{"$schema":"https://wellknown.network/schemas/agent-record-v1.json","schemaVersion":"1","id":"ag_bhuk88tqbqmd","handle":"iflow-mcp-chrismannina-pubmed-mcp-server","url":"https://wellknown.network/agents/iflow-mcp-chrismannina-pubmed-mcp-server","links":{"self":"https://wellknown.network/agents/iflow-mcp-chrismannina-pubmed-mcp-server/record.json","html":"https://wellknown.network/agents/iflow-mcp-chrismannina-pubmed-mcp-server","markdown":"https://wellknown.network/agents/iflow-mcp-chrismannina-pubmed-mcp-server/record.md","api":"https://wellknown.network/api/v1/agents/iflow-mcp-chrismannina-pubmed-mcp-server","status":"https://wellknown.network/api/v1/agents/iflow-mcp-chrismannina-pubmed-mcp-server/status","claim":"https://wellknown.network/agents/iflow-mcp-chrismannina-pubmed-mcp-server/claim","claimApi":"https://wellknown.network/api/v1/claims","claimDescriptor":"https://wellknown.network/agents/iflow-mcp-chrismannina-pubmed-mcp-server/claim.json","badge":"https://wellknown.network/agents/iflow-mcp-chrismannina-pubmed-mcp-server/badge.svg","openapi":"https://wellknown.network/openapi.json","history":"https://wellknown.network/api/v1/agents/iflow-mcp-chrismannina-pubmed-mcp-server/history","tools":"https://wellknown.network/api/v1/agents/iflow-mcp-chrismannina-pubmed-mcp-server/tools"},"ard":{"identifier":"urn:air::server:iflow-mcp-chrismannina-pubmed-mcp-server","type":"application/mcp-server-card+json"},"kind":"mcp_server","declared":{"name":"iflow-mcp_chrismannina-pubmed-mcp-server","summary":"A comprehensive PubMed Model Context Protocol (MCP) server","description":"# PubMed MCP Server\n\n[![CI](https://github.com/chrismannina/pubmed-mcp/actions/workflows/ci.yml/badge.svg)](https://github.com/chrismannina/pubmed-mcp/actions/workflows/ci.yml)\n\nA comprehensive Model Context Protocol (MCP) server for PubMed literature search and management. This server provides advanced search capabilities, citation formatting, and research analysis tools through the MCP protocol.\n\n<a href=\"https://glama.ai/mcp/servers/@chrismannina/pubmed-mcp\">\n  <img width=\"380\" height=\"200\" src=\"https://glama.ai/mcp/servers/@chrismannina/pubmed-mcp/badge\" alt=\"PubMed Server MCP server\" />\n</a>\n\n## Features\n\n- **Advanced PubMed Search**: Search with complex filters including date ranges, article types, authors, journals, and MeSH terms\n- **Article Details**: Retrieve detailed information for specific PMIDs including abstracts, authors, and metadata\n- **Citation Export**: Export citations in multiple formats (BibTeX, APA, MLA, Chicago, Vancouver, EndNote, RIS)\n- **Author Search**: Find articles by specific authors with co-author information\n- **Related Articles**: Discover articles related to a specific PMID\n- **MeSH Term Search**: Search and explore Medical Subject Headings\n- **Journal Analysis**: Get metrics and recent articles from specific journals\n- **Research Trends**: Analyze publication trends over time\n- **Article Comparison**: Compare multiple articles side by side\n- **Caching**: Built-in caching for improved performance\n- **Rate Limiting**: Respectful API usage with configurable rate limits\n\n## Installation\n\n### Prerequisites\n\n- Python 3.8 or higher\n- NCBI API key (free registration required)\n- Valid email address for NCBI API identification\n\n### Quick Start\n\n1. **Clone the repository:**\n   ```bash\n   git clone https://github.com/your-org/pubmed-mcp.git\n   cd pubmed-mcp\n   ```\n\n2. **Install dependencies:**\n   ```bash\n   pip install -r requirements.txt\n   ```\n\n3. **Set up environment variables:**\n   ```bash\n   cp env.example .env\n   # Edit .env with your…","publisher":{"name":"Agent Care Team","url":null},"homepage":"https://github.com/your-org/pubmed-mcp","repository":"https://github.com/your-org/pubmed-mcp/issues","version":"1.0.0","license":"MIT","protocols":["mcp"],"tags":["pubmed","mcp","medical","literature","search","api"],"pricing":null,"endpoints":[{"url":"pypi:iflow-mcp_chrismannina-pubmed-mcp-server","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","publisherName":"pypi"}},"derived":{"capabilities":[{"slug":"dev.version-control","name":"Version Control","confidence":1,"provenance":"derived"},{"slug":"research.academic","name":"Academic Research","confidence":1,"provenance":"declared"},{"slug":"dev.ci-cd","name":"CI/CD & Deploy","confidence":0.688,"provenance":"derived"}],"categories":["dev","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_chrismannina-pubmed-mcp-server","registry":"pypi","observedAt":"2026-09-15T17:23:11.096Z","publishedAt":"2026-02-26T11:51:02.643066Z","latestVersion":"1.0.0"},"toolSurface":null,"endpointFacts":[]},"verification":{"claimed":false,"claimedAt":null,"proofs":[]},"provenance":{"sources":[{"source":"pypi","key":"iflow-mcp_chrismannina-pubmed-mcp-server","url":"https://pypi.org/project/iflow-mcp_chrismannina-pubmed-mcp-server/","firstSeenAt":"2026-09-09T18:21:12.826Z","fetchedAt":"2026-09-15T17:21:46.730Z","normalizedAt":"2026-09-15T17:21:46.730Z"}]},"firstSeenAt":"2026-09-09T18:21:12.826Z","updatedAt":"2026-09-15T17:23:11.096Z"}