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Securely read synced SharePoint and OneDrive files and query Excel data.
Copy the install command and let the AI configure it · recommended for beginners
No copy-paste install info for "MCP-Local-SharePoint-Server-Setup" yet — see the docs or source repo.
List files in my locally synced SharePoint/OneDrive folders and search for files with “budget” in the name.
A list of accessible files, plus filtered results matching “budget” in file names.
In a locally synced Excel workbook, find the “Sales” sheet, filter rows where region is “East China,” and aggregate total sales.
Rows matching the filter, along with an aggregated total sales result.
List locally synced SharePoint/OneDrive files accessible in the sandbox and indicate which ones are Excel workbooks.
An inventory of accessible files, identifying which ones are Excel workbooks.
Office workers can list and search files in locally synced SharePoint or OneDrive folders to quickly locate needed documents. It fits workflows that rely on local sync directories instead of direct cloud browsing.
Data analysts can query, filter, and aggregate data in locally synced Excel workbooks to review results under specific conditions. This is useful for routine reporting checks and basic data validation.
Teams that need controlled access can use its strict sandbox to read locally synced files in a read-only manner, reducing the risk of accidental edits. It suits enterprise environments where querying is allowed but writing is restricted.
It provides read-only access to locally synced SharePoint/OneDrive files. You can list files, search them, and query Excel workbooks with filtering and aggregation.
Based on the description, it runs inside a strict sandbox and provides read-only access. From the given information, it is not meant for writing or modifying files.
The provided material does not include installation steps, runtime requirements, or key details. For exact prerequisites, see the source repository.
Enable AI to securely read, edit, and manage SharePoint documents with audit history.
Let AI read, search, summarize, and answer questions about local files.
Securely read and analyze local CSV, JSON, PDF, and other project files.
Securely let AI read, search, and edit local files with local LLMs.
Query ERP, spreadsheets, and local files through one unified data access tool.
Read and inspect local Excel files, metadata, ranges, and workbook structure.