Replicate MCP server

Replicate MCP Server

A universal, cross-platform MCP server that gives any MCP client — Claude Desktop, the claude.ai web app (Connectors), Cursor, Cline / Continue in VS Code, or your own application — native access to the full Replicate catalog: image generation, video, music, speech, upscaling, segmentation, LLMs, voice cloning, 3D, lipsync — anything Replicate hosts.

It speaks both transports: stdio (the standard for local desktop/editor integrations) and HTTP/SSE (for remote/web clients and your own services).

Once connected to your MCP client, you can simply ask:

"Generate a cinematic shot of a lighthouse in a storm, 21:9"

"Write a 30-second synthwave track"

"Make a 5-second video of a paper airplane flying through a city"

"Read this paragraph in a British male voice"

"Upscale this image 4x"

…and the assistant calls the right Replicate model, waits for the result, and (on local/stdio setups) downloads the output to your machine.

Install

Fastest — one-click via Smithery (): open the server page and copy the Install snippet for your client (Claude, Cursor, VS Code, Cline, Windsurf, …). It wires the server in and prompts for your Replicate token. (Routes through Smithery's hosted gateway — easiest, zero local setup.)

Token-private — npm + stdio (your Replicate token never leaves your machine):

npx -y replicate-mcp-server

…or drop it into any MCP client's config (full walkthrough under Installation).

Claude Desktop one-file install: download the latest .mcpb from Releases and drag it onto Claude Desktop.

Already running (bring your own token): https://replicate-mcp.sena-labs.dev/mcp — HTTP/SSE, multi-tenant; pass your token in the x-replicate-api-token header.

Once connected, try the example prompts below.

Try it

Once your client is connected, ask in plain language — the assistant picks the right tool, waits for the result, and downloads the output locally:

"Generate a cinematic shot of a lighthouse in a storm, 21:9"

"Which is the cheapest model for a 5-second video? Then use it." — recommend → generate

"Make 4 logo variations of a fox, flat vector style" — batch (concurrent)

"Transcribe this audio, summarise it, then read the summary aloud" — DAG pipeline

"Upscale this image 4×" · "Write a 30-second synthwave track" · "Read this in a British male voice"

"Kick off a Flux LoRA fine-tune on my dataset and tell me when it's done" — training

Discovery tools (replicaterecommendmodel, replicatesearchmodels, replicateestimatecost) and the 5 built-in workflow prompts help it chain multi-step jobs without you naming models.

What's inside

36 tools and 66 curated models, designed to be both ergonomic for common cases and fully open-ended for everything else. Every generate/run tool waits for completion and auto-downloads the outputs to your machine — you ask once and get back local files, not a job id to babysit:

Curated generation tools

Shortened. The full README is on GitHub.