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AI & Machine Learning

waiser.dev

Scans a company's public website and returns a JSON report with an agent-fit score and concrete AI-agent use cases that would save the team the most time.

WebMCP1 endpoint1 known toolsFirst detected October 13, 2026Last detected October 13, 2026

ENDPOINT 1

https://waiser.dev

No auth detected

MCP server metadata

Name
WebMCP
Capabilities
declarative

Known tools 1

scan_website_for_agent_opportunities

Free agent-opportunity scan by Nils Weiser (waiser.dev): reads a company's public website and returns a JSON report with an agent-fit score and the concrete AI-agent use cases that would save that team the most time. Read-only, no signup.

Inferred read-only

CONNECT WITH APPROVAL

Client installation

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

Codex

~/.codex/config.toml

[mcp_servers.webmcp]
url = "https://waiser.dev"
enabled = true
Claude Code

.mcp.json

{
  "mcpServers": {
    "webmcp": {
      "type": "http",
      "url": "https://waiser.dev"
    }
  }
}
Claude Desktop

Settings → Connectors → Add custom connector

Name: webmcp
Remote MCP URL: https://waiser.dev

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": {
    "webmcp": {
      "url": "https://waiser.dev"
    }
  }
}
Visual Studio Code

.vscode/mcp.json

Add to Visual Studio Code
{
  "servers": {
    "webmcp": {
      "type": "http",
      "url": "https://waiser.dev"
    }
  }
}
Generic MCP

Client-specific MCP configuration

{
  "name": "webmcp",
  "transport": "streamable-http",
  "url": "https://waiser.dev"
}
MCP Inspector

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

TRUST AND VERIFICATION EVIDENCE

Loading Trust v2 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.