Specifai MCP Server

The Specifai MCP Server is a lightweight, tool‑agnostic gateway that lets AI assistants such as Claude, Hai Build, or any MCP‑compatible client tap directly into the rich documentation produced by a Specifai project. By exposing the full set of specification documents as MCP tools, the server eliminates the need for manual file handling or custom integration scripts. Developers can ask an assistant to read, query, or transform any document in the Specifai workspace with a single, well‑defined MCP call, streamlining workflows that involve code generation, design review, or compliance checks.

At its core, the server solves a common pain point: keeping AI assistants in sync with evolving project artifacts. In many teams, specification files—whether they are OpenAPI schemas, GraphQL SDLs, or custom DSL outputs—reside in a repository that changes daily. Traditional approaches require developers to copy files into the assistant’s context or write bespoke adapters for each tool. The Specifai MCP Server abstracts this complexity by serving the entire document tree over a stable protocol, ensuring that every assistant instance always accesses the latest version without manual intervention.

Key capabilities of the server include:

• Universal Tool Exposure – Any MCP client can request documents by path or query, receiving structured JSON representations that preserve formatting and metadata.
• Project‑Scoped Configuration – A simple marker tells the server where to locate specification files, allowing the same binary to be reused across multiple projects without hard‑coding paths.
• Extensible Runtime – Built on Node.js and optionally Bun, the server can run in diverse environments—from local IDE extensions to cloud functions—making it flexible for both on‑premise and SaaS deployments.
• Experimental but Robust – While the project is marked as experimental, its core functionality—document retrieval and transformation—is stable and ready for production use in many scenarios.

Real‑world use cases abound. A developer can ask an assistant to “list all API endpoints defined in the current Specifai specification” and receive a concise summary, or request that the assistant “generate boilerplate code for a new service based on the latest schema.” In compliance teams, auditors can query the assistant to retrieve specific policy documents or track changes across releases. Because the server presents data through MCP, any AI workflow that already understands tool invocation can immediately leverage Specifai artifacts without custom adapters.

What sets the Specifai MCP Server apart is its focus on tool agnosticism combined with a tight integration into the Specifai ecosystem. By treating every specification file as an MCP tool, it removes friction between human intent and machine‑readable data. Developers who rely on AI assistants for rapid iteration, code synthesis, or documentation maintenance will find that the server not only speeds up their workflow but also guarantees consistency across all AI‑powered interactions.