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 AWS MCP Servers are a set of dedicated servers based on the Model Context Protocol, offering various AWS-related functions, including document retrieval, knowledge base query, CDK best practices, cost analysis, image generation, etc., aiming to enhance the integration of AI applications with AWS services through a standardized protocol.

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 Supabase MCP Server is a tool that connects Supabase projects with AI assistants. It standardizes the interaction between large language models (LLMs) and external services through the Model Context Protocol (MCP), enabling functions such as database management, configuration acquisition, and data querying.

HiveChat is an AI chat application designed for small and medium - sized teams. It supports multiple large - model service providers and provides functions such as group management, Token limits, and third - party login.

Context7 MCP is a service that provides real-time, version-specific documentation and code examples for AI programming assistants. It is directly integrated into prompts through the Model Context Protocol to solve the problem of LLMs using outdated information.

The Notion MCP server is a protocol service that connects AI models to the Notion workspace through the official SDK, providing a comprehensive set of Notion operation tools.

This is a curated list of Web3 Model Context Protocol (MCP) servers, covering multiple categories such as chain interaction, trading, DeFi, market data, tools, and social. MCP is an open protocol that standardizes how applications provide context to LLMs, similar to the USB - C port for AI applications. DeMCP is the first decentralized MCP network, focusing on providing self - developed and open - source MCP services for agents, supporting cryptocurrency payments, and redefining the security and reliability of MCP by combining TEE and blockchain registries.

LINE Bot MCP Server is a service that implements the Model Context Protocol (MCP) for connecting AI agents to LINE official accounts, supporting functions such as pushing text and rich - media messages, broadcasting messages, and retrieving user profiles.

A Redis database operation service based on the Model Context Protocol, providing various Redis command tools

The MCP MongoDB Server is a model context protocol service that allows LLMs to interact with MongoDB databases, providing functions such as collection schema checking, query execution, and intelligent ID handling, and supporting read - only mode and security configuration.

The Search1API MCP Server is a server based on the Model Context Protocol (MCP), providing search and crawling functions, and supporting multiple search services and tools.

The Apify MCP Server is a service that implements the Model Context Protocol (MCP), allowing AI assistants to interact with various Actors on the Apify platform through SSE or Stdio to perform tasks such as data scraping and web search.

K8M is an AI-driven lightweight Kubernetes console tool that integrates large model capabilities, supports multi-cluster management, and provides MCP services.

The HOPX MCP server is a service based on the model context protocol that allows AI assistants to execute Python, JavaScript, Bash, and Go code in isolated cloud containers, supporting data analysis and file operations.

A service based on the Model Context Protocol (MCP) that supports the specification-driven development process, guiding developers through a systematic development process from requirement generation, design documents to code implementation via structured prompts.

emcee is a tool that provides a Model Context Protocol (MCP) server for any web application with an OpenAPI specification, connecting applications such as Claude Desktop to external tools and data services.

The DeepSeek MCP server project provides anonymous API proxy services for applications such as Claude Desktop, supporting multi-turn conversations and automatic model switching.

The Jupyter MCP Server is a service that implements the Model Context Protocol (MCP) and supports interaction with Jupyter notebooks.

AWS MCP is a service based on the Model Context Protocol that allows querying and managing AWS resources through natural language, similar to an alternative to Amazon Q.

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.

LYRAIOS is a multi-AI agent operating system based on the Model Context Protocol (MCP), aiming to extend AI application functions by connecting financial networks and public blockchain chains, providing services such as blockchain operations, fintech analysis, and educational learning.

The AWS MCP Server is a lightweight service that enables AI assistants to execute AWS CLI commands through the Model Context Protocol (MCP), providing functions for querying AWS CLI documentation and executing commands.

The Excel MCP Server is a model protocol service that supports reading and writing Excel data

HiMarket is an out-of-the-box enterprise-level AI open platform solution that provides three core components: a management backend, a developer portal, and an AI gateway. It supports packaging AI capabilities such as model services and MCP Server into standardized API products and publishing them.

The Figma MCP Server is a service based on the Model Context Protocol that enables AI assistants to directly interact with Figma files, providing functions for viewing, commenting on, and analyzing designs.

The AWS MCP Server is a server implementation based on the Model Context Protocol that supports operations on AWS's S3 and DynamoDB services. All operations are automatically recorded and can be audited.

mcp-client-go is a Golang client library for interacting with Model Context Protocol (MCP) services. It supports multiple services such as Amap and Github and provides a unified API interface.

The Naver MCP Server is an implementation of the Naver OpenAPI service based on the Model Context Protocol (MCP), providing interaction tools for multiple Naver services.

MCP service that provides A-share data for large models

MCP2Lambda is an MCP protocol server that runs AWS Lambda functions as tools for large language models (LLMs). AI models can call Lambda functions to access private resources and AWS services without code modification.

The Figma MCP Server is a middleware based on the Model Context Protocol (MCP), providing Figma API integration services for clients such as Claude, and supporting design system management and file operations.

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.

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.

The JFrog MCP Server is an experimental project that provides model context protocol services for the JFrog platform API, supporting functions such as repository management, build tracking, and release lifecycle management.

The MCP Text Editor Server is a text file editing service based on the Model Context Protocol, providing line-oriented text file operation capabilities and supporting efficient partial file access to reduce token consumption for LLM tools. It has features such as concurrent editing detection, multi-file atomic operations, and support for multiple encodings.

The Alpaca MCP server is a model context protocol (MCP) service that implements the Alpaca trading API, allowing large language models to interact with the Alpaca trading system through natural language, supporting stock/options trading, portfolio management, and real-time market data acquisition.

HWP-MCP is a protocol service that enables AI models to control HWP documents, supporting document creation, editing, and automation processing.

The Razorpay MCP Server is an official payment integration service that provides seamless docking with the Razorpay API through the Model Context Protocol (MCP), supporting multiple payment tools and automated processes.

The Kong Konnect MCP Server is a model context protocol service for interacting with the Kong Konnect API, allowing AI assistants to query and analyze Kong Gateway configurations, traffic, and statistics.