pulsemcp scanned Safe content atomic mcp-remote

Leonardo AI

This MCP server provides Leonardo AI integration for image generation workflows, built by Ish Joshi using Python with the leonardo-ai-sdk and FastMCP framework. It offers tools for creating image generation jobs with customizable parameters, browsing available AI models with descriptions and IDs, checking job status and completion, retrieving user generation history, and managing user authentication through the Leonardo API. The implementation supports both HTTP and stdio transport modes for flexibility with different client types, making it valuable for AI assistants that need to generate images, iterate on visual concepts, or integrate Leonardo AI's capabilities into creative workflows where users want to leverage specific models for different artistic styles and generation tasks.

Cognium trust score

94%

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: media
Source: PulseMCP
Repository: github.com/ish-joshi/leonardo-mcp-server
Author type: human
Last scanned: 2026-09-19
Updated: 2026-09-19

View source Find related skills

MCP

Resolve Leonardo AI 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"