Placid.app MCP Server

The Placid.app MCP Server bridges the gap between AI assistants and visual content creation by exposing Placid’s powerful template‑based design engine through the Model Context Protocol. Developers can now ask Claude or other LLMs to list available design templates, filter them by collection or tags, and generate fully rendered graphics—all without leaving the assistant’s conversational flow. This integration solves a common pain point for content teams: the need to juggle separate design tools and API calls while maintaining a single, cohesive workflow.

At its core, the server offers two primary tools. The first tool retrieves a catalog of Placid templates, complete with metadata such as titles, preview URLs, layer definitions, and tags. By allowing optional filters—collection ID, custom reference data, or tag arrays—the tool gives developers fine‑grained control over which templates surface in a conversation. The second tool takes a chosen template and injects dynamic content into its layers, producing a ready‑to‑use image. Parameters for text and image layers are expressed in natural JSON objects, enabling the assistant to translate plain language requests into precise design instructions. The response includes a status flag, a direct image URL, and credit usage, allowing clients to track consumption and automate billing or quota enforcement.

For developers building AI‑driven marketing, social media, or e‑commerce solutions, this server unlocks several real‑world scenarios. A marketing assistant can ask Claude to “create a Facebook ad for our new product line” and receive an image generated from a pre‑approved template, instantly tailored with campaign copy and product photos. An e‑commerce platform can automate thumbnail creation for new listings by feeding item titles and images into a templated layout. Even non‑technical teams can prototype visual concepts by simply describing the desired look, letting the assistant handle the API intricacies behind the scenes.

Integration is straightforward: once the Placid API token is configured, any MCP‑compatible client automatically discovers the server’s tools. The server’s type‑safe implementation ensures that inputs and outputs adhere to Placid’s schema, reducing runtime errors. Its built‑in error handling provides clear feedback if a template ID is invalid or if layer content fails validation, allowing developers to surface helpful messages back to end users.

What sets this MCP server apart is its blend of simplicity and power. By abstracting the complexity of Placid’s REST API into declarative, protocol‑friendly tools, it lets AI assistants become true design collaborators. Developers benefit from a single point of integration that scales with Placid’s own growth, while users enjoy instant, high‑quality creative assets generated through conversational AI.