by disruption-hub
Boost Payload CMS 3.0 development with validation, querying, and Redis-integrated code generation for efficient project
Provides code validation, template generation, and project scaffolding for Payload CMS 3.0 development. Helps developers build CMS applications following best practices with integrated Redis persistence.
Payload CMS is a community-built MCP server published by disruption-hub that provides AI assistants with tools and capabilities via the Model Context Protocol. Boost Payload CMS 3.0 development with validation, querying, and Redis-integrated code generation for efficient project It is categorized under productivity, developer tools.
You can install Payload CMS 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
Payload CMS 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
We wired Payload CMS into a staging workspace; the listing’s GitHub and npm pointers saved time versus hunting across READMEs.
Strong directory entry: Payload CMS surfaces stars and publisher context so we could sanity-check maintenance before adopting.
Strong directory entry: Payload CMS surfaces stars and publisher context so we could sanity-check maintenance before adopting.
Payload CMS has been reliable for tool-calling workflows; the MCP profile page is a good permalink for internal docs.
Useful MCP listing: Payload CMS is the kind of server we cite when onboarding engineers to host + tool permissions.
We evaluated Payload CMS against two servers with overlapping tools; this profile had the clearer scope statement.
Payload CMS has been reliable for tool-calling workflows; the MCP profile page is a good permalink for internal docs.
According to our notes, Payload CMS benefits from clear Model Context Protocol framing — fewer ambiguous “AI plugin” claims.
Payload CMS reduced integration guesswork — categories and install configs on the listing matched the upstream repo.
According to our notes, Payload CMS benefits from clear Model Context Protocol framing — fewer ambiguous “AI plugin” claims.
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The Payload CMS 3.0 MCP Server is a specialized Model Context Protocol server designed to enhance your Payload CMS development experience. It helps developers build better Payload CMS applications by providing code validation, template generation, and project scaffolding capabilities that follow best practices.
<hr>validate - Validate code for collections, fields, globals, and configquery - Query validation rules and best practicesmcp_query - Execute SQL-like queries for Payload CMS structuresgenerate_template - Generate code templates for various componentsgenerate_collection - Create complete collection definitionsgenerate_field - Generate field definitions with proper typingscaffold_project - Create entire Payload CMS project structuresvalidate_scaffold_options - Ensure scaffold options follow best practices (used internally by scaffold_project)validateValidates Payload CMS code for syntax and best practices.
Parameters:
code (string): The code to validatefileType (enum): Type of file - "collection", "field", "global", or "config"Example Prompt:
Can you validate this Payload CMS collection code?
```typescript
export const Posts = {
slug: 'posts',
fields: [
{
name: 'title',
type: 'text',
required: true,
},
{
name: 'content',
type: 'richText',
}
],
admin: {
useAsTitle: 'title',
}
}
queryQueries validation rules and best practices for Payload CMS.
Parameters:
query (string): The query stringfileType (optional enum): Type of file - "collection", "field", "global", or "config"Example Prompt:
What are the best practices for implementing access control in Payload CMS collections?
mcp_queryExecutes SQL-like queries against Payload CMS structures.
Parameters:
sql (string): SQL-like query stringExample Prompt:
Can you execute this query to find all valid field types in Payload CMS?
SELECT field_types FROM payload_schema WHERE version = '3.0'
generate_templateGenerates code templates for various Payload CMS components.
Parameters:
templateType (enum): Type of template - "collection", "field", "global", "config", "access-control", "hook", "endpoint", "plugin", "block", "migration"options (record): Configuration options for the templateExample Prompt:
Generate a template for a Payload CMS hook that logs when a document is created.
generate_collectionGenerates a complete Payload CMS collection definition.
Parameters:
slug (string): Collection slugfields (optional array): Array of field objectsauth (optional boolean): Whether this is an auth collectiontimestamps (optional boolean): Whether to include timestampsadmin (optional object): Admin panel configurationhooks (optional boolean): Whether to include hooksaccess (optional boolean): Whether to include access controlversions (optional boolean): Whether to enable versioningExample Prompt:
Generate a Payload CMS collection for a blog with title, content, author, and published date fields. Include timestamps and versioning.
generate_fieldGenerates a Payload CMS field definition.
Parameters:
name (string): Field nametype (string): Field typerequired (optional boolean): Whether the field is requiredunique (optional boolean): Whether the field should be uniquelocalized (optional boolean): Whether the field should be localizedaccess (optional boolean): Whether to include access controladmin (optional object): Admin panel configurationvalidation (optional boolean): Whether to include validationdefaultValue (optional any): Default value for the fieldExample Prompt:
Generate a Payload CMS image field with validation that requires alt text and has a description in the admin panel.
scaffold_projectScaffolds a complete Payload CMS project structure.
Parameters:
projectName (string): Name of the projectdescription (optional string): Project descriptionserverUrl (optional string): Server URLdatabase (optional enum): Database type - "mongodb" or "postgres"auth (optional boolean): Whether to include authenticationadmin (optional object): Admin panel configurationcollections (optional array): Array of collection objectsglobals (optional array): Array of global objectsblocks (optional array): Array of block objectsplugins (optional array): Array of plugin stringstypescript (optional boolean): Whether to use TypeScriptExample Prompt:
Scaffold a Payload CMS project called "blog-platform" with MongoDB, authentication, and collections for posts, categories, and users. Include a global for site settings.
<hr>
Before you begin, make sure you have:
To use with Cursor IDE:
railway run --service=YOUR_SERVICE_IDOnce configured, you can use these tools in your AI prompts:
A typical workflow with the Payload CMS MCP Server:
Here's a complete example of how you might use the MCP server in a conversation:
User: I need to create a Payload CMS collection for a product catalog.
AI: I'll help you create a product catalog collection. Let me generate a template for you.
[Uses generate_collection tool]
Here's a collection template for your product catalog:
```typescript
import { CollectionConfig } from 'payload/types';
export const Products: CollectionConfig = {
slug: 'products',
admin: {
useAsTitle: 'name',
defaultColumns: ['name', 'price', 'category', 'inStock'],
group: 'Shop',
},
access: {
read: () => true,
},
fields: [
{
name: 'name',
type: 'text',
required: true,
},
{
name: 'description',
type: 'richText',
},
{
name: 'price',
type: 'number',
required: true,
},
{
name: 'category',
type: 'relationship',
relationTo: 'categories',
required: true,
},
{
name: 'images',
type: 'array',
fields: [
{
name: 'image',
type: 'upload',
relationTo: 'media',
required: true,
},
{
name: 'altText',
type: 'text',
required: true,
}
]
},
{
name: 'inStock',
type: 'checkbox',
defaultValue: true,
},
],
timestamps: true,
}
User: Can you validate this code to make sure it follows best practices?
AI: I'll validate the code for you.
[Uses validate tool]
The validation results show that your code is valid and follows best practices. Here are a few suggestions:
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.