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Kiteworks MCP Server

Securely connect AI assistants to your Kiteworks instance for file, folder, and search operations

Category
Security
Primary Subcategory
Pending
View in the Claude registry
Integration details

Description

The Kiteworks MCP Server enables Large Language Model (LLM) applications to securely interact with your Kiteworks instance through the Model Context Protocol (MCP). It provides AI assistants with the ability to manage files, folders, and user information within your Kiteworks environment while maintaining enterprise-grade security. [Documentation](https://developer.kiteworks.com/mcp-landing-page.htm) **Key Features:** - File Management: Upload, download, read contents, create from content, rename, move, and delete files - Folder Operations: Navigate hierarchies, create, rename, move, and delete folders - Search: Find files and folders by name, path, content, date range - User Information: Access current user details and authentication status - OAuth 2.1 Security: Authorization Code flow with PKCE

Integration type
Connector
Verification status
Verified connector
Platform
Claude
Category
Security

The broad Category that contains the Primary Subcategory.

Primary Subcategory
Pending

The Primary Subcategory used for this profile’s headline score.

Secondary Subcategories
None listed

Other Subcategories where the Integration is listed.

Brand
Kiteworks
Access
Unknown
First tracked
2026-07-07
Tool count
0
Geography
US

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Claude Discoverability Score

Kiteworks MCP Server isn’t discoverable through Claude’s Connector picker

It runs as a local Claude Desktop Extension, so Claude cannot surface or score it there today.

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What the current score measures

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Remote Connectors Claude can surface from the Connector picker.

How this score is measured
Primary Subcategory

Competitive lineup

No Primary Subcategory assigned yetOnce Kiteworks MCP Server has a Primary Subcategory, the Plugins and Connectors it competes with will appear here with their scores.
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Tools

0 tools agents can invoke

No tools are exposed by this Claude Connector in the latest snapshot.

Kiteworks MCP Server FAQ
How do I improve a Verified connector's discoverability?

The levers are the listing surface agents actually read: names, descriptions, keywords, tool metadata, and registry health. Which lever matters depends on where discovery breaks, which is what continuous measurement shows.

Where is this profile measured?

This profile uses the geography attached to the latest public registry snapshot: US. Locale tags are intentionally omitted.