Medusa MCP Server: Setup, Features & Best Alternatives (2026)

Does Medusa Have an MCP Server?

As of February 2026, Medusa does not offer an official, first-party MCP server. This is the current landscape:

• Official MCP server: Not available from Medusa directly
• Community wrappers: Check GitHub for community-maintained projects that wrap the Medusa API for MCP compatibility
• API availability: Medusa offers a REST API that could be wrapped in a custom MCP server
• Expected timeline: No public announcements from Medusa about MCP support

The absence of an official server doesn’t mean you can’t use Medusa data with AI assistants. Several approaches exist, ranging from community wrappers to building your own MCP server around the Medusa API.

Why Connect Medusa to an MCP Server?

Medusa falls into the CMS & Headless Content category of tools, providing content management, page building, and editorial workflow capabilities. Content teams and developers often work in completely different tools. An MCP server for CMS platforms bridges that gap, letting developers query content, manage schemas, and update pages from their development environment while maintaining the editorial workflow.

Practical Use Cases

• Query and update CMS content from your development environment
• Generate and publish content programmatically with AI assistance
• Manage content schemas and models through natural language
• Build content migration scripts by describing the transformation
• Preview content changes without switching to the CMS dashboard

Without an MCP server, each of these use cases requires manual context switching: open Medusa in a browser, find the data you need, copy it, paste it into your AI assistant, and wait for analysis. An MCP server automates that entire data-fetching step.

How to Set Up Medusa MCP (Community Approach)

Since Medusa doesn’t have an official MCP server, here’s how to set up a community wrapper or build your own.

npm install -g @community/medusa-mcp-server

git clone https://github.com/modelcontextprotocol/server-template
cd server-template
npm install

{
  "mcpServers": {
    "medusa": {
      "command": "npx",
      "args": [
        "@community/medusa-mcp-server"
      ],
      "env": {
        "MEDUSA_API_KEY": "your-api-key-here"
      }
    }
  }
}

{
  "mcpServers": {
    "medusa": {
      "command": "npx",
      "args": ["@community/medusa-mcp-server"],
      "env": {
        "MEDUSA_API_KEY": "your-api-key-here"
      }
    }
  }
}

"Can you check if the Medusa MCP server is connected? Try listing available tools."

Medusa MCP Server: What You Can and Cannot Do

What Works with a Community Wrapper

Community-built MCP servers for Medusa typically support read operations – pulling data from the Medusa API and making it available to your AI assistant. This covers most analytical and reporting use cases.

Known Limitations

• Rate limits: Community wrappers inherit the rate limits of your Medusa API plan. Aggressive querying through an AI assistant can burn through API quota quickly.
• Data freshness: MCP servers query on demand, so data is as fresh as the API allows. There is no built-in caching in most community wrappers.
• Maintenance risk: Community projects may lag behind Medusa API changes. Check the repository’s last commit date before relying on it.
• Security: Storing API keys in MCP config files means they sit on disk in plain text. Use environment variables or a secrets manager for production setups.

Medusa MCP Pricing Considerations

The cost of using Medusa through MCP depends on several factors:

Important: Some Medusa plans restrict API access to higher tiers. Verify that your current plan includes the API endpoints the MCP wrapper needs before investing time in setup.

Best MCP Alternatives to Medusa

If Medusa doesn’t have a viable MCP server, or if the setup cost isn’t worth it for your use case, these alternatives provide similar capabilities through production-ready MCP servers.

Delulu9 – Best for Keyword Research MCP

If your primary need is keyword research, Delulu9 is purpose-built for MCP from day one. It isn’t a wrapper around another API – it is a native MCP server with its own data infrastructure.

Why Delulu9 Is Different

Most MCP keyword research servers are thin wrappers around third-party APIs. Delulu9 is a vertically integrated tool: it collects data from Google, Bing, and Reddit, processes it through its own intent classification and difficulty scoring pipeline, and serves it through a hosted MCP server.

This matters because:

1. No API key chain: You don’t need a separate subscription to another service. One API key, one bill.
2. Reddit data is exclusive: No other keyword research MCP server combines Google, Bing, and Reddit autocomplete data in a single query.
3. Intent is automatic: Every keyword result includes intent classification (informational, commercial, transactional, navigational) without manual tagging.
4. It actually works: The server is hosted, monitored, and maintained. You don’t debug connection issues at 2 AM.

Quick Setup: Delulu9 MCP

{
  "mcpServers": {
    "delulu9": {
      "command": "npx",
      "args": ["-y", "@delulu9/seo-mcp-server@latest"],
      "env": {
        "DELULU9_API_KEY": "your-api-key"
      }
    }
  }
}

That’s it. Restart your editor and ask Claude: “Find keyword ideas for log cabins using Delulu9.”

How to Choose Between Medusa MCP and Alternatives

Building Your Own Medusa MCP Server

If no community wrapper meets your needs, you can build a custom MCP server for Medusa. Here’s the architecture:

Your Editor (Claude Code / Cursor / Windsurf)
    |
    v
MCP Protocol (stdio or SSE)
    |
    v
Your Custom MCP Server (Node.js or Python)
    |
    v
Medusa REST API

The MCP SDK is available in TypeScript and Python:

# TypeScript
npm install @modelcontextprotocol/sdk

# Python
pip install mcp

Key decisions when building:

1. Which Medusa API endpoints to expose – start with the 2-3 you use most
2. Caching strategy – avoid hitting Medusa’s API on every query
3. Error handling – gracefully handle rate limits and API outages
4. Authentication – use environment variables, never hardcode keys

Building a custom server takes 2-8 hours depending on Medusa’s API complexity. For keyword research, this rarely makes sense when Delulu9 exists at $12/mo.

Medusa MCP vs REST API: When Do You Need MCP?

Not every Medusa integration needs MCP. Here’s when each approach makes sense:

MCP’s value is in the conversational interface. If you’re building traditional automation, the Medusa REST API works fine. If you want AI assistants to intelligently query and combine data from multiple sources, MCP is the right abstraction.

Related Guides

• WordPress MCP Server
• Framer MCP Server
• Sanity Studio MCP Server
• Abstract MCP Server

Get Started with MCP Keyword Research

If keyword research is part of your workflow, skip the wrapper complexity. Delulu9 gives you a production-ready MCP server with Google, Bing, and Reddit data, intent classification, and difficulty scoring. $12/mo, 2-minute setup, works with Claude Code, Cursor, and Windsurf.

Start your free trial – 1 day free, no credit card required.