🎓 Research MCP — AI Paper Search & Citations

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🎓 Research MCP — AI Paper Search & Citations

nexgendata/academic-research-mcp-server

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MCP server for AI agents to search ArXiv & Google Scholar for papers. Connect Claude, GPT or any AI to research databases. 2 tools for academic intelligence.

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Stephan Corbeil

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Academic Research MCP Server by nexgendata

Connect AI agents to structured academic research data through the Model Context Protocol. This MCP server gives LLM-powered applications direct access to academic research tools, returning clean JSON that agents can reason about and act on.

What This MCP Server Does

This MCP (Model Context Protocol) server exposes academic research data tools that AI assistants like Claude, ChatGPT, and custom LLM agents can call directly. Instead of building API integrations or writing scraping code, any MCP-compatible AI system can access structured academic research data through natural language requests. The server handles authentication, rate limiting, data extraction, and response formatting automatically.

Who Uses This

AI developers building agents that need access to academic research data. Companies integrating real-time data into their LLM-powered products. Research teams using AI assistants for automated data gathering. Automation platforms connecting AI agents to structured data sources. Anyone building on top of the Model Context Protocol ecosystem.

How It Works

Deploy this MCP server on Apify and connect it to any MCP-compatible client. The server exposes a set of tools that accept structured parameters and return clean JSON responses. AI agents can discover available tools, understand their parameters, and call them as part of multi-step reasoning chains. The server runs on Apify infrastructure with built-in proxy support, caching, and error handling.

Available Tools

The server provides tools for searching ArXiv papers, retrieving Google Scholar citations, accessing research abstracts, and tracking publication trends. Each tool accepts specific parameters, handles the underlying data extraction, and returns structured JSON that AI agents can parse and reason about. Tools are designed to be composable so agents can chain multiple calls together for complex data gathering workflows.

Pricing

This MCP server uses pay-per-event pricing. Each tool call that returns data counts as one event. Pricing is consistent with the underlying data actors at $3 per 1,000 events, making it cost-effective to integrate into production AI agent workflows.

Getting Started

Deploy the MCP server from the Apify Store. Configure your MCP client (Claude Desktop, custom agent, etc.) with the server endpoint URL. The server auto-discovers available tools and exposes them to your AI system. No additional configuration needed.

FAQ

**Is this compatible with Claude Desktop?**Yes. Any MCP-compatible client can connect to this server, including Claude Desktop, custom LLM agents, and automation platforms that support the Model Context Protocol.

**Do I need separate API keys?**No. The server handles all data access internally through Apify infrastructure. You only need your Apify API token to deploy and connect.

**Can I use this in production?**Yes. The server runs on Apify's scalable infrastructure with built-in monitoring, logging, and error handling suitable for production workloads.

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