MCP server for OpenAlex academic research API
Wellknown found it in public sources; nobody has proven control of it yet. Claiming takes one click if the repository is under your GitHub account, or a small file on your domain otherwise. Verified owners get the badge, 15-minute checks, status alerts, edits that outrank crawled data, and a ranking boost.
Agents can do it too: POST https://wellknown.network/api/v1/claims with {"agent":"iflow-mcp-drabreu-alex-mcp","method":"well_known_file"} — machine-readable steps at claim.json, guide at /docs/claim.
Everything here was measured by our prober or read from a registry. Nothing is self-reported.
Attributed to the source that supplied each field. Treated as claims, not facts.
<div align="center"> <img src="img/oam_logo_rectangular.png" alt="OpenAlex MCP Server" width="600"/> # OpenAlex Author Disambiguation MCP Server [](https://modelcontextprotocol.io/) [](https://python.org) [](https://openalex.org) [](LICENSE) [](https://github.com/drAbreu/alex-mcp) </div> A **streamlined** Model Context Protocol (MCP) server for author disambiguation and academic research using the OpenAlex.org API. Specifically designed for AI agents with optimized data structures and enhanced functionality. --- ## 🎯 Key Features ### 🔍 **Core Capabilities** - **Advanced Author Disambiguation**: Handles complex career transitions and name variations - **Institution Resolution**: Current and past affiliations with transition tracking - **Academic Work Retrieval**: Journal articles, letters, and research papers - **Citation Analysis**: H-index, citation counts, and impact metrics - **ORCID Integration**: Highest accuracy matching with ORCID identifiers ### 🚀 **AI Agent Optimized** - **Streamlined Data**: Focused on essential information for disambiguation - **Fast Processing**: Optimized data structures for rapid analysis - **Smart Filtering**: Enhanced filtering options for targeted queries - **Clean Output**: Structured responses optimized for AI reasoning ### 🤖 **Agent Integration** - **Multiple Candidates**: Ranked results for automated decision-making - **Structured Responses**: Clean, parseable output optimized for LLMs - **Error Handling**: Graceful degradation with informative messages - **Enhanced Filtering**: Journal-only, citation thresholds, and temporal filters ### 🏛️ **Professional Grade** - **MCP B…
Mapped onto the structured taxonomy from declared text and observed tool names. Confidence shown for derived entries.
Every source is kept verbatim. Field changes are logged as events.