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.

MCPHub is an embeddable Model Context Protocol (MCP) solution for AI service integration. It provides a unified way of configuration and management, supports multiple AI frameworks (such as OpenAI Agents, LangChain, Autogen), and simplifies the connection between MCP servers and AI applications.

The Tenzir MCP Server is a service based on the Model Context Protocol, used to connect AI assistants with security data pipelines and map data to the Open Cybersecurity Schema Framework (OCSF).

A server implementation based on the Model Context Protocol (MCP) for integrating with Recraft.ai services, enabling AI assistants to generate images using Recraft's API through the MCP framework.

An Excel file reading and writing service based on the Spring AI MCP framework, supporting integration with large language models for dynamic interaction

Apple Developer Documentation MCP service provides AI programming assistants with the ability to directly access Apple's official development documentation, supporting intelligent search, framework browsing, and detailed documentation retrieval.

A development document server based on the MCP protocol, providing accurate framework document retrieval services and solving the API hallucination problem in AI development.

A SQL service application based on Spring Boot, providing SQL query and update functions, supporting the export of results as CSV files, and being a component of the Spring AI MCP framework.

AgentCraft is an enterprise-level AI agent framework that provides secure and scalable intelligent agent services.

The AutoGen MCP server is a multi - agent dialogue service integrating the Microsoft AutoGen framework, providing standardized interfaces for AI agent management and collaboration.

Graphiti MCP Pro is a memory storage MCP service and management platform enhanced based on the Graphiti framework, providing asynchronous parallel processing, task management tools, unified configuration management, broader AI model compatibility, and a comprehensive visual management system.

Awesome MCP FastAPI is an enhanced Model Context Protocol (MCP) service implemented based on the FastAPI framework. It provides powerful tool registration functionality and automatic documentation generation, leveraging the mature FastAPI ecosystem to achieve high-performance AI tool integration.

A Linux command proxy service implemented based on the Spring AI framework, supporting local and SSH remote execution of Shell commands

This is a template project for building a Model Context Protocol (MCP) server, providing a basic service framework, tool definition examples, and error - handling mechanisms, and supporting integration with AI systems such as Claude.

The Conversive AI project is a framework that provides core Gen AI services, aiming to support the Conversive platform. The project includes environment setup, dependency installation, configuration modification, and operation guides, as well as contribution specifications and contact information.

The MCP server component of the Moqui framework enables the secure integration of AI systems with the Moqui enterprise framework, providing entity operations, service calls, and search functions

An MCP server project based on the Spring AI framework, using the Sync SSE transmission protocol, integrating the AWS Bedrock service, and utilizing PostgreSQL for vector storage.

Open-MCP-Server is an AI business data integration service framework that supports multi - protocol access, simplifying the connection between enterprise systems and AI platforms.

The NSAF MCP Server is a server-side service for the neural-symbolic autonomous framework based on the Model Context Protocol, allowing AI assistants to interact with the NSAF framework through the MCP protocol and providing functions such as running evolutionary algorithms and comparing intelligent agent architectures.

Spring AI MCP service project, integrating AI capabilities using the Spring Boot framework

Overview: MCP (Model Context Protocol) is a framework for AI automation through a standardized protocol, which includes key components such as hosts, clients, servers, local data sources, and remote services. The core lies in the server, which provides context, tools, and prompts for clients. MCP enables AI agents to automate tasks, such as code generation, debugging, and interaction with external services like GitHub repositories.

MCPlite is a Python MCP service framework similar to FastAPI, which allows developers to easily define and expose server-side capabilities (such as tools, functions, or resource access) for programmatic calls by AI agents in host applications.

Activepieces is an open-source automated workflow platform designed to replace Zapier. It provides an extensible, type-safe TypeScript framework, supports the integration of more than 200 services, and features AI-first, enterprise-level security, and human intervention processes. The project emphasizes developer-friendliness and community contributions, and supports multi-language translation and custom templates.