Nerq found 518 MCP servers for file system & documents, ranked below by GitHub stars and weighted compliance score across 52 global AI jurisdictions. The top-ranked MCP server for file system & documents is yusufkaraaslan/Skill_Seekers with 9,717 stars and a trust score of 83/100. MCP servers for reading, writing, and managing files, documents, and cloud storage.
Last updated: March 10, 2026 | 518 servers in this category | Data from Nerq| # | Name | Stars | Trust | Author | License | Description |
|---|---|---|---|---|---|---|
| 1 | yusufkaraaslan/Skill_Seekers | 9,717 | A 83 | yusufkaraaslan | N/A | |
| 2 | oqt-mcp | 0 | A 82 | ToxMCP | Apache-2.0 | |
| 3 | admetlab-mcp | 0 | A 82 | ToxMCP | Apache-2.0 | |
| 4 | pdf-reporter-mcp | 0 | A 81 | alexmakeev | MIT | |
| 5 | mcp-pdf | 4 | A 81 | rsp2k | MIT | |
| 6 | jeffgreendesign/textrawl | 3 | A 81 | jeffgreendesign | MIT | |
| 7 | pdf-filler-mcp | 0 | A 80 | patroqueeet | MIT | |
| 8 | i3T4AN/Vector-Knowledge-Base | 21 | A 80 | i3T4AN | MIT | |
| 9 | mcp-filesystem-go-ultra | 0 | B 79 | scopweb | MIT | |
| 10 | mcp-local-rag | 1 | B 79 | Milliman-CMHH | AGPL-3.0 | |
| 11 | docx-editor-mcp | 0 | B 79 | merzano369 | MIT | |
| 12 | Ollama-MCP | 0 | B 79 | ST1er | MIT | |
| 13 | Ollqd | 0 | B 79 | leomarviegas | Apache-2.0 | |
| 14 | arxiv-mcp-server | 0 | B 78 | kennylhilljr | MIT | |
| 15 | axone-mcp | 2 | B 78 | axone-protocol | BSD-3-Clause | |
| 16 | filesystem-mcp | 1 | B 78 | sandraschi | MIT | |
| 17 | all-in-mcp | 2 | B 77 | isomoes | MIT | |
| 18 | dream-num/univer | 12,436 | B 77 | Unknown | N/A | |
| 19 | Excel-mcp-server | 2 | B 76 | kousunh | MIT | |
| 20 | excel-mcp-server | 838 | B 76 | negokaz | N/A |
MCP servers for reading, writing, and managing files, documents, and cloud storage. Nerq tracks 518 MCP servers in the file system & documents 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.