MCP server for SharePoint document libraries with audit-preserving checkout/checkin.
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":"mcp-server-sharepoint","method":"well_known_file"} — machine-readable steps at claim.json, guide at /docs/claim.
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<!-- SPDX-License-Identifier: MIT OR Apache-2.0 --> # mcp-server-sharepoint [](https://pypi.org/project/mcp-server-sharepoint/) [](https://pypi.org/project/mcp-server-sharepoint/) [](https://pypi.org/project/mcp-server-sharepoint/) [](https://github.com/XMV-Solutions-GmbH/sharepoint-mcp/blob/main/LICENSE) [](https://github.com/XMV-Solutions-GmbH/sharepoint-mcp/actions/workflows/ci.yml) [](https://codecov.io/gh/XMV-Solutions-GmbH/sharepoint-mcp) [](https://github.com/XMV-Solutions-GmbH/sharepoint-mcp/issues) > **In one sentence:** an [MCP](https://modelcontextprotocol.io) server that lets AI coding agents like Claude Code edit files in your SharePoint document libraries **the same way a careful human would** — with proper checkout, comments, version history, and lock conflicts — instead of overwriting things and breaking your audit trail. ## What is this for? You have important documents in SharePoint — ISO 27001 controls, contract templates, ISMS records, runbooks, a quality manual. They have version history, audit trails, retention policies, and someone above you cares that they stay compliant. You'd love to let AI agents help you draft and update these documents — they're great at it. But every other "AI + SharePoint" tool you've tried makes the audit log say *"a robot named rclone updated this file at 03:42 with no comment"* — which m…
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