Implements a Model Context Protocol server for intelligent end-to-end requirement management and development automation, integrating with Feishu project systems.
Implements the Model Context Protocol (MCP) to provide AI models with a standardized interface for connecting to external data sources and tools like file systems, databases, or APIs.
Provides a standardized interface for interacting with GitHub's tools and services through the Model Context Protocol, enabling unified API access and compatibility with MCP-compliant tools.
A Model Context Protocol server that enables AI assistants to interact with Azure DevOps resources including projects, work items, repositories, pull requests, branches, and pipelines through a standardized protocol.
An implementation of the Model Context Protocol for the Opik platform that provides a unified interface for accessing Opik's capabilities, supporting multiple transport mechanisms for flexible integration with IDEs and other environments.