English 
B-Proud Inc. is pleased to announce that it has implemented and begun offering an MCP (Model Context Protocol) server function for its development documentation SaaS, TRACERY, which enables collaboration with AI agents.
This function allows AI agents to access TRACERY, enabling development using stock information such as requirements definitions, database designs, glossaries, etc. By providing comprehensive support for design, implementation, and documentation, it contributes to improving the efficiency and quality of AI-driven development.
TRACERY as a new platform for AI development
MCP (Model Context Protocol) is a common specification that enables AI agents to connect with external tools and data sources, and is attracting attention as a standard interface for future AI-driven development.
こちらもお読みください： Ricoh Rolls Out OpenAI “gpt-oss-120B” After Tests
Now that TRACERY supports this specification as a remote MCP server, developers can access TRACERY via AI from clients such as Visual Studio Code, seamlessly obtaining and registering design and requirement information.
The value of AI-driven development with TRACERY x MCP
The collaboration between TRACERY and MCP will solve the following issues in AI-driven development:
Unified knowledge management
TRACERY aggregates design, rules, and terminology information for both humans and AI, preventing repository clutter.
Reuse of knowledge
AI can re-reference implementation progress, naming conventions, document structure, etc., allowing for a smooth transition to the next development stage.
Improved referability
Non-engineers can also check specifications and terminology on TRACERY, reducing mismatches in understanding between stakeholders.
Utilizing traceability
TRACERY’s backlink function allows AI to understand data dependencies and the scope of impact of changes, facilitating safe changes.
ソース PRタイムズ
日本語