functions.

This project provides an MCP server for deploying code to Google Cloud Run services, supporting deployment from various sources such as AI-assisted IDEs, AI assistant applications, and proxy SDKs.

This project uses a branch-triggered mechanism to manage the publishing process of NPM packages and Docker images, including automatic version management, multi-platform building, and publishing verification functions.

adb - mcp is a proof - of - concept project aiming to provide an interface for LLMs through the MCP protocol to create an AI agent for controlling Adobe tools (such as Photoshop and Premiere). This project includes the MCP server, Node command proxy server, and Adobe application plugins, supporting natural language instruction operations on Adobe software and suitable for image and video editing automation.

This project is a server - side implementation based on the Model Context Protocol (MCP), providing seamless integration with the Milvus vector database and enabling multiple LLM applications such as Claude Desktop and Cursor to access database functions through a standardized protocol.

This project provides a series of Model Context Protocol servers based on Quarkus/Java to extend the capabilities of MCP-enabled LLM applications, including various services such as JDBC database interaction, JVM monitoring, and file system operations.

FileScopeMCP is a code analysis tool based on TypeScript. It helps developers quickly understand the codebase structure by calculating file importance scores, tracking dependency relationships, generating visual charts, and adding file summaries. It supports analysis of multi-language projects, provides Mermaid chart generation and persistent storage functions, and can be integrated with Cursor's model context protocol.

ClaudeKeep is an experimental project that saves and shares conversation records with Claude AI via the MCP protocol.

This project creates an AI agent based on the n8n platform that can discover and use Model Context Protocol (MCP) server tools through the Nostr network. The agent searches for available tools by querying Data Vending Machines (DVM) in the network, sends requests, and obtains responses, thereby expanding the functionality of the LLM to use MCP tools that are not installed.

The project aims to connect RAG applications to open-webui through the MCP protocol to achieve model context interaction, including basic PoC verification, knowledge base integration, and client docking.

An MCP server based on TypeScript that provides integration functions with the Qase test management platform and supports managing various entities such as projects, test cases, and test runs.

Aiven's MCP server project provides access to services such as PostgreSQL and Kafka in the Aiven ecosystem, enabling LLMs to build full - stack solutions. It includes tools such as project lists and service details, and supports connection configuration through environment variables.

An MCP server based on the TCP protocol designed for Windows, used to remotely build and test .NET Framework projects via Claude Code in a WSL/Linux environment, providing a bridge to the Windows build toolchain.

The Metoro MCP Server is an open-source project that connects Kubernetes cluster data to the Claude desktop application via the Model Context Protocol, enabling AI-driven cluster observation.

This project is a Python server based on the MCP protocol, providing functions for querying and calculating soil and water conservation technical specifications, including engineering calculations such as Manning's coefficient, earth pressure coefficient, drainage ditch flow velocity, and slope stability, as well as the conversion between latitude and longitude and UTM/TWD97 coordinates in Taiwan region. It is suitable for AI application integration.

An MCP service for real - time monitoring of development server logs. It instantly pushes categorized error notifications to Claude Code via SSE, supporting multi - project and multi - client connections.

DINO-X MCP is a project that enables large language models to perform fine-grained object detection and image understanding through DINO-X and Grounding DINO 1.6 API. It can achieve precise object positioning, counting, attribute analysis, and scene understanding, and supports natural language-driven visual tasks and workflow integration.

The NASA MCP Server is a server that follows the Model Context Protocol specification, providing a standardized interface for AI models to access more than 20 public API data sources of NASA, including astronomical photos, Mars exploration data, Earth observation images, etc. The project provides unified data format conversion, parameter validation, and rate limit management, and supports multi - platform operation.

This project is an integrated MCP server suite with various functions, including media tools, information retrieval, PDF generation, and presentation creation services, which need to be configured and run separately.

This is an MCP server project for GitHub Advanced Security (GHAS), used to call the security scanning functions of GitHub repositories through the MCP protocol, including dependency alerts, secret scanning alerts, and code scanning alerts. It supports authentication through GitHub CLI or a personal access token and provides an installation method for the VS Code extension.

This project enables querying Dataverse environments using SQL via the MCP protocol, supports AI tools such as GitHub Copilot and Claude Desktop, and provides two installation methods: the dotnet tool and Docker container.

An MCP server for building iOS projects, supporting seamless work through extensions in VS Code.

The Alibaba Cloud Operation and Maintenance MCP Server project provides a variety of cloud product operation tools, including functions such as starting, stopping, and querying services like ECS, VPC, RDS, and OSS, and supports automated operation and maintenance through API and OOS.

The Hex MCP Server is a service that provides real-time Hex package version information for AI tools (such as Cursor), ensuring the use of correct and up-to-date package versions when adding dependencies in Elixir projects.

This project is a multi - tool integration and code execution platform based on FastMCP. It supports importing MCP tools from local and SSE clients, provides Docker deployment and streaming code execution management, and is suitable for various tool invocation scenarios such as chemical information query and web page parsing.

Changesets is a build tool for managing code versions and releases in multi - package or single - package projects.

A server example project for invoking command-line tools via the MCP protocol

SourceSage is an MCP server that visualizes the project directory structure in a beautiful Markdown format, supporting automatic documentation and highly customizable exclusion modes.

An MCP server integrating Trivy security scanning capabilities, providing project vulnerability scanning and automatic fix capabilities through a standardized interface.

This project is a server based on the Model Context Protocol (MCP), which realizes seamless integration with the Milvus vector database and provides a standardized data access interface for LLM applications. It supports direct invocation of Milvus's search, query, and management functions in applications such as Claude Desktop and Cursor.

A server project based on FastMCP that provides an access interface to Israel's OpenBudget data, supporting query and search of various budget - related datasets.

This is a project that converts the Python version of the MySQL MCP server to a Java implementation, providing a secure MySQL database interaction interface that allows AI assistants to access database resources in a controlled manner.

An MCP server project implemented in TypeScript based on FastMCP, used to interact with Telegram via the MTProto protocol and provide tool support for AI models.