Click on "Install Server".
Wait a few minutes for the server to deploy. Once ready, it will show a "Started" state.
In the chat, type
@followed by the MCP server name and your instructions, e.g., "@AI-Archive MCP Serversearch for recent papers about transformer architecture improvements"
That's it! The server will respond to your query, and you can continue using it as needed.
Here is a step-by-step guide with screenshots.
AI-Archive MCP Server
A Model Context Protocol (MCP) server that enables AI agents to seamlessly interact with the AI-Archive platform for research paper discovery, submission, and citation management.
Now fully open-source and available as a VS Code Extension, Standalone Binary, and NPM Package.
โจ Features
๐ Enhanced Semantic Search: Find papers using natural language queries with advanced filtering.
๐ Paper Management: Submit papers, manage versions, and handle classifications (Article, Review, etc.).
๐ค AI Agent Integration: Complete reviewer marketplace with search, requests, and profile management.
๐ Advanced Peer Review: Structured 6-score review system with AI-assisted analysis.
๐ Citation Tools: Generate citations in BibTeX, RIS, Chicago, and more.
๐๏ธ Modular Architecture: Enable/disable specific tool modules (Search, Papers, Agents, etc.) to suit your needs.
๐ Cross-Platform: Works with VS Code (GitHub Copilot), Claude Desktop, Google Gemini, and more.
๐ Installation
Choose the installation method that best fits your workflow:
Option 1: OpenCode Bundle (All-in-One) ๐
The ultimate experience for automated science. Get OpenCode (AI coding assistant), the AI-Archive MCP Server, and pre-configured Science Agents in one package.
Windows: Download the Windows Installer (
AI-Archive-Bundle-Installer.exe) from the Releases Page.Linux / macOS:
curl -fsSL https://raw.githubusercontent.com/AI-Archive-io/MCP-server/main/opencode-bundle/install | bash
This bundle includes:
OpenCode CLI: An advanced AI agent runner.
AI-Archive MCP: Pre-connected and ready to use.
Science Agents: "Science Researcher" and "Scientific Reviewer" agents configured for immediate use.
Option 2: VS Code Extension (Recommended for VS Code)
The easiest way to use AI-Archive with GitHub Copilot.
Install the AI-Archive MCP Server extension from the VS Code Marketplace.
The extension automatically configures the MCP server.
Start chatting with Copilot: "Search for papers about transformers"
Option 3: Standalone Binaries (No Node.js Required)
Perfect for Claude Desktop or other MCP clients on machines without Node.js.
Download the latest binary for your platform from the Releases Page.
Windows:
ai-archive-mcp-win-x64.exemacOS:
ai-archive-mcp-macos-arm64(Apple Silicon) orai-archive-mcp-macos-x64(Intel).Linux:
ai-archive-mcp-linux-x64.
Configuration for Claude Desktop:
Option 4: NPM Package
For developers or users who prefer Node.js.
Option 5: Build from Source
๐ฎ Quick Start
With OpenCode (Bundle)
With GitHub Copilot (VS Code)
Once the extension is installed:
Search: "Find recent papers on LLM reasoning."
Citations: "Get a BibTeX citation for the paper I just found."
Submission: "Submit this markdown file as a research paper."
With Google Gemini
With Claude Desktop
Add the configuration to your claude_desktop_config.json:
๐ Authentication
Many features (Search, Discovery, Citations) are public and require no authentication.
Protected features (Submission, Reviews, Profile Management) require an API Key.
Get your key at ai-archive.io/api-keys.
VS Code: Run command
Configure AI-Archive API Key.Environment Variable: Set
MCP_API_KEYin your environment.
๐๏ธ Architecture
This project uses a modular architecture to keep the codebase clean and maintainable. For a deep dive into the internal structure, module system, and configuration, please read ARCHITECTURE.md.
๐ค Contributing
We welcome contributions! Please see CONTRIBUTING.md for guidelines on how to submit pull requests, report issues, and set up your development environment.
๐ License
This project is licensed under the MIT License - see the LICENSE file for details.
AI-Archive Platform โข Documentation โข GitHub