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SharePoint MCP Server

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sekops-ch

A Model Context Protocol server for browsing and interacting with Microsoft SharePoint sites and documents

Publishersekops-ch
Repositorysharepoint-mcp-server
LanguageJavaScript
Forks
5
Stars
10
Available tools
0
Transport typestdio
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  • Connect tools to AI workflows

    SharePoint MCP Server exposes MCP capabilities that can be used by compatible AI clients and agents.

  • 0 available tools

    Browse the callable actions below, including names and descriptions when provided by the server.

  • Ready-to-copy setup

    Use the installation snippets to configure this server in your preferred MCP client.

  • Open source signals

    10 stars and 5 forks from the linked repository.

SharePoint MCP Server

A Model Context Protocol server for browsing and interacting with Microsoft SharePoint sites and documents.

This TypeScript-based MCP server provides comprehensive SharePoint integration through Microsoft Graph API, enabling:

  • Resources: Access SharePoint sites as MCP resources with structured metadata
  • Tools: Search files, list sites, browse document libraries, and retrieve file content
  • Authentication: Secure OAuth2 client credentials flow with automatic token management

Features

Resources

  • List SharePoint sites accessible to the application
  • Access individual site information via sharepoint://site/{siteId} URIs
  • JSON-formatted site metadata with display names and web URLs

Tools

search_files

Search for files and documents across SharePoint using Microsoft Graph Search API

  • Parameters:
    • query (required): Search query string
    • limit (optional): Maximum results to return (default: 10)

list_sites

List SharePoint sites accessible to the application

  • Parameters:
    • search (optional): Filter sites by display name

get_site_info

Get detailed information about a specific SharePoint site

list_site_drives

List document libraries (drives) in a SharePoint site

  • Parameters:
    • siteUrl (required): SharePoint site URL

list_drive_items

List files and folders in a SharePoint document library

  • Parameters:
    • siteUrl (required): SharePoint site URL
    • driveId (optional): Specific drive ID (uses default drive if not specified)
    • folderPath (optional): Folder path to list items from (default: root)

get_file_content

Get the content of a specific file from SharePoint (text files only)

  • Parameters:
    • siteUrl (required): SharePoint site URL
    • filePath (required): Path to the file
    • driveId (optional): Specific drive ID (uses default drive if not specified)

Prerequisites

Azure App Registration

  1. Register an application in Azure Active Directory
  2. Configure API permissions:
    • Microsoft Graph: Sites.Read.All (Application permission)
    • Microsoft Graph: Files.Read.All (Application permission)
  3. Grant admin consent for the permissions
  4. Create a client secret

Environment Variables

Set the following environment variables:

bash
SHAREPOINT_URL=https://yourtenant.sharepoint.com
TENANT_ID=your-azure-tenant-id
CLIENT_ID=your-azure-app-client-id
CLIENT_SECRET=your-azure-app-client-secret

Development

Install dependencies:

bash
npm install

Build the server:

bash
npm run build

For development with auto-rebuild:

bash
npm run watch

Testing

Test the server using the MCP Inspector:

bash
npm run inspector

The Inspector provides a web interface to test all available tools and resources.

Installation

Claude Desktop Configuration

Add the server to your Claude Desktop configuration:

macOS: ~/Library/Application Support/Claude/claude_desktop_config.json Windows: %APPDATA%/Claude/claude_desktop_config.json

json
{
  "mcpServers": {
    "sharepoint-mcp-server": {
      "command": "node",
      "args": ["/path/to/sharepoint-mcp-server/build/index.js"],
      "env": {
        "SHAREPOINT_URL": "https://yourtenant.sharepoint.com",
        "TENANT_ID": "your-azure-tenant-id",
        "CLIENT_ID": "your-azure-app-client-id",
        "CLIENT_SECRET": "your-azure-app-client-secret"
      }
    }
  }
}

Global Installation

You can also install the server globally:

bash
npm install -g .

Then use it directly:

bash
sharepoint-mcp-server

Architecture

The server implements a service-oriented architecture with clear separation of concerns:

  • Authentication Layer: Handles OAuth2 token acquisition and refresh
  • Graph API Client: Manages HTTP requests to Microsoft Graph API
  • Tool Handlers: Process MCP tool requests and format responses
  • Resource Handlers: Manage SharePoint site resources and metadata
  • Error Handling: Comprehensive error management with proper MCP error codes

Security Considerations

  • Uses OAuth2 client credentials flow for secure authentication
  • Tokens are automatically refreshed before expiration
  • All API requests use HTTPS
  • Client secrets should be stored securely and never committed to version control
  • Application permissions require admin consent in Azure AD

Troubleshooting

Common Issues

  1. Authentication Errors: Verify Azure app registration and permissions
  2. Site Access: Ensure the app has appropriate SharePoint permissions
  3. Network Issues: Check firewall settings for Microsoft Graph API access

Debug Mode

Set environment variable for detailed logging:

bash
DEBUG=sharepoint-mcp-server

Contributing

  1. Follow TypeScript best practices
  2. Maintain comprehensive error handling
  3. Add tests for new functionality
  4. Update documentation for API changes

License

This project is licensed under the Mozilla Public License 2.0. See the LICENSE file for details.

