pulsemcp scanned Safe content atomic mcp-remote

YNU

MCP-YNU is a server implementation that provides a modular framework for exposing tools, resources, and prompts to AI assistants. Built with FastMCP, it features dynamic module loading from configured directories, environment-based configuration, and support for both stdio and SSE transport protocols. The implementation includes example tools for BMI calculation and weather fetching, resources for configuration and user profile data, and structured prompts for code review and error debugging. With its clean architecture and extensibility, MCP-YNU serves as an ideal foundation for developers looking to create custom MCP servers that bridge AI assistants with various backend services.

Cognium trust score

64%

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 2026-09-01.

Scan details: Circle-IR · 2026-09-01 · Appeal

View full trust & usage report →

Metadata

Version: 1.0.0
Skill type: atomic
Execution layer: mcp-remote
Category: ai-ml
Source: PulseMCP
Repository: github.com/ynu/mcp-ynu
Author type: human
Last scanned: 2026-09-01
Updated: 2026-09-01

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MCP

Resolve YNU 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"