pulsemcp scanned Safe content atomic mcp-remote

Together AI Image Generation

This MCP server, developed by an unknown author, provides image generation capabilities for AI assistants using the Flux.1 Schnell model via Together AI. Built with Python and leveraging the httpx and mcp libraries, it offers a streamlined interface for creating images from text prompts. The server implements standard MCP endpoints for image generation, abstracting the complexities of API communication with Together AI. By providing a simple, standardized way to generate images, it enables AI systems to easily incorporate visual content creation into their workflows. This implementation is particularly useful for creative applications, content generation, and visual design tasks, allowing for rapid prototyping and visualization of ideas through AI-generated imagery.

Cognium trust score

65%

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 2026-09-02.

Scan details: Circle-IR · 2026-09-02 · 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/sarthakkimtani/mcp-image-gen
Author type: human
Last scanned: 2026-09-02
Updated: 2026-09-02

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MCP

Resolve Together AI Image Generation 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"