Productivity

adoptionlayer.com

Adoption Layer is an MCP server that guides employees step by step through business software and internal tools via an AI-driven in-app adoption layer deployable as a browser extension or script tag.

WebMCP1 endpoint0 known toolsFirst detected September 17, 2026Last detected September 17, 2026

ENDPOINT 1

https://adoptionlayer.com

No auth detected

MCP server metadata

Name: WebMCP

Capabilities

imperative

Known tools 0

No tool metadata was available in the registry cache.

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://adoptionlayer.com"
enabled = true

Claude Code

.mcp.json

{
  "mcpServers": {
    "webmcp": {
      "type": "http",
      "url": "https://adoptionlayer.com"
    }
  }
}

Claude Desktop

Settings → Connectors → Add custom connector

Name: webmcp
Remote MCP URL: https://adoptionlayer.com

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://adoptionlayer.com"
    }
  }
}

Visual Studio Code

.vscode/mcp.json

Add to Visual Studio Code

{
  "servers": {
    "webmcp": {
      "type": "http",
      "url": "https://adoptionlayer.com"
    }
  }
}

Generic MCP

Client-specific MCP configuration

{
  "name": "webmcp",
  "transport": "streamable-http",
  "url": "https://adoptionlayer.com"
}

MCP Inspector

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

TRUST AND VERIFICATION EVIDENCE

Trust Data Available

BuiltWith Trust API v2 evidence for adoptionlayer.com was fetched 2026-09-22T14:38:08.923Z.

Trust status Neutral

adoptionlayer.com is assessed as Neutral: No suspicious signals found, but no strong positive signal either

Indexed

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