{"$schema":"https://wellknown.network/schemas/agent-record-v1.json","schemaVersion":"1","id":"ag_b2876p9hv2jk","handle":"iflow-mcp-paper-search-mcp","url":"https://wellknown.network/agents/iflow-mcp-paper-search-mcp","links":{"self":"https://wellknown.network/agents/iflow-mcp-paper-search-mcp/record.json","html":"https://wellknown.network/agents/iflow-mcp-paper-search-mcp","markdown":"https://wellknown.network/agents/iflow-mcp-paper-search-mcp/record.md","api":"https://wellknown.network/api/v1/agents/iflow-mcp-paper-search-mcp","status":"https://wellknown.network/api/v1/agents/iflow-mcp-paper-search-mcp/status","claim":"https://wellknown.network/agents/iflow-mcp-paper-search-mcp/claim","claimApi":"https://wellknown.network/api/v1/claims","claimDescriptor":"https://wellknown.network/agents/iflow-mcp-paper-search-mcp/claim.json","badge":"https://wellknown.network/agents/iflow-mcp-paper-search-mcp/badge.svg","openapi":"https://wellknown.network/openapi.json","history":"https://wellknown.network/api/v1/agents/iflow-mcp-paper-search-mcp/history","tools":"https://wellknown.network/api/v1/agents/iflow-mcp-paper-search-mcp/tools"},"ard":{"identifier":"urn:air::server:iflow-mcp-paper-search-mcp","type":"application/mcp-server-card+json"},"kind":"mcp_server","declared":{"name":"iflow-mcp_paper-search-mcp","summary":"A MCP server for searching and downloading academic papers from multiple sources.","description":"# Paper Search MCP\n\nA Model Context Protocol (MCP) server for searching and downloading academic papers from multiple sources, including arXiv, PubMed, bioRxiv, and Sci-Hub (optional). Designed for seamless integration with large language models like Claude Desktop.\n\n![PyPI](https://img.shields.io/pypi/v/paper-search-mcp.svg) ![License](https://img.shields.io/badge/license-MIT-blue.svg) ![Python](https://img.shields.io/badge/python-3.10+-blue.svg)\n[![smithery badge](https://smithery.ai/badge/@openags/paper-search-mcp)](https://smithery.ai/server/@openags/paper-search-mcp)\n\n---\n\n## Table of Contents\n\n- [Overview](#overview)\n- [Features](#features)\n- [Installation](#installation)\n  - [Quick Start](#quick-start)\n    - [Install Package](#install-package)\n    - [Configure Claude Desktop](#configure-claude-desktop)\n  - [For Development](#for-development)\n    - [Setup Environment](#setup-environment)\n    - [Install Dependencies](#install-dependencies)\n- [Contributing](#contributing)\n- [Demo](#demo)\n- [License](#license)\n- [TODO](#todo)\n\n---\n\n## Overview\n\n`paper-search-mcp` is a Python-based MCP server that enables users to search and download academic papers from various platforms. It provides tools for searching papers (e.g., `search_arxiv`) and downloading PDFs (e.g., `download_arxiv`), making it ideal for researchers and AI-driven workflows. Built with the MCP Python SDK, it integrates seamlessly with LLM clients like Claude Desktop.\n\n---\n\n## Features\n\n- **Multi-Source Support**: Search and download papers from arXiv, PubMed, bioRxiv, medRxiv, Google Scholar, IACR ePrint Archive, Semantic Scholar.\n- **Standardized Output**: Papers are returned in a consistent dictionary format via the `Paper` class.\n- **Asynchronous Tools**: Efficiently handles network requests using `httpx`.\n- **MCP Integration**: Compatible with MCP clients for LLM context enhancement.\n- **Extensible Design**: Easily add new academic platforms by extending the `academic_platforms` module.\n\n---\n\n## In…","publisher":null,"homepage":null,"repository":null,"version":"0.1.3","license":null,"protocols":["mcp"],"tags":["mcp"],"pricing":null,"endpoints":[{"url":"pypi:iflow-mcp_paper-search-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"}},"derived":{"capabilities":[{"slug":"dev.package-management","name":"Packages & Dependencies","confidence":1,"provenance":"derived"},{"slug":"research.academic","name":"Academic Research","confidence":1,"provenance":"derived"},{"slug":"productivity.tasks","name":"Tasks & To-do","confidence":0.745,"provenance":"derived"}],"categories":["dev","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":"iflow-mcp_paper-search-mcp","registry":"pypi","observedAt":"2026-09-15T19:23:28.736Z","publishedAt":"2025-11-07T05:43:48.259970Z","latestVersion":"0.1.3"},"toolSurface":null,"endpointFacts":[]},"verification":{"claimed":false,"claimedAt":null,"proofs":[]},"provenance":{"sources":[{"source":"pypi","key":"iflow-mcp_paper-search-mcp","url":"https://pypi.org/project/iflow-mcp_paper-search-mcp/","firstSeenAt":"2026-09-09T20:24:54.250Z","fetchedAt":"2026-09-15T19:22:29.639Z","normalizedAt":"2026-09-15T19:22:29.639Z"}]},"firstSeenAt":"2026-09-09T20:24:54.250Z","updatedAt":"2026-09-15T19:23:28.736Z"}