{"$schema":"https://wellknown.network/schemas/agent-record-v1.json","schemaVersion":"1","id":"ag_zquu9avjrr3z","handle":"artl-mcp","url":"https://wellknown.network/agents/artl-mcp","links":{"self":"https://wellknown.network/agents/artl-mcp/record.json","html":"https://wellknown.network/agents/artl-mcp","markdown":"https://wellknown.network/agents/artl-mcp/record.md","api":"https://wellknown.network/api/v1/agents/artl-mcp","status":"https://wellknown.network/api/v1/agents/artl-mcp/status","claim":"https://wellknown.network/agents/artl-mcp/claim","claimApi":"https://wellknown.network/api/v1/claims","claimDescriptor":"https://wellknown.network/agents/artl-mcp/claim.json","badge":"https://wellknown.network/agents/artl-mcp/badge.svg","openapi":"https://wellknown.network/openapi.json","history":"https://wellknown.network/api/v1/agents/artl-mcp/history","tools":"https://wellknown.network/api/v1/agents/artl-mcp/tools"},"ard":{"identifier":"urn:air::server:artl-mcp","type":"application/mcp-server-card+json"},"kind":"mcp_server","declared":{"name":"artl-mcp","summary":"PydanticAI and MCP approaches for getting textual representations of scientific literature from PMIDs, DOIs, etc.","description":"# ARTL-MCP: All Roads to Literature\n\nAn MCP (Model Context Protocol) server and CLI toolkit for comprehensive scientific literature retrieval and analysis using PMIDs, DOIs, PMCIDs, and keyword searches.\n\n## Quick Start\n\n### MCP Server (Recommended)\n\nAdd this to your Claude Desktop MCP configuration:\n\n```json\n{\n  \"mcpServers\": {\n    \"artl-mcp\": {\n      \"command\": \"uvx\",\n      \"args\": [\"artl-mcp\"]\n    }\n  }\n}\n```\n\n### Standalone CLI\n\n```bash\n# Install and use CLI commands\nuvx artl-cli get-doi-metadata --doi \"10.1038/nature12373\"\nuvx artl-cli search-papers-by-keyword --query \"CRISPR gene editing\" --max-results 5\n```\n\n## Core Features\n\n### 🔍 **Literature Search & Discovery**\n- Keyword-based paper search with advanced filtering\n- Recent publication discovery\n- PubMed search with multiple output formats\n\n### 📄 **Metadata & Content Retrieval**\n- DOI/PMID/PMCID metadata extraction\n- Abstract retrieval from PubMed\n- Full-text access via multiple sources (PMC, Unpaywall, BioC)\n- PDF text extraction and processing\n\n### 🔗 **Identifier Management**\n- Universal identifier conversion (DOI ↔ PMID ↔ PMCID)\n- Support for multiple input formats (URLs, CURIEs, raw IDs)\n- Comprehensive identifier validation\n\n### 📊 **Citation Networks**\n- Reference analysis (papers cited BY a given paper)\n- Citation analysis (papers that CITE a given paper)\n- Multi-source citation data (CrossRef, OpenAlex, Semantic Scholar)\n- Related paper discovery through citation networks\n\n### 💾 **File Management**\n- **MCP Mode**: Returns data directly without file saving (optimal for AI assistants)\n- **CLI Mode**: Full file saving with path reporting and content management\n- **Content size management** - large content automatically handled appropriately\n- **Memory-efficient streaming** for large files (PDFs, datasets)  \n- **Cross-platform filename sanitization**\n- **Multiple output formats** (JSON, TXT, CSV, PDF) in CLI mode\n- **Configurable directories** and temp file management in CLI mode\n\n## Available MCP …","publisher":null,"homepage":"https://github.com/contextualizer-ai/artl-mcp#readme","repository":"https://github.com/contextualizer-ai/artl-mcp#readme","version":"0.34.0","license":"MIT","protocols":["mcp"],"tags":["doi","mcp","pmid","pubmed","scientific-literature"],"pricing":null,"endpoints":[{"url":"pypi:artl-mcp","type":"package_pypi","auth":null,"probeable":false}],"skills":null,"tools":null,"extra":null,"attribution":{"kind":"pypi","name":"pypi","license":"pypi","repoUrl":"pypi","summary":"pypi","version":"pypi","description":"pypi","homepageUrl":"pypi"}},"derived":{"capabilities":[{"slug":"research.academic","name":"Academic Research","confidence":1,"provenance":"declared"}],"categories":["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":"artl-mcp","registry":"pypi","observedAt":"2026-10-21T17:28:00.490Z","publishedAt":"2025-10-30T03:31:17.413690Z","latestVersion":"0.34.0"},"toolSurface":null,"endpointFacts":[]},"verification":{"claimed":false,"claimedAt":null,"proofs":[]},"provenance":{"sources":[{"source":"pypi","key":"artl-mcp","url":"https://pypi.org/project/artl-mcp/","firstSeenAt":"2026-09-09T09:23:45.906Z","fetchedAt":"2026-10-21T17:26:24.601Z","normalizedAt":"2026-10-21T17:26:24.601Z"}]},"firstSeenAt":"2026-09-09T09:23:45.906Z","updatedAt":"2026-10-21T17:28:00.490Z"}