Kognitrix AI MCP MCP server

Official MCP server for Kognitrix AI providing eight AI services including content generation, code debugging, image creation, document analysis, data extraction, translation, SEO, and email assistance. It allows AI agents to interact with Kognitrix's Intelligence-as-a-Service platform via standard tools like kognitrix_generate_content and kognitrix_check_credits.

Endpoint and access

API key: create a key with the vendor first; your client sends it as an authorization header on every request.

API keyEndpoint checked 2026-10-05Operated by Kognitrix AI

MCP endpoint (Streamable HTTP)

https://kognitrix.com/api/mcp

Vendor documentation

What you can do with it

Generate blog posts and professional content
Debug and generate code snippets
Extract structured data from documents
Translate text between languages

Connect from your client

Each snippet registers the same endpoint; pick the client you use.

This server is operated by the named third party. Listing and endpoint checks are not an endorsement or a security audit. Review the operator's permissions, terms, and data handling before connecting. How listings are checked and corrected.

Claude Code

Run this once in a terminal. It registers a Streamable HTTP server. Use --scope project to write .mcp.json for the repo.

Claude Code configuration

claude mcp add --transport http kognitrix-ai-mcp https://kognitrix.com/api/mcp

Codex

Run this once. Codex stores MCP servers in ~/.codex/config.toml (or .codex/config.toml in a trusted project).

Codex configuration

codex mcp add kognitrix-ai-mcp --url https://kognitrix.com/api/mcp

Cursor

Merge this server into .cursor/mcp.json in your project, then enable kognitrix-ai-mcp in your MCP settings.

Cursor configuration

{
  "mcpServers": {
    "kognitrix-ai-mcp": {
      "url": "https://kognitrix.com/api/mcp"
    }
  }
}

Cline

Merge this into cline_mcp_settings.json (Cline → MCP Servers → Configure). The type must be streamableHttp for a remote HTTP server.

Cline configuration

{
  "mcpServers": {
    "kognitrix-ai-mcp": {
      "type": "streamableHttp",
      "url": "https://kognitrix.com/api/mcp",
      "disabled": false
    }
  }
}

VS Code

Merge this server into .vscode/mcp.json. Use MCP: List Servers to start kognitrix-ai-mcp and inspect its tools.

VS Code configuration

{
  "servers": {
    "kognitrix-ai-mcp": {
      "type": "http",
      "url": "https://kognitrix.com/api/mcp"
    }
  }
}

Gemini CLI

Run this once. It writes .gemini/settings.json in the current project; pass --scope user for ~/.gemini/settings.json.

Gemini CLI configuration

gemini mcp add --transport http kognitrix-ai-mcp https://kognitrix.com/api/mcp

Claude Desktop

Merge this into claude_desktop_config.json (macOS: ~/Library/Application Support/Claude/, Windows: %APPDATA%\Claude\), then restart Claude Desktop.

Claude Desktop configuration

{
  "mcpServers": {
    "kognitrix-ai-mcp": {
      "url": "https://kognitrix.com/api/mcp"
    }
  }
}

Windsurf

Merge this into ~/.codeium/windsurf/mcp_config.json, then refresh MCP in Cascade. Windsurf remote servers use serverUrl, not url.

Windsurf configuration

{
  "mcpServers": {
    "kognitrix-ai-mcp": {
      "serverUrl": "https://kognitrix.com/api/mcp"
    }
  }
}

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