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.

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.

Vestige is an AI memory engine based on cognitive science. By implementing 29 neuroscience modules such as prediction error gating, FSRS - 6 spaced repetition, and memory dreaming, it provides long - term memory capabilities for AI. It includes a 3D visualization dashboard and 21 MCP tools, runs completely locally, and does not require the cloud.

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.

XiYan MCP Server is a Model Context Protocol server based on XiYan - SQL, which supports querying databases through natural language, provides multiple LLM model configurations and database connection methods, and is suitable for local or remote deployment.

XiYan MCP Server is a model context protocol server based on XiYan-SQL that supports querying databases through natural language and provides options for integrating multiple LLM models and local deployment.

The StrawHat AI development repository provides a complete solution for building local and online AI development environments, including various tools such as the Ollama backend, Open - WebUI frontend, and Claude desktop proxy, supporting rapid deployment and development of AI applications.

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.

An OAuth2 authorization server project based on Spring Boot 3 and Java 24, supporting GraalVM native images, CRaC checkpoint restoration, local AI model testing, and Docker deployment.

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.

The ScrAPI MCP Server is a web scraping service based on ScrAPI technology. It provides the function of extracting web page content in both HTML and Markdown formats and supports local deployment and cloud access.

A high - performance MCP server for semantic code search, written in Rust, supporting hybrid search (BM25 + vector embedding), AST intelligent chunking, and over 60 programming languages.

A local multi - expert intelligent agent scheduling system that supports automatic generation of experts, tool calls, and knowledge base expansion, used for a graduation project.

A simple MCP server project that supports local connection via Ngrok or Docker container deployment and provides Shell execution functionality.

An MCP server implemented in Go language for obtaining the answers to the daily Wordle puzzles through the Wordle API. Supports two deployment methods: quick Docker deployment and local running.

An MCP system implementation based on C++, including host, client, and server components, supporting interaction with LLM through the command line and calling various tool services.

A MySQL database operation server based on the Model Context Protocol, providing standardized interfaces for AI models to interact with MySQL, supporting local and remote deployment, and featuring multi - user concurrency and connection pool management.

The Claudesidian MCP Server is a service project that interacts with the Obsidian knowledge base. It provides functions such as note management, web scraping, and memory retrieval, and supports local deployment and extended development.

The Vaali MCP server is an open - source project that demonstrates advanced AI agent capabilities. Through interactive parameter collection and workflow automation, it implements two modes: official MCP inquiry and intelligent parameter guidance, and supports cloud deployment and local integration.

The Railway MCP Server is an experimental local MCP server that provides a set of tools and workflows for managing Railway resources. It supports functions such as project management, service deployment, and environment variable configuration, and needs to be used with the Railway CLI.

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.

The YepCode MCP Server is a server implementing the Model Context Protocol. It can transform YepCode processes into AI tools, supports remote and local deployment, and provides functions such as code execution, environment management, and process execution.

Lyra Intel is a complete intelligent infrastructure engine for large-scale codebase analysis. It combines in-depth code analysis, AI-driven insights, semantic search, and security scanning, supports deployment from local to enterprise level, and provides comprehensive code understanding, security auditing, and intelligent insight functions.

OMEGA is a persistent memory system designed for AI programming agents, providing cross - session memory, semantic search, automatic capture, and task resumption functions. It is an open - source, local alternative to Mem0.

TeamSpeak MCP is a server control tool based on the Model Context Protocol, specifically designed to allow AI models (such as Claude) to manage TeamSpeak voice servers. It provides 39 functional tools, covering all - around operations such as user management, channel control, and permission configuration. It supports multiple deployment methods (PyPI/Docker/local) to achieve automated TeamSpeak management.

A production-ready MCP server template for hosting custom AI tools and prompt templates, supporting remote deployment and local operation, helping developers quickly build AI model interaction tools.

This project provides multiple examples of MCP server setup, supports local and cloud deployment, includes two transport modes: STDIO and SSE, and is accompanied by detailed tutorial videos.

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.

Claude MCP is a server tool system that enhances Claude's code generation capabilities. By providing the latest documentation and API access, it ensures that the generated code follows the latest best practices. The system supports local or shared deployment, includes tools such as document scraping, and can expand its functions through modularization.

Trade It MCP Server is a remote MCP service that allows users to conduct stock, cryptocurrency, and options trading on supported brokerage platforms through natural language instructions without local deployment.

Signoz MCP Server is a server tool for interacting with the Signoz monitoring platform, providing various functions such as testing connections, obtaining dashboard data, querying APM metrics, etc., and supporting local development and containerized deployment.

The Enterprise Query MCP provides one-stop enterprise big data insight services, including business registration information query, risk scanning, scientific and technological innovation assessment, etc. It supports cloud-based and local deployment.

Glutamate MCP Servers is a project containing multiple MCP servers, supporting easy deployment and management via the Glutamate platform. The project provides custom servers such as UI Assist and supports all Node - based stdio and sse protocol servers.

This is a template project for quickly building and deploying a remote MCP server using Azure Functions (.NET/C#). It supports local debugging and cloud deployment, and provides options for security authentication and network isolation.

A template for quickly building and deploying a remote MCP server using Azure Functions, supporting local debugging and cloud deployment.

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.

MCP Fly Deployer is a configuration generation tool designed specifically for the Fly.io platform, used to automate the deployment of stdio servers based on the Model Context Protocol. Through the integration of supergateway technology, it supports converting local stdio services into SSE or WebSocket services and provides the function of automatically generating Dockerfile, fly.toml configuration, and deployment scripts.

An MCP server that does not require local deployment, specifically designed for handling mathematical calculations. It can provide permanently accurate mathematical calculation capabilities for large language models through simple configuration.

The MagentaA11y MCP Server provides accessibility standards from T - Mobile's MagentaA11y project, supports local and remote deployment, and provides accessibility acceptance standards for web and native components for developers.

A simple Snowflake MCP server for executing Snowflake SQL queries and managing data warehouses, databases, views, etc. in an enterprise proxy environment. It supports Docker deployment and local development.