KeystoneJS MCP Server: Setup, Features & Best Alternatives (2026)
Does KeystoneJS Have an MCP Server?
As of February 2026, KeystoneJS does not offer an official, first-party MCP server. This is the current landscape:
- Official MCP server: Not available from KeystoneJS directly
- Community wrappers: Check GitHub for community-maintained projects that wrap the KeystoneJS API for MCP compatibility
- API availability: KeystoneJS offers a REST API that could be wrapped in a custom MCP server
- Expected timeline: No public announcements from KeystoneJS about MCP support
The absence of an official server doesn’t mean you can’t use KeystoneJS data with AI assistants. Several approaches exist, ranging from community wrappers to building your own MCP server around the KeystoneJS API.
Why Connect KeystoneJS to an MCP Server?
KeystoneJS 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 KeystoneJS 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 KeystoneJS MCP (Community Approach)
Since KeystoneJS doesn’t have an official MCP server, here’s how to set up a community wrapper or build your own.
keystonejs-mcp-server or mcp-keystonejs. Look for repositories with recent commits, good documentation, and active maintenance. Check the MCP server registry for officially listed community servers.If a community package exists, install it:
npm install -g @community/keystonejs-mcp-server
If building your own, clone a starter template:
git clone https://github.com/modelcontextprotocol/server-template
cd server-template
npm install
Add the server to your Claude Code MCP configuration at ~/.claude.json or your project’s .mcp.json:
{
"mcpServers": {
"keystonejs": {
"command": "npx",
"args": [
"@community/keystonejs-mcp-server"
],
"env": {
"KEYSTONEJS_API_KEY": "your-api-key-here"
}
}
}
}
In Cursor, open Settings > MCP Servers and add the same configuration. Cursor uses the same MCP protocol as Claude Code, so most servers work identically in both environments.
{
"mcpServers": {
"keystonejs": {
"command": "npx",
"args": ["@community/keystonejs-mcp-server"],
"env": {
"KEYSTONEJS_API_KEY": "your-api-key-here"
}
}
}
}
Restart your editor and test the connection by asking your AI assistant to query KeystoneJS:
"Can you check if the KeystoneJS MCP server is connected? Try listing available tools."
If the connection fails, check that your API key is valid, the MCP server process is running, and your firewall isn’t blocking local connections.
KeystoneJS MCP Server: What You Can and Cannot Do
What Works with a Community Wrapper
Community-built MCP servers for KeystoneJS typically support read operations – pulling data from the KeystoneJS API and making it available to your AI assistant. This covers most analytical and reporting use cases.
| Operation | Typically Supported | Notes |
|---|---|---|
| Read data | Yes | Most wrappers expose read endpoints |
| Search/query | Yes | If the KeystoneJS API supports it |
| Create/write | Sometimes | Depends on wrapper completeness |
| Delete/modify | Rarely | Most wrappers are read-only for safety |
| Webhooks/streaming | Rarely | Requires more complex server architecture |
| Authentication | Usually API key | OAuth flows are harder to implement in MCP |
Known Limitations
- Rate limits: Community wrappers inherit the rate limits of your KeystoneJS 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 KeystoneJS 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.
KeystoneJS MCP Pricing Considerations
The cost of using KeystoneJS through MCP depends on several factors:
| Cost Component | Details |
|---|---|
| KeystoneJS subscription | Your existing KeystoneJS plan determines API access |
| API usage | Some plans have per-request or rate-limited API access |
| MCP server hosting | Free if running locally; cost if self-hosting remotely |
| Community wrapper | Usually free and open-source |
Important: Some KeystoneJS 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 KeystoneJS
If KeystoneJS 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.
| Feature | Delulu9 | KeystoneJS (via wrapper) |
|---|---|---|
| Official MCP server | Yes (hosted, maintained) | Community-maintained |
| Setup time | Under 2 minutes | 15-60 minutes |
| Google keyword data | Yes | Depends on wrapper |
| Bing keyword data | Yes | Unlikely |
| Reddit keyword data | Yes | No |
| Search intent categorization | Built-in (automatic) | Manual or unavailable |
| Keyword difficulty scoring | Built-in | Depends on KeystoneJS API |
| Rate limiting | 1,000 requests/hour | Depends on KeystoneJS plan |
| Uptime & reliability | 99.9% (hosted infrastructure) | Depends on your setup |
| Price | $12/mo flat | KeystoneJS subscription + API costs |
| Support | Email + documentation | Community only |
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:
- No API key chain: You don’t need a separate subscription to another service. One API key, one bill.
- Reddit data is exclusive: No other keyword research MCP server combines Google, Bing, and Reddit autocomplete data in a single query.
- Intent is automatic: Every keyword result includes intent classification (informational, commercial, transactional, navigational) without manual tagging.
- 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 tire shops using Delulu9.”
How to Choose Between KeystoneJS MCP and Alternatives
- If you already pay for KeystoneJS and need its specific data in your AI workflow, invest the time to set up a community MCP wrapper
- If keyword research is your primary need, Delulu9 at $12/mo is faster to set up and more reliable than wrapping another tool’s API
- If you need KeystoneJS for non-keyword tasks (content management, page building, and editorial workflow capabilities), check whether a community MCP wrapper exists and is actively maintained
- Always verify API access is included in your KeystoneJS plan before attempting MCP setup
- Consider running community wrappers locally first to test reliability before depending on them
Building Your Own KeystoneJS MCP Server
If no community wrapper meets your needs, you can build a custom MCP server for KeystoneJS. 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
KeystoneJS REST API
The MCP SDK is available in TypeScript and Python:
# TypeScript
npm install @modelcontextprotocol/sdk
# Python
pip install mcp
Key decisions when building:
- Which KeystoneJS API endpoints to expose – start with the 2-3 you use most
- Caching strategy – avoid hitting KeystoneJS’s API on every query
- Error handling – gracefully handle rate limits and API outages
- Authentication – use environment variables, never hardcode keys
Building a custom server takes 2-8 hours depending on KeystoneJS’s API complexity. For keyword research, this rarely makes sense when Delulu9 exists at $12/mo.
KeystoneJS MCP vs REST API: When Do You Need MCP?
Not every KeystoneJS integration needs MCP. Here’s when each approach makes sense:
| Scenario | Use MCP | Use REST API directly |
|---|---|---|
| AI assistant needs KeystoneJS data | Yes | Possible but awkward |
| Automated scripts/pipelines | MCP or REST | REST is simpler |
| Browser-based dashboards | No | Yes |
| One-off data pulls | Either works | REST is fine |
| Conversational data exploration | Yes | No |
| Multi-tool AI workflows | Yes | Too complex with REST |
MCP’s value is in the conversational interface. If you’re building traditional automation, the KeystoneJS REST API works fine. If you want AI assistants to intelligently query and combine data from multiple sources, MCP is the right abstraction.
~/.claude.json. See the step-by-step setup guide above for detailed instructions.
Related Guides
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.
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