pulsemcp scanned Safe content atomic mcp-remote

Easy Model Deployer

EMD-MCP server provides a bridge between Claude and the Easy Model Deployer (EMD) tool, enabling AI assistants to deploy, manage, and interact with machine learning models on AWS services. Built with TypeScript and the Model Context Protocol SDK, it offers tools for listing supported models, deploying models with customizable parameters, checking deployment status, invoking deployed models, and destroying deployments. The server automatically installs EMD if needed and handles command execution through child processes, making it valuable for users who want to streamline ML model deployment workflows directly through conversational AI interfaces.

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: cloud-infra
Source: PulseMCP
Repository: github.com/yanbasic/emd-mcp
Author type: human
Last scanned: 2026-09-01
Updated: 2026-09-01

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MCP

Resolve Easy Model Deployer 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"