MCP server for Egnyte — enables Claude to interact with Egnyte data and workflows.
Add new capabilities to Claude beyond text generation
Example: Access external data sources, execute code, interact with tools and services
Transform Claude from chatbot to action-taking agent
Provide Claude with access to relevant context and data
Example: Load project documentation, access knowledge bases, query databases
Get more accurate, context-aware responses
Automate multi-step workflows combining AI and external tools
Example: Research → Summarize → Create document → Send notification
Complete complex tasks end-to-end without manual steps
Time estimate: 15-60 minutes depending on server complexity
Prerequisites
Box
MCP server for Box — enables Claude to interact with Box data and workflows.
Gmail
MCP server for Gmail — enables Claude to interact with Gmail data and workflows.
Google Calendar
MCP server for Google Calendar — enables Claude to interact with Google Calendar data and workflows.
Slack
MCP server for Slack — enables Claude to interact with Slack data and workflows.
Egnyte is among the better-indexed MCP projects we tried; the explainx.ai summary tracks the official description.
I recommend Egnyte for teams standardizing on MCP; the explainx.ai page compares cleanly with sibling servers.
Egnyte reduced integration guesswork — categories and install configs on the listing matched the upstream repo.
We wired Egnyte into a staging workspace; the listing’s GitHub and npm pointers saved time versus hunting across READMEs.
Egnyte reduced integration guesswork — categories and install configs on the listing matched the upstream repo.
Strong directory entry: Egnyte surfaces stars and publisher context so we could sanity-check maintenance before adopting.
We evaluated Egnyte against two servers with overlapping tools; this profile had the clearer scope statement.
Egnyte is a well-scoped MCP server in the explainx.ai directory — install snippets and categories matched our Claude Code setup.
We wired Egnyte into a staging workspace; the listing’s GitHub and npm pointers saved time versus hunting across READMEs.
Egnyte reduced integration guesswork — categories and install configs on the listing matched the upstream repo.
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Claude Desktop configuration
{
"mcpServers": {
"egnyte": {
"type": "http",
"url": "https://mcp-server.egnyte.com/mcp"
}
}
}Egnyte MCP server for Claude integration. Enables AI assistants to interact with Egnyte data and workflows.
Egnyte is an official MCP server included in Anthropic's knowledge-work-plugins repository. It enables Claude to interact with Egnyte through the Model Context Protocol. Protocol: HTTP. Endpoint: https://mcp-server.egnyte.com/mcp. Used in plugins: legal.
Add the following to your .mcp.json file to connect Claude to Egnyte. No local installation required — this is a remote HTTP server.
README content is unavailable from source data for this server.
Open GitHub repository →Steps
Troubleshooting
✓ Do
✗ Don't
💡 Pro Tips
Architecture
Model Context Protocol standardizes how AI hosts (Claude, Cursor) communicate with external tools and data sources through server implementations.
Protocols
Compatibility
✓ Use when
Use when you need Claude to access external data, execute actions, or integrate with tools. Best for extending AI capabilities beyond conversation.
✗ Avoid when
Avoid when native integrations exist (use official APIs directly), for real-time critical systems, or when security/compliance requires zero external dependencies.