{"$schema":"https://wellknown.network/schemas/agent-record-v1.json","schemaVersion":"1","id":"ag_yrxge55fw6ya","handle":"iflow-mcp-medadapt-content-server","url":"https://wellknown.network/agents/iflow-mcp-medadapt-content-server","links":{"self":"https://wellknown.network/agents/iflow-mcp-medadapt-content-server/record.json","html":"https://wellknown.network/agents/iflow-mcp-medadapt-content-server","markdown":"https://wellknown.network/agents/iflow-mcp-medadapt-content-server/record.md","api":"https://wellknown.network/api/v1/agents/iflow-mcp-medadapt-content-server","status":"https://wellknown.network/api/v1/agents/iflow-mcp-medadapt-content-server/status","claim":"https://wellknown.network/agents/iflow-mcp-medadapt-content-server/claim","claimApi":"https://wellknown.network/api/v1/claims","claimDescriptor":"https://wellknown.network/agents/iflow-mcp-medadapt-content-server/claim.json","badge":"https://wellknown.network/agents/iflow-mcp-medadapt-content-server/badge.svg","openapi":"https://wellknown.network/openapi.json","history":"https://wellknown.network/api/v1/agents/iflow-mcp-medadapt-content-server/history","tools":"https://wellknown.network/api/v1/agents/iflow-mcp-medadapt-content-server/tools"},"ard":{"identifier":"urn:air::server:iflow-mcp-medadapt-content-server","type":"application/mcp-server-card+json"},"kind":"mcp_server","declared":{"name":"iflow-mcp_medadapt-content-server","summary":"A specialized Model Context Protocol (MCP) server for Claude Desktop that enhances AI-assisted medical learning by fetching and processing educational resources from PubMed, NCBI Bookshelf, and user-provided documents.","description":"# MedAdapt Content Server\n\nA specialized Model Context Protocol (MCP) server for Claude Desktop that enhances AI-assisted medical learning by fetching and processing educational resources from PubMed, NCBI Bookshelf, and user-provided documents.\n\n## Overview\n\nThe MedAdapt Content Server integrates with Claude Desktop to provide tools for searching, retrieving, and analyzing medical education content. It serves as a bridge between Claude and medical knowledge sources, allowing for enhanced AI-assisted learning experiences.\n\n## Quick Start\n\n```bash\n# Clone the repository\ngit clone https://github.com/ryoureddy/medadapt-content-server.git\ncd medadapt-content-server\n\n# Install dependencies\npip install -r requirements.txt\n\n# Run the server\npython content_server.py\n```\n\n## Features\n\n- **Content Search**: Search for medical educational content across multiple sources\n- **Resource Retrieval**: Fetch complete articles, book chapters, and user documents\n- **Topic Overviews**: Generate comprehensive overviews of medical topics\n- **Learning Resources**: Suggest appropriate learning resources based on topic and student level\n- **Learning Plans**: Create structured learning plans with objectives and resources\n- **Content Analysis**: Extract key points, methodologies, and findings from medical resources\n- **User Content**: Import and analyze user-provided documents\n\n## Installation\n\n### Standard Installation\n\n1. Clone the repository:\n```bash\ngit clone https://github.com/ryoureddy/medadapt-content-server.git\ncd medadapt-content-server\n```\n\n2. Create a virtual environment (optional but recommended):\n```bash\npython -m venv .venv\nsource .venv/bin/activate  # On Windows, use: .venv\\Scripts\\activate\n```\n\n3. Install dependencies:\n```bash\npip install -r requirements.txt\n```\n\n4. Configure (optional):\n   - Get an NCBI API key for improved rate limits: https://ncbiinsights.ncbi.nlm.nih.gov/2017/11/02/new-api-keys-for-the-e-utilities/\n   - Create a `.env` file based on `.env.example`\n\n## Usag…","publisher":null,"homepage":"https://github.com/iflow-mcp/medadapt-content-server","repository":"https://github.com/iflow-mcp/medadapt-content-server","version":"1.0.0","license":null,"protocols":["mcp"],"tags":["mcp"],"pricing":null,"endpoints":[{"url":"pypi:iflow-mcp_medadapt-content-server","type":"package_pypi","auth":null,"probeable":false}],"skills":null,"tools":null,"extra":null,"attribution":{"kind":"pypi","name":"pypi","repoUrl":"pypi","summary":"pypi","version":"pypi","description":"pypi","homepageUrl":"pypi"}},"derived":{"capabilities":[{"slug":"dev.version-control","name":"Version Control","confidence":1,"provenance":"derived"}],"categories":["dev"],"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_medadapt-content-server","registry":"pypi","observedAt":"2026-09-15T19:23:15.913Z","publishedAt":"2025-11-21T09:21:21.745490Z","latestVersion":"1.0.0"},"toolSurface":null,"endpointFacts":[]},"verification":{"claimed":false,"claimedAt":null,"proofs":[]},"provenance":{"sources":[{"source":"pypi","key":"iflow-mcp_medadapt-content-server","url":"https://pypi.org/project/iflow-mcp_medadapt-content-server/","firstSeenAt":"2026-09-09T20:24:05.485Z","fetchedAt":"2026-09-15T19:21:40.778Z","normalizedAt":"2026-09-15T19:21:40.778Z"}]},"firstSeenAt":"2026-09-09T20:24:05.485Z","updatedAt":"2026-09-15T19:23:15.913Z"}