Sequa
bysaqua-ai
0Bridges various Model Context Protocol (MCP) transports used by IDEs and AI agents with Sequa's native HTTP MCP endpoint.
About
Sequa MCP serves as the essential gateway for integrating Sequa, a powerful Contextual Knowledge Engine, with any MCP-capable client or AI agent. It provides a straightforward, single drop-in command that seamlessly translates standard STDIO/command line MCP transports into Sequa's high-performance, streamable HTTP MCP. By doing so, it allows LLM-powered assistants in IDEs like Cursor, VSCode, or tools like Claude Desktop to access Sequa's unified code, documentation, and project knowledge, enabling them to execute complex, architecture-aware tasks, generate accurate code, and adhere to centralized AI coding standards.
Key Features
- Single drop-in command for easy integration
- Bridges STDIO/command MCP transports to HTTP MCP
- Enables AI agents to leverage Sequa's Contextual Knowledge Engine
- Supports integration with popular IDEs and AI tools (e.g., Cursor, Claude Desktop, VS Code)
- Facilitates context streaming for accurate, production-ready code generation
- 0 GitHub stars
Use Cases
- Connecting LLM-powered coding assistants in IDEs (like Cursor, VSCode) to Sequa's knowledge base
- Integrating AI agents (such as Claude Desktop, Highlight AI, Augment Code) with Sequa for enhanced contextual understanding
- Enabling AI assistants to perform architecture-aware and cross-repository tasks by providing deep project context
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