# Replicate MCP Server

> Use this tool when you need to access and manage AI models and predictions remotely, solving problems such as model deployment and scalability. It provides an interface for creating, canceling, and retrieving model predictions and parameters via the Model Context Protocol. Ideal for use cases requiring centralized model management and integration with AI workflows.

Canonical page: https://skillsregistry.net/skills/deepfates-mcp-replicate  
JSON: https://api.skillsregistry.net/v1/skills/deepfates-mcp-replicate

## Description

Enables users to access and manage Replicate's AI models and predictions via the Model Context Protocol, offering tools for creating, canceling, and retrieving model predictions and parameters.

## Trust

- **Trust score (0–1):** 0.94
- **Verification tier:** verified
- **Last scanned:** 2026-09-19

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** other
- **Updated:** 2026-09-19

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/q60hq1hwtr)
- **Repository:** <https://github.com/deepfates/mcp-replicate>

## 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": "deepfates-mcp-replicate"
    }
  }
}
```

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