"replicate" matching MCP servers:

An MCP server that enables AI assistants to search, discover, and run any model on Replicate.

Enables AI agents to run open models such as Flux, Llama, and Whisper and to manage the resulting predictions, deployments, and model metadata. Supports starting, polling, streaming, and cancelling runs, with webhook notifications for completion.

Universal MCP server for the full Replicate catalog: image, video, audio, music, speech (TTS+STT), LLMs, vision, upscaling, segmentation, embeddings, voice cloning, 3D, and lipsync. 36 tools and 63 curated models, with async batch + DAG pipeline orchestration and auto-download of outputs.

Enables LLM clients to generate, edit, and evaluate images through the Replicate API.

A simple MCP server for generating images using Flux models via the Replicate API.

Enables AI image generation and editing using Replicate's official models like Flux, SDXL, and Seedream, with tools to search models and generate images.

Provides a standardized interface for interacting with Replicate's tools and services through a unified API, enabling AI model usage via MCP.

MCP server that exposes a generate_image tool to generate images via Replicate models such as FLUX Schnell, accepting a prompt and aspect ratio and returning an image URL.

Unified AI compute API gateway for agents. Access 30+ services and 95+ models across 8 backends (Groq, Together AI, DeepInfra, Fireworks, Replicate, RunPod) with native x402 USDC payments, Stripe, and crypto top-up.

MCP server for AI image generation supporting multiple providers (OpenRouter, Together AI, Replicate, fal.ai) and compatible with various MCP agents.

One-step AI image generation for Claude Code, allowing users to generate images from natural language prompts with support for multiple backends like Replicate and OpenAI.

Replicate viral TikTok slideshows in your niche by talking to your agent. It generates images locally or via API and assembles the final result.

Provides a unified MCP interface for running completions, embeddings, image generation, and classification across OpenAI, Anthropic, Groq, and Mistral. Eliminates provider-specific boilerplate by standardizing API calls for text generation, vector embeddings, and classification tasks.