by gerred
Connect to Replicate for advanced machine learning inference using the perplexity ai api. Access diverse models and retr
Connects to Replicate's API to search AI models, compare their performance, and run them directly through chat commands.
Replicate is a community-built MCP server published by gerred that provides AI assistants with tools and capabilities via the Model Context Protocol. Connect to Replicate for advanced machine learning inference using the perplexity ai api. Access diverse models and retr It is categorized under ai ml.
You can install Replicate in your AI client of choice. Use the install panel on this page to get one-click setup for Cursor, Claude Desktop, VS Code, and other MCP-compatible clients. This server runs locally on your machine via the stdio transport.
MIT
Replicate is released under the MIT license. This is a permissive open-source license, meaning you can freely use, modify, and distribute the software.
Add new capabilities to Claude beyond text generation
Example
Access external data sources, execute code, interact with tools and services
Transform Claude from chatbot to action-taking agent
Provide Claude with access to relevant context and data
Example
Load project documentation, access knowledge bases, query databases
Get more accurate, context-aware responses
Automate multi-step workflows combining AI and external tools
Example
Research → Summarize → Create document → Send notification
Complete complex tasks end-to-end without manual steps
Share your MCP server with the developer community
Replicate is a well-scoped MCP server in the explainx.ai directory — install snippets and categories matched our Claude Code setup.
We wired Replicate into a staging workspace; the listing’s GitHub and npm pointers saved time versus hunting across READMEs.
We evaluated Replicate against two servers with overlapping tools; this profile had the clearer scope statement.
Replicate reduced integration guesswork — categories and install configs on the listing matched the upstream repo.
I recommend Replicate for teams standardizing on MCP; the explainx.ai page compares cleanly with sibling servers.
I recommend Replicate for teams standardizing on MCP; the explainx.ai page compares cleanly with sibling servers.
Replicate reduced integration guesswork — categories and install configs on the listing matched the upstream repo.
Replicate is among the better-indexed MCP projects we tried; the explainx.ai summary tracks the official description.
Replicate is a well-scoped MCP server in the explainx.ai directory — install snippets and categories matched our Claude Code setup.
Replicate is among the better-indexed MCP projects we tried; the explainx.ai summary tracks the official description.
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A FastMCP server implementation for the Replicate API, providing resource-based access to AI model inference with a focus on image generation.
<a href="https://glama.ai/mcp/servers/r830bzsk7r"><img width="380" height="200" src="https://glama.ai/mcp/servers/r830bzsk7r/badge" alt="Server Replicate MCP server" /></a>
The server provides several specialized prompts for different tasks:
Our most thoroughly tested and robust prompt. Optimized for generating high-quality images from text descriptions with:
Example:
Create a photorealistic mountain landscape at sunset with snow-capped peaks, quality level: quality, style: photorealistic
To install MCP Server Replicate for Claude Desktop automatically via Smithery:
npx -y @smithery/cli install @gerred/mcp-server-replicate --client claude
You can install the package directly from PyPI:
# Using UV (recommended)
uv pip install mcp-server-replicate
# Using UVX for isolated environments
uvx install mcp-server-replicate
# Using pip
pip install mcp-server-replicate
# macOS
code ~/Library/Application\ Support/Claude/claude_desktop_config.json
# Windows
code %APPDATA%\Claude\claude_desktop_config.json
{
"globalShortcut": "Shift+Alt+A",
"mcpServers": {
"replicate": {
"command": "uv",
"args": ["tool", "run", "mcp-server-replicate"],
"env": {
"REPLICATE_API_TOKEN": "APITOKEN"
},
"cwd": "$PATH_TO_REPO"
}
}
}
# Option 1: Set in your environment
export REPLICATE_API_TOKEN=your_api_key_here
# Option 2: Create a .env file in your home directory
echo "REPLICATE_API_TOKEN=your_api_key_here" > ~/.env
You should now see the 🔨 icon in Claude Desktop, indicating that the MCP server is available.
Once connected to Claude Desktop, you can:
Generate images with natural language:
Create a photorealistic mountain landscape at sunset with snow-capped peaks
Browse your generations:
Show me my recent image generations
Search through generations:
Find my landscape generations
Check generation status:
What's the status of my last generation?
tail -n 20 -f ~/Library/Logs/Claude/mcp*.log
claude_desktop_config.json is absoluteFor more detailed troubleshooting, see our Debugging Guide.
git clone https://github.com/gerred/mcp-server-replicate.git
cd mcp-server-replicate
uv pip install --system ".[dev]"
pre-commit install
pytest
We welcome contributions! Please see our Contributing Guide for details.
This project is licensed under the MIT License - see the LICENSE file for details.
Prerequisites
Time Estimate
15-60 minutes depending on server complexity
Steps
Troubleshooting
✓ Do
✗ Don't
💡 Pro Tips
Architecture
Model Context Protocol standardizes how AI hosts (Claude, Cursor) communicate with external tools and data sources through server implementations.
Protocols
Compatibility
✓ Use when
Use when you need Claude to access external data, execute actions, or integrate with tools. Best for extending AI capabilities beyond conversation.
✗ Avoid when
Avoid when native integrations exist (use official APIs directly), for real-time critical systems, or when security/compliance requires zero external dependencies.