Contributing

We welcome contributions! Please follow these guidelines:

Getting Started

  1. Fork the repository
  2. Create a feature branch (git checkout -b feature/amazing-feature)
  3. Make your changes
  4. Add tests for new functionality
  5. Ensure all tests pass (npm test)
  6. Commit your changes (git commit -m 'Add amazing feature')
  7. Push to the branch (git push origin feature/amazing-feature)
  8. Open a Pull Request

Development Guidelines

  • Follow TypeScript best practices and maintain type safety
  • Implement comprehensive error handling with proper MCP error codes
  • Add JSDoc comments for all public methods and classes
  • Maintain the service-oriented architecture with clear separation of concerns
  • Follow SOLID principles and keep functions focused and testable
  • Update documentation for any API changes

Code Style

  • Use TypeScript strict mode
  • Follow the existing code formatting and naming conventions
  • Remove unused imports and variables
  • Use descriptive variable and function names
  • Prefer composition over inheritance

Testing

  • Add unit tests for new functionality
  • Test error conditions and edge cases
  • Ensure the basic test suite passes
  • Test with real SharePoint environments when possible

Documentation

  • Update README.md for new features or configuration changes
  • Add JSDoc comments for new public APIs
  • Include examples for complex functionality
  • Update the changelog for significant changes

Changelog

[0.1.0] - Initial Release

  • Basic SharePoint integration via Microsoft Graph API
  • Support for searching files across SharePoint
  • Site listing and browsing capabilities
  • Document library access and file content retrieval
  • OAuth2 client credentials authentication
  • MCP resource support for SharePoint sites
  • Comprehensive error handling and logging

Support

If you encounter issues or have questions:

  1. Check the troubleshooting section in this README
  2. Search existing GitHub issues
  3. Create a new issue with detailed information about your problem
  4. Include relevant logs and configuration (without sensitive information)

Acknowledgments

  • Built with the Model Context Protocol SDK
  • Uses Microsoft Graph API for SharePoint integration
  • Inspired by the MCP community and ecosystem

Use SharePoint MCP Server MCP with multiple AI models

TypingMind connects MCP tools at the workspace level, so once SharePoint MCP Server is connected, you can use it with different AI models in TypingMind instead of setting it up separately for each model. This MCP runs locally through the TypingMind MCP connector on your device.

Setup guide to use the local connector

Use this when the MCP server needs access to local files, apps, or private resources on your computer.

1

Open the MCP settings

In TypingMind, go to Settings, Advanced Settings, then Model Context Protocol and choose Setup Connector.

  1. Open TypingMind in your browser.
  2. Click the Settings icon.
  3. Go to Advanced Settings.
  4. Open the Model Context Protocol section.
  5. Click Setup Connector and choose This Device.
TypingMind MCP connector setup screen with This Device selected
2

Run the connector command

Choose This Device, copy the command from TypingMind, and run it in Terminal. Keep the process running while you use MCP.

  1. Copy the setup command shown by TypingMind.
  2. Open Terminal on macOS or Windows Terminal on Windows.
  3. Paste and run the command.
  4. Approve the package install if Terminal asks you to proceed.
  5. Keep the Terminal window running while using MCP tools.
3

Add SharePoint MCP Server as a server

When the connector status is Ready, click Edit Servers and paste the MCP server configuration.

  1. Wait until the connector status shows Ready.
  2. Click Edit Servers.
  3. Paste the SharePoint MCP Server MCP server configuration.
  4. Save the server list.
  5. Refresh if you want to confirm the connector is still ready.
TypingMind MCP settings showing active server and Edit Servers button
{
  "mcpServers": {
    "sharepoint-mcp-server": {
      "command": "npx",
      "args": [
        "-y",
        "<mcp-server-package>"
      ]
    }
  }
}
4

Use it across models

Save the server list, open Plugins, enable the SharePoint MCP Server MCP tools, then select any supported AI model in TypingMind and use the tools in chat or assign them to an AI agent.

  1. Open the Plugins page in TypingMind.
  2. Enable the SharePoint MCP Server MCP tools.
  3. Start a chat and choose the AI model you want to use.
  4. Use the MCP tools in chat or assign them to an AI agent.
  5. Switch to another AI model whenever needed without reconnecting MCP.
TypingMind chat using enabled MCP tools with a selected AI model
Can you use SharePoint MCP Server to help me with this task?
SharePoint MCP Server
Sure. I read it.
Here is what I found using SharePoint MCP Server.

Frequently asked questions

What is the SharePoint MCP Server MCP server used for?

SharePoint MCP Server is an MCP server that lets compatible AI clients connect to external tools and context. In TypingMind, you can add this MCP server once and make its tools available in your AI workspace.

Can I use SharePoint MCP Server MCP with multiple AI models in TypingMind?

Yes. TypingMind connects MCP tools at the workspace level, so you can use SharePoint MCP Server with different AI models such as Claude, ChatGPT, Gemini, or other models you have configured in TypingMind without setting up the MCP server separately for each model.

Why use SharePoint MCP Server MCP with TypingMind?

TypingMind is one of the best frontends for LLM chat because it brings multiple AI models, prompts, plugins, AI agents, API keys, and MCP tools into one workspace. With SharePoint MCP Server connected, you can use its MCP tools across your preferred models while keeping your chat workflow organized in TypingMind.

How do I connect SharePoint MCP Server MCP to TypingMind?

SharePoint MCP Server runs through the TypingMind local MCP connector. This is best when the MCP server needs access to local files, desktop apps, command-line tools, or private resources on your computer.

What tools does SharePoint MCP Server MCP provide in TypingMind?

SharePoint MCP Server exposes MCP capabilities that can be enabled from the TypingMind Plugins page and used in chat or assigned to AI agents.

Do I need to share my API keys with TypingMind to use SharePoint MCP Server MCP?

No. TypingMind is local-first and lets you keep your model providers, API keys, prompts, and MCP configuration under your control. If SharePoint MCP Server requires authentication, add the required headers, OAuth settings, or local configuration for that MCP server when you create the connection.

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