Nerq found 678 MCP servers for cursor ide, ranked below by GitHub stars and weighted compliance score across 52 global AI jurisdictions. The top-ranked MCP server for cursor ide is kridaydave/File-Organizer-MCP with 30 stars and a trust score of 84/100. Top MCP servers for Cursor, the AI-first code editor, ranked by trust score and compliance.
Last updated: March 10, 2026 | 678 servers in this category | Data from Nerq| # | Name | Stars | Trust | Author | License | Description |
|---|---|---|---|---|---|---|
| 1 | kridaydave/File-Organizer-MCP | 30 | A 84 | kridaydave | MIT | |
| 2 | nirholas/github-to-mcp | 11 | A 82 | nirholas | Apache-2.0 | |
| 3 | demo-recorder-mcp | 0 | A 81 | Schimuneck | MIT | |
| 4 | czlonkowski/n8n-mcp | 13,805 | A 81 | czlonkowski | N/A | |
| 5 | win8428/smartlead-mcp-server | 3 | A 80 | win8428 | MIT | |
| 6 | telegram-mcp-server | 0 | A 80 | tytsxai | Apache-2.0 | |
| 7 | make-mcp | 2 | A 80 | danishashko | MIT | |
| 8 | Azure/mcp-kubernetes | 50 | B 80 | Azure | MIT | |
| 9 | advanced-trello-mcp-server | 4 | B 80 | adriangrahldev | MIT | |
| 10 | doITmagic/rag-code-mcp | 20 | B 79 | doITmagic | MIT | |
| 11 | sieve-mcp | 0 | B 79 | lmwharton | MIT | |
| 12 | grizzly-sms-mcp | 0 | B 79 | GrizzlySMS-Git | MIT | |
| 13 | contextstream/mcp-server | 23 | B 78 | contextstream | MIT | |
| 14 | codexray | 2 | B 78 | NeuralRays | MIT | |
| 15 | neverinfamous/memory-journal-mcp | 11 | B 78 | neverinfamous | N/A | |
| 16 | vaiz-mcp | 1 | B 78 | vaizcom | MIT | |
| 17 | doc-mcp-server | 1 | B 78 | hwc2357300448 | MIT | |
| 18 | cursor-talk-to-figma-mcp | 6,332 | B 78 | grab | N/A | |
| 19 | fastapi_mcp | 11,567 | B 78 | tadata-org | N/A | |
| 20 | cipher | 3,529 | B 77 | campfirein | N/A |
Top MCP servers for Cursor, the AI-first code editor, ranked by trust score and compliance. Nerq tracks 678 MCP servers in the cursor ide 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.
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