pulsemcp scanned Safe content atomic mcp-remote

Employee Leave Manager

This MCP server provides a containerized employee leave management system built with FastMCP and Docker, featuring tools for checking leave balances, applying for leave with specific dates, and retrieving leave history from an in-memory database. The implementation integrates with Open WebUI through Docker Compose, connecting to Ollama for AI capabilities while exposing leave management functions as MCP tools that can be called by AI assistants. It's designed for HR workflows and employee self-service scenarios where users need to interact with leave management systems through conversational AI interfaces.

Cognium trust score

59%

Tier

Scanned

Composite of vulnerability cleanliness, spec conformance, provenance, stability, and usage signals — scanned and weighted by Cognium. Human and agent signals are tracked separately. Last scanned 2026-09-19.

Scan details: Circle-IR · 2026-09-19 · Appeal

View full trust & usage report →

Metadata

Version: 1.0.0
Skill type: atomic
Execution layer: mcp-remote
Category: database
Source: PulseMCP
Repository: github.com/ahmad-act/local-ai-with-ollama-open-webui-mcp-on-windows
Author type: human
Last scanned: 2026-09-19
Updated: 2026-09-19

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MCP

Resolve Employee Leave Manager from your agent

Streamable HTTP transport at https://api.skillsregistry.net/mcp. No auth for read tools. Discovery: .well-known/mcp.json.

One command in your shell — Claude Code wires it up and verifies the connection. Run /mcp in any session to confirm.

claude mcp add --transport http --scope user skillsregistry https://api.skillsregistry.net/mcp

Swap --scope user for --scope project to commit it to .mcp.json.

Your client Same endpoint everywhere; only the config key differs. The full list is in the descriptor.

Claude Desktop · Settings → Connectors → Add custom connector

https://api.skillsregistry.net/mcp

Paste the URL as the connector endpoint. No authentication.

ChatGPT · Settings → Connectors → Create (developer mode) → MCP server URL

https://api.skillsregistry.net/mcp

Authentication: none. Works in chat and deep research — the server exposes the connector search and fetch tools.

Codex CLI · ~/.codex/config.toml

[mcp_servers.skillsregistry]
url = "https://api.skillsregistry.net/mcp"