Nerq found 674 MCP servers for education & learning, ranked below by GitHub stars and weighted compliance score across 52 global AI jurisdictions. The top-ranked MCP server for education & learning is mcp-server-for-revit-python with 88 stars and a trust score of 85/100. MCP servers for educational tools, learning management, and academic research.
Last updated: March 10, 2026 | 674 servers in this category | Data from Nerq| # | Name | Stars | Trust | Author | License | Description |
|---|---|---|---|---|---|---|
| 1 | mcp-server-for-revit-python | 88 | A 85 | mcp-servers-for-revit | MIT | |
| 2 | mark3labs/mcphost | 1,559 | A 84 | mark3labs | MIT | |
| 3 | whatsapp-mcp-server | 0 | A 84 | ydmw74 | MIT | |
| 4 | local-llm-mcp-server | 0 | A 84 | georgepok | MIT | |
| 5 | jalpp/chessagine-mcp | 18 | A 83 | jalpp | MIT | |
| 6 | mendix-mcp-server | 2 | A 82 | jordnlvr | MIT | |
| 7 | mindpm | 0 | A 82 | umitkavala | Apache-2.0 | |
| 8 | GhidraMCP-12 | 1 | A 81 | ismaelcaraballo-afk | Apache-2.0 | |
| 9 | tiger-salesforce-mcp-server | 22 | A 81 | timescale | Apache-2.0 | |
| 10 | openclawd | 3 | A 80 | rohitg00 | MIT | |
| 11 | paper-download-mcp | 1 | A 80 | Oxidane-bot | MIT | |
| 12 | IDA-SDK-Workflow-MCP | 0 | B 80 | Taardisaa | MIT | |
| 13 | mcp-arxiv-research-server | 0 | B 80 | Muhammadyousafrana | MIT | |
| 14 | observium-mcp | 1 | B 80 | kdesch5000 | MIT | |
| 15 | arxiv-mcp | 1 | B 80 | Ractorrr | MIT | |
| 16 | papers | 0 | B 79 | mmgeorge | MIT | |
| 17 | mcp-git | 0 | B 79 | mehdig-dev | Apache-2.0 | |
| 18 | anchor-mcp | 0 | B 79 | Arkya-AI | MIT | |
| 19 | Rudra-ravi/wikipedia-mcp | 186 | B 79 | Unknown | N/A | |
| 20 | mcp-github | 0 | B 79 | mehdig-dev | Apache-2.0 |
MCP servers for educational tools, learning management, and academic research. Nerq tracks 674 MCP servers in the education & learning category, each assessed against 52 global AI regulations including the EU AI Act, US state AI laws (California SB53, Colorado SB205), UK AI Bill, and more. Compliance scores are weighted by jurisdiction penalty severity — jurisdictions with higher fines (like the EU AI Act at up to €35M) have more impact on the score than voluntary frameworks.
All data is updated regularly. Use the Nerq API or MCP Server for programmatic access.