Introducing ScholarAI MCP: A Unified Interface for Research-Grade AI

ScholarAI is launching its Model Context Protocol (MCP) server—a powerful new layer for developers building with LLMs. If you're working with Claude Desktop, research agents, or AI tools that support MCP, you can now integrate a unified research assistant connected to real academic sources.

This release includes:

• Python SDK: PyPI link

• TypeScript SDK: NPM link

• MCP Server: NPM link

What is MCP?

Model Context Protocol (MCP) is an open standard for exposing AI tools to agentic large language models (LLMs). MCP allows developers to register tools and services that can be invoked contextually by AI agents inside environments like Claude Desktop, Cursor, or custom AI assistants.

Instead of hardcoding tools or building custom integrations, MCP offers a clean, standard interface where tools can:

• Receive structured queries

• Return structured responses

• Be discovered automatically by LLM agents

With MCP, you can plug your tools into a larger AI ecosystem—making them accessible, context-aware, and easy to maintain.

Why ScholarAI MCP?

ScholarAI MCP provides agentic LLMs with structured access to high-quality research sources. Instead of manually searching across different academic databases, you can now build tools that:

• Query Google Scholar, Semantic Scholar, PubMed, and Arxiv simultaneously

• Research patents and technical IP from a single interface

• Summarize and interrogate academic literature in real time

• Create structured literature maps for scientific exploration

Whether you’re building internal tools, research dashboards, or a standalone AI product, ScholarAI MCP allows you to bring all your sources together under one secure, extensible protocol.

Already using Claude Desktop or Cursor?

ScholarAI MCP is optimized for Claude Desktop and other compatible agent systems.

Add the following to your claude_desktop_config.json file:

{
  "mcpServers": {
    "scholarai_api": {
      "command": "npx",
      "args": ["-y", "scholarai-mcp", "--client=claude", "--tools=all"],
      "env": {
        "SCHOLARAI_API_KEY": "your-api-key"
      }
    }
  }
}

Get Started

• Explore the Python SDK

• Explore the TypeScript SDK

• Start with ScholarAI MCP on NPM

• Create your API Key

Built for Security

ScholarAI MCP is designed with compliance and security in mind. Our infrastructure supports HIPAA-aligned workflows, encrypted data flows, and scoped API keys—giving enterprise and clinical teams the confidence to build with real data.

ScholarAI MCP is part of our broader effort to build secure, intelligent, and useful AI infrastructure for researchers and developers.

If you have any questions or need any help, feel free to reach out to info@scholarai.io for more assistance.

We can’t wait to see what you build!