A collection of official Microsoft MCP servers, providing AI assistant integration tools for various services such as Azure, GitHub, Microsoft 365, and Fabric. It supports local and remote deployment, helping developers connect AI models with various data sources and tools through a standardized protocol.

The Apify MCP Server is a tool based on the Model Context Protocol (MCP) that allows AI assistants to extract data from websites such as social media, search engines, and e-commerce through thousands of ready-to-use crawlers, scrapers, and automation tools (Apify Actors). It supports OAuth and Skyfire proxy payment and can be integrated into MCP clients such as Claude and VS Code through HTTPS endpoints or local stdio.

Refact Agent is an open - source AI programming assistant that supports multi - language code generation, debugging, and optimization. It integrates with mainstream development tools, can be deployed locally, and provides intelligent code completion and code explanation functions.

A lightweight MCP server that provides real-time weather data query and parsing functions for AI assistants such as Claude. Supports both local and remote deployment methods, including Docker containerization solutions.

A local server based on the MCP protocol that implements semantic search and RAG functions for Apple Notes, which can be called by AI assistants such as Claude.

Notebook Intelligence (NBI) is an AI coding assistant and extensible AI framework designed for JupyterLab. It supports models from GitHub Copilot and other LLM providers, including local Ollama models. It significantly enhances productivity through features such as code generation, auto - completion, and chat interfaces, and supports the integration of Model Context Protocol (MCP) services.

An EigenLayer MCP service based on Next.js that provides documentation support for AI assistants and can run locally or be deployed on Vercel

Whistle MCP Server is a Whistle proxy management tool based on the MCP protocol, which allows an AI assistant to directly control the local Whistle proxy server and achieve automated management of rules and requests.

A Laravel Artisan command execution server based on the MCP protocol, which securely manages local Laravel projects through an AI assistant

LegalContext is an open - source MCP server that securely connects the Clio document management system with the Claude AI assistant, enabling local legal document processing and retrieval.

PhonePi MCP is an open - source project that can transform your phone into a toolbox for AI assistants. It enables remote control of phone functions through the Model Context Protocol, including managing contacts, messages, settings, etc. It emphasizes local deployment and network security.

SystemPrompt Coding Agent is an open-source project that transforms a local workstation into an AI programming assistant that can be remotely controlled via the MCP protocol, supporting voice commands and mobile operations for off-site programming management.

The Telnyx Local Model Context Protocol (MCP) Server provides interaction capabilities with telephony, messaging, and AI assistant APIs, supporting clients such as Claude Desktop to manage phone numbers, send messages, make calls, and create AI assistants.

An MCP server that connects AI assistants to the FAST - NUCES Flex student portal, allowing users to query academic data such as grades, attendance, and course schedules through natural language, supporting automated login and local data parsing.

This is an MCP server specifically designed for Local by Flywheel, allowing AI assistants to directly read the WordPress database, automatically detect MySQL instances, and execute read - only queries, greatly improving development efficiency.

Inkeep MCP is a universal document connector based on the Model Context Protocol (MCP). It connects local AI tools (such as Gemini CLI, Claude Desktop) with the "AI Q&A" function of any document website using the Inkeep service (such as Langfuse, Render, etc.) through browser simulation, allowing AI assistants to directly query official documentation.

An MCP server that provides code context for AI assistants by indexing local code into a graph database, supporting code analysis, relationship query, and real - time update functions.

The OpenFeature MCP Server is a local tool that connects AI programming assistants to OpenFeature capabilities through a standardized protocol, providing SDK installation guidance and feature flag evaluation capabilities, and supporting multiple AI development environments.

MCP image extraction and conversion service, providing local/network image processing and Base64 encoding functions for AI assistants

An Obsidian server that implements the MCP protocol via a local REST API, providing a standard interface for AI assistants to access and manage the Obsidian note library.

Context Lens is a local semantic search tool that can convert any content into a searchable knowledge base, enabling AI assistants to understand the meaning rather than just match keywords. It uses a built - in LanceDB vector database, supports local files, GitHub repositories, and URL content, does not require an API key or cloud service, and processes data completely locally.

A Python - based MCP server project that can collaborate with AI assistants such as Claude to generate local music playlists in .m3u format based on the user's mood or theme and save them to the specified directory.

An MCP server that provides random algorithms and probabilistic decision-making capabilities. It extends sequential thinking through advanced mathematical models, helping AI assistants break out of local thinking patterns and make better decision plans.

An MCP server that allows AI assistants to access and search local history session records of multiple AI coding assistants, facilitating the review, learning, and continuation of previous work.

The Dynatrace Managed MCP server is an open-source project that allows AI assistants to interact with self-hosted Dynatrace Managed deployments through the Model Context Protocol (MCP), directly integrating observability data into AI-assisted workflows. It supports local and remote modes, can be configured for multiple environments, and provides the ability to query data such as problems, security, entities, SLOs, events, logs, and metrics.

An MCP server that provides AI assistants with access to Gemini API documentation, supporting local reading and searching of documents.

This project implements an MCP server for Brave Search, supporting integration with AI assistants such as Claude and providing web and local search functions.

mcp-kubernetes-ro is a Kubernetes read-only server based on the Model Context Protocol (MCP), providing AI assistants with secure read-only access to clusters. It supports operations such as resource querying, log retrieval, and API discovery, and can use local kubeconfig configuration without installing the kubectl binary.

A skill management system based on the MCP protocol, allowing AI assistants such as Claude to create, edit, run, and manage skill scripts stored in the local directory, supporting Python code execution, environment variable management, and multi - skill combined use.

The MCP Document Indexer is a Python - based local document indexing and search server that uses the LanceDB vector database and a local LLM (through Ollama) to implement real - time monitoring, multi - format document processing, and semantic search, and provides tools for AI assistants such as Claude through the Model Context Protocol (MCP).

WinBridgeAgent is an open - source Windows local capability service that implements the model context protocol standard and provides traceable Windows system operation functions for AI assistants.

The mcp-observer-server is a server based on the MCP protocol, used to monitor file system events and provide real-time notifications to MCP clients, serving as a bridge between the local file system and AI assistants.

The QuantConnect MCP Server is a localized model context protocol server designed for quantitative trading, providing complete integration with the QuantConnect platform, including research environment, statistical analysis, portfolio optimization, etc. It supports quantitative strategy development through natural - language interaction with an AI assistant.

Kodit is a code - indexing MCP server used to connect AI programming assistants to external code repositories, providing accurate and up - to - date code snippets. It supports indexing and searching of local and public code repositories and can be integrated with multiple AI programming assistants.

Cursor chat history analysis tool that allows AI assistants to read local chat data through the MCP protocol, providing personalized programming assistance and pattern analysis

SolidPilot is an open-source SolidWorks AI assistant that uses a modular architecture to interact with local language models (such as Claude) through the MCP protocol, including technical components like the Python layer, C# adapter layer, and COM bridge.

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.

DevDocs-MCP is a localized MCP server that provides fixed-version and authoritative documentation data for AI assistants, eliminating AI hallucinations and ensuring the accuracy of API context.

The MCP Helm Server is a service that provides tools for interacting with Helm repositories and charts, enabling AI assistants to query repositories, obtain chart information, and value files without installing Helm locally.

Docs MCP Server is a Model Context Protocol server based on the Probe search engine, allowing AI assistants to search for code and document content in local document directories or Git repositories through natural language queries. It supports pre-built content and dynamic configuration and can be easily integrated into MCP clients such as IDEs.