AI & Machine Learning

murl.ai

MCP server for searching, inspecting, and running published AI generation pipelines/apps from Murl.ai.

1 endpoint4 known toolsFirst detected September 10, 2026Last detected September 10, 2026

ENDPOINT 1

https://murl.ai/mcp

No auth detected

Capabilities

tools.listChanged

Search murl.ai for published AI apps and pages (image/video/audio generation pipelines built by creators).

Inferred read-only

Fetch the agent card for one Murl publication: what it does, its input schema, output type, estimated credit cost, and how to run it.

Inferred read-only

Run a published Murl page (AI pipeline) with your connected Murl account.

Inferred read-only

Check a run started by run_app.

Inferred read-only

CONNECT WITH APPROVAL

Review this server and its permissions before adding it. Secret placeholders must be set locally.

Codex

~/.codex/config.toml

[mcp_servers.murl]
url = "https://murl.ai/mcp"
enabled = true

Claude Code

.mcp.json

{
  "mcpServers": {
    "murl": {
      "type": "http",
      "url": "https://murl.ai/mcp"
    }
  }
}

Claude Desktop

Settings → Connectors → Add custom connector

Name: murl
Remote MCP URL: https://murl.ai/mcp

Add this remote URL as a custom connector in Claude Desktop. Availability depends on the user plan and workspace policy.

Cursor

.cursor/mcp.json

{
  "mcpServers": {
    "murl": {
      "url": "https://murl.ai/mcp"
    }
  }
}

Visual Studio Code

.vscode/mcp.json

Add to Visual Studio Code

{
  "servers": {
    "murl": {
      "type": "http",
      "url": "https://murl.ai/mcp"
    }
  }
}

Generic MCP

Client-specific MCP configuration

{
  "name": "murl",
  "transport": "streamable-http",
  "url": "https://murl.ai/mcp"
}

MCP Inspector

Run the official MCP Inspector locally and enter the indexed Streamable HTTP endpoint.

TRUST AND VERIFICATION EVIDENCE

Checking the associated registrable domain. The BuiltWith key remains server-side.

Indexed

Evidence is source-attributed and does not guarantee that a third-party server is safe. Risk labels are conservative metadata heuristics.