Specif-ai
Connects to Specif-ai services to retrieve and manage software project requirements documents, user stories, and development tasks.
Provides a bridge for interacting with specif-ai services over stdio, focusing on secure API key management, error handling, and flexible deployment options.
What it does
- Retrieve business requirement documents (BRDs)
- Get product requirement documents (PRDs)
- Access user interface requirement documents
- Fetch user stories for specific requirements
- Get development tasks for user stories
- Set and manage project paths
Best for
About Specif-ai
Specif-ai is a community-built MCP server published by vj-presidio that provides AI assistants with tools and capabilities via the Model Context Protocol. Specif-ai ensures secure web API access and robust error handling, making it a top choice among API security companies f It is categorized under developer tools, productivity. This server exposes 9 tools that AI clients can invoke during conversations and coding sessions.
How to install
You can install Specif-ai in your AI client of choice. Use the install panel on this page to get one-click setup for Cursor, Claude Desktop, VS Code, and other MCP-compatible clients. This server runs locally on your machine via the stdio transport.
License
Specif-ai is released under the MIT license. This is a permissive open-source license, meaning you can freely use, modify, and distribute the software.
Tools (9)
Set the project path and reload the solution, use this tool only when we not automatically able to infer the project path or asked by the user or us., we will try to auto infer it from the environment first.
Get Business Requirement Documents for this project
Get Product Requirement Documents for this project
Get Non-Functional Requirement Documents for this project
Get User Interface Requirement Documents for this project
Alternatives
Related Skills
Browse all skillsUI design system toolkit for Senior UI Designer including design token generation, component documentation, responsive design calculations, and developer handoff tools. Use for creating design systems, maintaining visual consistency, and facilitating design-dev collaboration.
Answer questions about the AI SDK and help build AI-powered features. Use when developers: (1) Ask about AI SDK functions like generateText, streamText, ToolLoopAgent, embed, or tools, (2) Want to build AI agents, chatbots, RAG systems, or text generation features, (3) Have questions about AI providers (OpenAI, Anthropic, Google, etc.), streaming, tool calling, structured output, or embeddings, (4) Use React hooks like useChat or useCompletion. Triggers on: "AI SDK", "Vercel AI SDK", "generateText", "streamText", "add AI to my app", "build an agent", "tool calling", "structured output", "useChat".
Leveraging AI coding assistants and tools to boost development productivity, while maintaining oversight to ensure quality results.
Master API documentation with OpenAPI 3.1, AI-powered tools, and modern developer experience practices. Create interactive docs, generate SDKs, and build comprehensive developer portals. Use PROACTIVELY for API documentation or developer portal creation.
Creates educational Teams channel posts for internal knowledge sharing about Claude Code features, tools, and best practices. Applies when writing posts, announcements, or documentation to teach colleagues effective Claude Code usage, announce new features, share productivity tips, or document lessons learned. Provides templates, writing guidelines, and structured approaches emphasizing concrete examples, underlying principles, and connections to best practices like context engineering. Activates for content involving Teams posts, channel announcements, feature documentation, or tip sharing.
Use when working with the OpenAI API (Responses API) or OpenAI platform features (tools, streaming, Realtime API, auth, models, rate limits, MCP) and you need authoritative, up-to-date documentation (schemas, examples, limits, edge cases). Prefer the OpenAI Developer Documentation MCP server tools when available; otherwise guide the user to enable `openaiDeveloperDocs`.