# Replicate-MCP-Server

> Use this tool when you need to leverage a wide range of AI models and tasks, including image, video, audio, and speech processing, as well as natural language and computer vision capabilities. It solves problems related to multimedia processing, analysis, and generation, providing a unified interface for 36 tools and 63 curated models. With async batch and pipeline orchestration, it accepts various input formats and outputs processed data, making it ideal for complex workflows and automated tasks.

Canonical page: https://skillsregistry.net/skills/sena-labs-replicate-mcp-server  
JSON: https://api.skillsregistry.net/v1/skills/sena-labs-replicate-mcp-server

## Description

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.

## Trust

- **Trust score (0–1):** 0.67
- **Verification tier:** scanned
- **Last scanned:** 2026-08-30

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** devops-ci
- **Updated:** 2026-08-30

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/a64laumgb1)
- **Repository:** <https://github.com/sena-labs/replicate-mcp-server>

## Use it

Resolve this record through the SkillsRegistry MCP server (no auth, read-only):

```
claude mcp add --transport http --scope user skillsregistry https://api.skillsregistry.net/mcp
```

```json
{
  "jsonrpc": "2.0",
  "id": 1,
  "method": "tools/call",
  "params": {
    "name": "get_skill",
    "arguments": {
      "slug": "sena-labs-replicate-mcp-server"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/sena-labs-replicate-mcp-server` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/sena-labs-replicate-mcp-server/pull`

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SkillsRegistry indexes agent skills from public registries and GitHub. Skills we have analysed are scanned with Circle-IR and scored on six dimensions; each listing states its scan coverage. More: https://skillsregistry.net/llms.txt