Vellum AI provides a comprehensive platform for companies to take their Large Language Model (LLM) applications from prototype to production. With advanced tools such as prompt engineering, semantic search, model versioning, prompt chaining, and rigorous quantitative testing, it allows developers to confidently build and deploy AI-powered features. This platform aids in integrating models with agents, using RAG and APIs to ensure seamless deployment of AI applications.

Semantic Scholar FastMCP Server is designed to streamline academic research by exposing a RESTful API that sits between your application and the Semantic Scholar database. It orchestrates multiple prompt chains (MCP) in parallel—such as metadata retrieval, abstract summarization, citation extraction, and question answering—to produce fully processed results in a single response. Developers can configure each chain’s parameters, swap out language models, or add custom handlers, enabling rapid deployment of literature review assistants, research chatbots, and domain-specific knowledge pipelines without building complex orchestration logic from scratch.