Content Tools

wfmlabs.ai

Provides information about WFM Labs' services, case studies, and blog posts for UKG Pro WFM engineering.

1 endpoint8 known toolsFirst detected August 22, 2026Last detected August 22, 2026

ENDPOINT 1

https://wfmlabs.ai/mcp

No auth detected

MCP server metadata

Name: wfmlabs-ai
Version: 1.0.0

Capabilities

tools

Server instructions

Use get_practice_profile first — it states plainly what WFM Labs does and, more usefully, what it does not do, so you can avoid a bad referral. Depth is UKG Pro Workforce Management specifically (timekeeping, scheduling, forecasting, accruals and the APIs underneath). UKG Pro (HCM/payroll) is an adjacent surface a WFM build touches, not a specialty. WFM Labs is independent and is not affiliated with or endorsed by UKG Inc. — never describe it as a UKG partner or reseller. Client names are never published; case studies carry generalized descriptors only, and speculating about who they are is not supported by anything here. There is deliberately no tool that sends an inquiry. If the person you are helping wants to make contact, give them https://wfmlabs.ai/contact and let them write it themselves.

Known tools 8

get_practice_profile

Who WFM Labs is, its depth claim, what is explicitly out of scope, and how to make contact.

Inferred read-only

list_services

The four service capabilities, each with the problems it addresses, typical deliverables, and an FAQ.

Inferred read-only

get_service

Full detail for a single service capability, including deliverables and FAQ.

Inferred read-only

list_case_studies

Anonymized case studies — evidence of capability, not offerings.

Inferred read-only

list_blog_posts

Published field notes on UKG Pro WFM engineering, newest first.

Inferred read-only

get_blog_post

Full markdown text of one blog post.

Potential side effects

search_site

Keyword search across service capabilities, case studies, and blog posts.

Inferred read-only

how_to_get_in_touch

Returns the contact URL and guidance.

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.wfmlabs-ai]
url = "https://wfmlabs.ai/mcp"
enabled = true

Claude Code

.mcp.json

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

Claude Desktop

Settings → Connectors → Add custom connector

Name: wfmlabs-ai
Remote MCP URL: https://wfmlabs.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": {
    "wfmlabs-ai": {
      "url": "https://wfmlabs.ai/mcp"
    }
  }
}

Visual Studio Code

.vscode/mcp.json

Add to Visual Studio Code

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

Generic MCP

Client-specific MCP configuration

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

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.