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.

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.

llmctx is a tool for converting technical documentation into an AI-ready format. It provides preset URLs for quick access to LLM-optimized documentation of popular frameworks and libraries, helping developers obtain accurate and up-to-date context information when using AI programming assistants.

The Allora MCP Server is an implementation based on the Model Context Protocol (MCP) that provides the function of obtaining machine learning inference data from the Allora network, enabling AI systems to seamlessly access Allora prediction market data.

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.

Scanpy MCP is a natural language processing server designed for the single-cell RNA sequencing analysis software Scanpy, supporting operations such as data reading and writing, preprocessing, analysis, and visualization through natural language. It is suitable for researchers and proxy developers.

ChatPPT is an AI - driven presentation generation service that supports generating PPTs according to themes or requirements, automatically creating PPTs by uploading documents, and provides online editing and download functions. Its MCP server supports 18 intelligent document processing APIs, covering various scenarios such as PPT production and resume analysis.

A PowerPoint translation tool based on Amazon Bedrock, supporting command - line and FastMCP service integration, and performing high - quality translation while preserving the original format.

The MCP server for industrial Internet of Things and edge computing provides 11 tools through HTTP endpoints, enabling AI - driven industrial automation, predictive maintenance, and smart factory operations, and supporting multiple protocols such as MQTT and Modbus.

Prompt Decorators is a framework for standardizing large - language - model prompt enhancement and transformation. It provides specification definitions and Python implementations, includes over 140 pre - set decorators, and supports MCP protocol integration.

Vibe Check MCP is a server that provides metacognitive supervision for AI agents. Through pattern interruptions, plan simplification, and self - learning feedback loops, it prevents AI from falling into error paths or over - designing solutions in complex tasks.

Nexonco is an MCP server developed by Nexgene Research, used for quickly querying clinical evidence in the CIViC database and supporting precision oncology research.

A PowerPoint operation MCP server based on python-pptx, providing tools for creating, editing, and operating PPT presentations, supporting the addition of various elements and modification of document properties.

An MCP service that prevents AI hallucinations. When AI is uncertain, it can ask humans for help instead of being over - confident, improving development efficiency through a simple Q&A mechanism.

OmniMCP is a tool that provides rich UI context and interaction capabilities for AI models through the Model Context Protocol (MCP) and OmniParser. It focuses on achieving in - depth understanding of the user interface through visual analysis, structured planning, and precise interaction execution.

MCP - Filesystem is a file system operation server optimized for intelligent interaction, providing efficient management of large files and complex file systems, including intelligent context management, precise file operations, and advanced search functions.

A PowerPoint operation MCP server based on python-pptx, providing functions for creating, editing, and operating PPT presentations.

A server based on FastMCP for programmatically creating, editing, and rendering PowerPoint presentations, supporting slide operations, content addition, and image rendering functions.

MCP-NixOS is a model context protocol server that prevents AI assistants from having hallucinations about the NixOS system, providing real-time access to NixOS packages, system options, Home Manager settings, and nix-darwin configurations.

Preview version of the MCP Server for Keyfactor Command, built on the Python SDK, supporting certificate management operations such as querying, issuing, and revoking. Currently experimental software not recommended for production use.

AWS S3 operation MCP service, providing secure S3 bucket access via pre-signed URLs

A secure atomic file operation service that provides transactional file operations through the MCP protocol, preventing AI from accidentally deleting or modifying important file content, and having security features such as integrity verification and operation rollback.

A VSCode extension that turns the editor into an MCP server, supporting functions such as code editing, terminal operations, and preview tools, and providing a cost - effective AI programming assistance solution.

An MCP server that provides real - time Indian options market data and volatility analysis for Claude, supporting queries of financial indicators such as implied volatility, realized volatility, volatility risk premium, and skew analysis.

An MCP server that provides real-time data from multi-platform prediction markets, supporting platforms such as Polymarket, PredictIt, and Kalshi. Query odds, prices, and market information through a unified interface.

The Financial Modeling Prep MCP Server is a financial data service that implements the Model Context Protocol (MCP), providing over 253 financial tools and covering 24 categories such as stock information, company fundamentals, and market analysis. It supports dynamic tool management, selective tool loading, and multiple configuration modes, providing comprehensive financial data access capabilities for AI assistants.

The Model Context Protocol (MCP) is an open - source protocol released by Anthropic, aiming to solve the standardization problem of connecting large language models (LLMs) with external data sources and systems. It provides a structured framework that enables models to integrate and utilize external context, thereby expanding their capabilities and improving response accuracy. MCP supports functions such as knowledge expansion, external tool calls, and pre - written prompts.

Provide a configuration and operation solution based on the Prefect MCP Server, suitable for the Cursor IDE environment.

SharpTools is a C# code analysis and modification tool based on Roslyn, providing AI developers with in - depth code processing capabilities similar to an IDE, supporting dynamic project mapping, precise code modification, Git integration, and other functions.

This project is an OpenAPI MCP server used to provide pre - configured REST API context for LLMs, enabling LLMs to interact with REST APIs through prompts.

Rive's official documentation repository, built with Mintlify, supports local development preview and community contributions.

A Brazilian legal research server based on the MCP protocol, providing legal case retrieval functions for agents through official data sources, supporting precedent queries for the Brazilian Supreme Federal Court, Superior Court of Justice, and Superior Labor Court.

OmniMCP is a project that provides rich UI context and interaction capabilities for AI models through the Model Context Protocol (MCP) and OmniParser. It supports functions such as visual perception, LLM planning, and action execution, enabling in - depth understanding and precise interaction with the user interface.

A secure pre-approved command execution MCP server that provides restricted command execution functionality and supports real-time output streaming

The MCP server of Manifold Markets provides comprehensive prediction market interaction functions, including market creation, trading operations, liquidity management, and social functions.

An MCP server designed for Cappt, used to generate presentations and standard outlines based on outlines.

Android-MCP is a lightweight open-source project that serves as a bridge between AI agents and Android devices. It enables real-world task operations such as app navigation, UI interaction, and automated testing through the MCP server, without relying on traditional computer vision or pre-set scripts.

This is an MCP server project that provides PowerPoint automation functionality for Claude Desktop, supporting operations such as creating, editing, and saving presentations by controlling Microsoft PowerPoint through protocols.

This project demonstrates the training of a linear regression model using Claude and the Model Context Protocol (MCP) for an end-to-end machine learning workflow. Users only need to upload a CSV dataset, and the system can automatically complete the entire process of data preprocessing, model training, and evaluation (RMSE calculation).

A localized MCP server designed for PrestaShop development documentation, providing fast full-text search for over 1095 offline documents, including hooks, components, APIs, and development guides.