AssetFeed AI Detection MCP

This official MCP server allows AI agents to estimate the likelihood that English text or web pages are AI-generated. It provides read-only access to AssetFeed's AI detection capabilities, enabling users to analyze drafts for AI-written passages and receive percentage scores based on proprietary and open-source classifiers.

Visit AssetFeed

Endpoint and access

OAuth sign-in: the first time you connect, your client opens the vendor's own authorization prompt in a browser.

Vendor evidenceStreamable HTTPOAuth sign-inEndpoint checked 2026-11-01Operated by AssetFeed

You need:Works on Business, Enterprise and Edu plansSign in with your AssetFeed accountPro connects with read-only access

MCP endpoint (Streamable HTTP)

https://api.assetfeed.com/mcp/ai-detection

Vendor documentation

What you can do with it

Check if a draft text is written by AI
Analyze web page content for AI patterns
Identify specific passages that read as AI-written

Source and maintenance

Vendor evidenceRegistry 1.0.0

mcp-registry: com.assetfeed/ai-detection@1.0.0 Source repository Project website

Maintenance checked: Nov 1, 2026, 6:37 AM UTC

Tools

Reported by the attributed source; not independently observed by Koskamo.

No tool definitions available.

30-day availability

Aggregated from read-only remote checks; this is not a tool-execution or security guarantee.

Successful checks: 1 of 1 (100%)
Average latency: 584 ms
95th percentile latency: 584 ms

Maintenance history

Public check and source-refresh events. Editorial and ownership records remain private.

Nov 1, 2026, 6:53 AM UTC · probe · passed · 584 ms · metadata changed · refuses unauthenticated initialize (HTTP 401)

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 the remote server. Use --scope project to write .mcp.json for the repo.

Claude Code configuration

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

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 assetfeed-ai-detection-mcp --url https://api.assetfeed.com/mcp/ai-detection

Cursor

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

Cursor configuration

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

Cline

Merge this into cline_mcp_settings.json (Cline → MCP Servers → Configure).

Cline configuration

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

VS Code

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

VS Code configuration

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

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 assetfeed-ai-detection-mcp https://api.assetfeed.com/mcp/ai-detection

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": {
    "assetfeed-ai-detection-mcp": {
      "url": "https://api.assetfeed.com/mcp/ai-detection"
    }
  }
}

Windsurf

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

Windsurf configuration

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

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