drio
Open app

MCP Cortex

Source

MCP server implementation for advanced document and knowledge graph processing

Catalog onlyCatalog onlySTDIO

Overview

MCP Cortex is an advanced server implementation designed for processing documents and knowledge graphs. It provides tools and functionalities focused on extracting and managing large sets of information.

To use MCP Cortex, developers can integrate the server into their applications by following the documentation provided in the GitHub repository. Users can upload documents and set up knowledge graphs to begin processing.

  • Advanced document processing capabilities - Knowledge graph creation and management - Support for various data formats and structures
  1. Automating document classification and extraction of relevant data.
  2. Building and managing complex knowledge graphs for data analysis.
  3. Enhancing applications with intelligent document processing functionalities.

Add to your AI client

Use these steps to connect MCP Cortex in Cursor, Claude, VS Code, and other MCP-compatible apps. The same JSON appears in the Use with menu above for one-click copy.

Cursor

Add this to your .cursor/mcp.json file in your project root, then restart Cursor.

.cursor/mcp.json

{
  "mcpServers": {
    "mcp-cortex-kangaekata": {
      "command": "npx",
      "args": [
        "-y",
        "@modelcontextprotocol/server-mcp-cortex-kangaekata"
      ]
    }
  }
}

Claude Desktop

Add this server entry to the mcpServers object in your Claude Desktop config, then restart the app.

~/Library/Application Support/Claude/claude_desktop_config.json (macOS) or %APPDATA%\Claude\claude_desktop_config.json (Windows)

{
  "mcpServers": {
    "mcp-cortex-kangaekata": {
      "command": "npx",
      "args": [
        "-y",
        "@modelcontextprotocol/server-mcp-cortex-kangaekata"
      ]
    }
  }
}

Claude Code

Add this to your project's .mcp.json file. Claude Code will detect it automatically.

.mcp.json (project root)

{
  "mcpServers": {
    "mcp-cortex-kangaekata": {
      "command": "npx",
      "args": [
        "-y",
        "@modelcontextprotocol/server-mcp-cortex-kangaekata"
      ]
    }
  }
}

VS Code (Copilot)

Add this to your .vscode/mcp.json file. Requires the GitHub Copilot extension with MCP support enabled.

.vscode/mcp.json

{
  "servers": {
    "mcp-cortex-kangaekata": {
      "type": "stdio",
      "command": "npx",
      "args": [
        "-y",
        "@modelcontextprotocol/server-mcp-cortex-kangaekata"
      ]
    }
  }
}

Windsurf

Add this to your Windsurf MCP config file, then restart Windsurf.

~/.codeium/windsurf/mcp_config.json

{
  "mcpServers": {
    "mcp-cortex-kangaekata": {
      "command": "npx",
      "args": [
        "-y",
        "@modelcontextprotocol/server-mcp-cortex-kangaekata"
      ]
    }
  }
}

Cline

Open Cline settings, navigate to MCP Servers, and add this server configuration.

Cline MCP Settings (via UI)

{
  "mcpServers": {
    "mcp-cortex-kangaekata": {
      "command": "npx",
      "args": [
        "-y",
        "@modelcontextprotocol/server-mcp-cortex-kangaekata"
      ]
    }
  }
}

FAQ

What types of documents can MCP Cortex process?

MCP Cortex can handle various document formats, including PDFs, Word documents, and plain text files.

Is MCP Cortex suitable for large datasets?

Yes! MCP Cortex is optimized for performance and can efficiently process large volumes of data.

Where can I find the documentation?

The documentation is available on the [GitHub repository](https://github.com/kangaekata/mcp-cortex).7:["$","div",null,{"className":"container mx-auto flex flex-col gap-4","children":["$L26","$L27",["$","$L28",null,{"currentProject":{"id":401,"uuid":"11421816-56ae-4bc6-8af5-16cbed9ac7a8","name":"mcp-cortex","title":"MCP Cortex","description":"MCP server implementation for advanced document and knowledge graph processing","avatar_url":"https://avatars.githubusercontent.com/u/179301750?v=4","created_at":"2024-12-15T06:46:14.057Z","updated_at":"2024-12-16T06:52:35.182Z","status":"created","author_name":"kangaekata","author_avatar_url":"https://avatars.githubusercontent.com/u/179301750?v=4","tags":"[]","category":"research-and-data","is_featured":false,"sort":1,"url":"https://github.com/kangaekata/mcp-cortex","target":"_self","content":"# MCP Cortex\n\nMCP server implementation for advanced document and knowledge graph processing","summary":"$29","img_url":null,"type":null,"metadata":null,"user_uuid":null,"tools":null,"sse_url":null,"sse_provider":null,"sse_params":null,"is_official":false,"server_command":null,"server_params":null,"server_config":null,"allow_call":false,"is_innovation":false,"is_dxt":false,"dxt_manifest":null,"dxt_file_url":null,"is_audit":false},"randomProjects":[],"currentServerKey":"$undefined"}]]}]

Research and data