{"$schema":"https://wellknown.network/schemas/agent-record-v1.json","schemaVersion":"1","id":"ag_h7jfmvy9j9cb","handle":"academic-mcp","url":"https://wellknown.network/agents/academic-mcp","links":{"self":"https://wellknown.network/agents/academic-mcp/record.json","html":"https://wellknown.network/agents/academic-mcp","markdown":"https://wellknown.network/agents/academic-mcp/record.md","api":"https://wellknown.network/api/v1/agents/academic-mcp","status":"https://wellknown.network/api/v1/agents/academic-mcp/status","claim":"https://wellknown.network/agents/academic-mcp/claim","claimApi":"https://wellknown.network/api/v1/claims","claimDescriptor":"https://wellknown.network/agents/academic-mcp/claim.json","badge":"https://wellknown.network/agents/academic-mcp/badge.svg","openapi":"https://wellknown.network/openapi.json","history":"https://wellknown.network/api/v1/agents/academic-mcp/history","tools":"https://wellknown.network/api/v1/agents/academic-mcp/tools"},"ard":{"identifier":"urn:air::server:academic-mcp","type":"application/mcp-server-card+json"},"kind":"mcp_server","declared":{"name":"academic-mcp","summary":"A MCP server for searching and downloading academic papers from multiple sources.","description":"# 📚 Academic MCP\n\n[English](README.md) | [中文](README_zh.md)\n\n🔬 `academic-mcp` is a Python-based MCP server that enables users to search, download, and read academic papers from various platforms. It provides three main tools:\n- 🔎 **`paper_search`**: Search papers across multiple academic databases\n- 📥 **`paper_download`**: Download paper PDFs, return paths of downloaded files\n- 📖 **`paper_read`**: Extract and read text content from papers\n\n![PyPI](https://img.shields.io/pypi/v/academic-mcp.svg) ![License](https://img.shields.io/badge/license-MIT-blue.svg) ![Python](https://img.shields.io/badge/python-3.10+-blue.svg)\n\n---\n\n## 📑 Table of Contents\n\n- [🎬 Screenshot](#-screenshot)\n- [📝 TODO](#-todo)\n- [✨ Features](#-features)\n- [📦 Installation](#-installation)\n  - [⚡ Quick Start](#-quick-start)\n  - [🛠️ For Development](#️-for-development)\n- [🚀 Usage](#-usage)\n  - [🔎 Search Papers](#1-search-papers-paper_search)\n  - [📥 Download Papers](#2-download-papers-paper_download)\n  - [📖 Read Papers](#3-read-papers-paper_read)\n  - [⚙️ Environment Variables](#️-environment-variables)\n- [🤝 Contributing](#-contributing)\n- [📄 License](#-license)\n\n---\n\n## ✨ Features\n\n- 🌐 **Multi-Source Support**: Search and download papers from 19+ academic databases including arXiv, PubMed, PubMed Central, bioRxiv, medRxiv, Google Scholar, IACR ePrint Archive, Semantic Scholar, CrossRef, Science Direct, Springer, IEEE Xplore, Scopus, CORE, and more.\n- 🎯 **Unified Interface**: All platforms accessible through consistent `paper_search`, `paper_download`, and `paper_read` tools.\n- 📊 **Standardized Output**: Papers are returned in a consistent dictionary format via the `Paper` class.\n- ⚡ **Asynchronous Operations**: Efficiently handles concurrent searches and downloads using `httpx` and async/await.\n- 🔌 **MCP Integration**: Compatible with MCP clients for LLM context enhancement.\n- 🧩 **Extensible Design**: Easily add new academic platforms by extending the `sources` module.\n\n## 🎬 Scre…","publisher":{"name":"Xueyuan Lin","url":null},"homepage":null,"repository":null,"version":"0.1.10","license":null,"protocols":["mcp"],"tags":["mcp"],"pricing":null,"endpoints":[{"url":"pypi:academic-mcp","type":"package_pypi","auth":null,"probeable":false}],"skills":null,"tools":null,"extra":null,"attribution":{"kind":"pypi","name":"pypi","summary":"pypi","version":"pypi","description":"pypi","publisherName":"pypi"}},"derived":{"capabilities":[{"slug":"research.academic","name":"Academic Research","confidence":1,"provenance":"derived"},{"slug":"productivity.tasks","name":"Tasks & To-do","confidence":0.745,"provenance":"derived"}],"categories":["productivity","research"],"language":"en"},"observed":{"status":"unknown","statusReason":"Distributed as a package to run locally; no network endpoint to check.","lastOkAt":null,"lastProbedAt":null,"statusComputedAt":null,"reliability30d":null,"latestObservations":[],"tools":null,"package":{"name":"academic-mcp","registry":"pypi","observedAt":"2026-10-21T16:30:44.698Z","publishedAt":"2026-07-29T06:44:36.692900Z","latestVersion":"0.1.10"},"toolSurface":null,"endpointFacts":[]},"verification":{"claimed":false,"claimedAt":null,"proofs":[]},"provenance":{"sources":[{"source":"pypi","key":"academic-mcp","url":"https://pypi.org/project/academic-mcp/","firstSeenAt":"2026-09-09T08:20:14.996Z","fetchedAt":"2026-10-21T16:29:12.333Z","normalizedAt":"2026-10-21T16:29:12.333Z"}]},"firstSeenAt":"2026-09-09T08:20:14.996Z","updatedAt":"2026-10-21T16:30:44.698Z"}