CleanVector MCP MCP server

The CleanVector MCP server enables AI agents to generate professional SVG artwork, icons, and vector logos from text prompts, convert raster images (PNG, JPG, WebP) into clean editable SVGs, and manage asynchronous generation jobs. It provides tools for creating illustrations, logos with brand variants, and vectorizing existing images, integrating directly with CleanVector's Plus and Pro plans via API key authentication.

Endpoint and access

No sign-in: your client connects and lists tools immediately, with no account or key.

No sign-inEndpoint checked 2026-10-05Operated by CleanVector

MCP endpoint (Streamable HTTP)

https://cleanvector.ai/api/mcp

Vendor documentation

What you can do with it

Generate professional SVG illustrations or icons from a text prompt
Convert raster images like PNG or JPG into clean, editable SVG files
Create vector logos with original, black and white variants and color palettes
Manage asynchronous generation tasks and download final assets

Tools advertised by the last live check:

generate_illustration
generate_logo
vectorize_image
get_task
wait_for_task
list_tasks
list_mascots
download_png
download_svg
download_logo_kit
get_account

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 cleanvector-mcp https://cleanvector.ai/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 cleanvector-mcp --url https://cleanvector.ai/api/mcp

Cursor

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

Cursor configuration

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

VS Code

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

VS Code configuration

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

See all 161

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