Strapi MCP Server
The Strapi MCP Server acts as a standardized interface for AI assistants to interact with Strapi CMS instances, enabling seamless content management and REST API operations.
Schema Introspection: Retrieve and analyze schemas of all content types and components
REST API Operations: Perform CRUD operations (GET, POST, PUT, DELETE) with built-in validation
Data Manipulation: Filter, sort, paginate, and populate data using REST API parameters
Media Upload: Upload files with format conversion, quality control, and metadata management
Content Type Management: List and manage content types with pagination support
Version Compatibility: Automatically handle differences between Strapi v4 and v5
Security Features: Implement strict write protection policies requiring explicit authorization
Multiple Server Support: Configure and manage multiple Strapi instances in one environment
Enables interaction with a Strapi CMS instance through its REST API, supporting content types management, media uploads, schema introspection, and CRUD operations with version compatibility for both Strapi v4 and v5.
Click on "Install Server".
Wait a few minutes for the server to deploy. Once ready, it will show a "Started" state.
In the chat, type
@followed by the MCP server name and your instructions, e.g., "@Strapi MCP Serverlist all articles from the blog server"
That's it! The server will respond to your query, and you can continue using it as needed.
Here is a step-by-step guide with screenshots.
Strapi MCP Server
A Model Context Protocol server for interacting with Strapi CMS. This server enables AI assistants to interact with your Strapi instance through a standardized interface, supporting content types and REST API operations.
โ ๏ธ IMPORTANT DISCLAIMER: This software has been developed with the assistance of AI technology. It is provided as-is and should NOT be used in production environments without thorough testing and validation. The code may contain errors, security vulnerabilities, or unexpected behavior. Use at your own risk for research, learning, or development purposes only.
Changelog
Version 2.6.0 - Enhanced Validation & Debugging Update
๐ง Implemented structured error handling with McpError and ErrorCode
โ Added comprehensive Zod validation for runtime type safety
๐ Integrated comprehensive logging system with request tracking
๐ Added debug mode configuration with environment variables
๐งน Removed unused prompt handlers for cleaner codebase
โฌ๏ธ Updated all dependencies to latest versions
๐ Added DEBUGGING.md guide for development workflow
๐ก๏ธ Enhanced security with better input validation
๐ Improved developer experience with detailed error messages
For complete version history, see CHANGELOG.md.
Related MCP server: Directus MCP Server
Features
๐ Schema introspection
๐ REST API support with validation
๐ธ Media upload handling
๐ JWT authentication
๐ Content type management
๐ผ๏ธ Image processing with format conversion
๐ Multiple server support
โ Automatic schema validation
๐ Write protection policy
๐ Integrated documentation
๐ Version compatibility management
Installation
You can use this server directly with npx in your Claude Desktop configuration:
{
"mcpServers": {
"strapi": {
"command": "npx",
"args": ["-y", "@bschauer/strapi-mcp-server@2.6.0"]
}
}
}Configuration
Create a configuration file at ~/.mcp/strapi-mcp-server.config.json:
{
"myserver": {
"api_url": "http://localhost:1337",
"api_key": "your-jwt-token-from-strapi-admin",
"version": "5.*" // Optional: Specify Strapi version (e.g., "5.*", "4.1.5", "v4")
}
}You can configure multiple Strapi instances by adding them to this file.
Version Configuration
The server now supports various version formats:
Wildcard: "5.", "4."
Specific: "4.1.5", "5.0.0"
Simple: "v4", "v5"
This helps the server provide version-specific guidance and handle API differences appropriately.
Getting a JWT Token
Log in to your Strapi admin panel
Create an API token with appropriate permissions
Add the token to your config file under the appropriate server name
Usage
List Available Servers
strapi_list_servers();
// Now includes version information and differences between v4 and v5Content Types
// Get all content types from a specific server
strapi_get_content_types({
server: "myserver",
});
// Get components with pagination
strapi_get_components({
server: "myserver",
page: 1,
pageSize: 25,
});REST API
The REST API provides comprehensive CRUD operations with built-in validation and version-specific handling:
// Query content with filters
strapi_rest({
server: "myserver",
endpoint: "api/articles",
method: "GET",
params: {
filters: {
title: {
$contains: "search term",
},
},
},
});
// Create new content
strapi_rest({
server: "myserver",
endpoint: "api/articles",
method: "POST",
body: {
data: {
title: "New Article",
content: "Article content",
category: "news",
},
},
});
// Update content
strapi_rest({
server: "myserver",
endpoint: "api/articles/123",
method: "PUT",
body: {
data: {
title: "Updated Title",
content: "Updated content",
},
},
});
// Delete content
strapi_rest({
server: "myserver",
endpoint: "api/articles/123",
method: "DELETE",
});Media Upload
// Upload image with automatic optimization
strapi_upload_media({
server: "myserver",
url: "https://example.com/image.jpg",
format: "webp",
quality: 80,
metadata: {
name: "My Image",
caption: "Image Caption",
alternativeText: "Alt Text",
},
});Version Differences (v4 vs v5)
Key differences between Strapi versions that the server handles automatically:
v4
Uses numeric IDs
Nested attribute structure
Data wrapper in responses
Traditional REST patterns
External i18n plugin
v5
Document-based IDs
Flat data structure
Direct attribute access
Enhanced JWT security
Integrated i18n support
New Document Service API
Security Features
Write Protection Policy
The server implements a strict write protection policy:
All write operations require explicit authorization
Protected operations include:
POST (Create)
PUT (Update)
DELETE
Media Upload
Each operation is logged and validated
Best Practices
Always check schema first with
strapi_get_content_typesUse proper plural/singular forms for endpoints
Include error handling in your queries
Validate URLs before upload
Start with minimal queries and add population only when needed
Always include the complete data object when updating
Use filters to optimize query performance
Leverage built-in schema validation
Check version compatibility for your operations
Follow the write protection policy guidelines
REST API Tips
Filtering
// Filter by field value
params: {
filters: {
title: "Exact Match";
}
}
// Contains filter
params: {
filters: {
title: {
$contains: "partial";
}
}
}
// Multiple conditions
params: {
filters: {
$and: [{ category: "news" }, { published: true }];
}
}Sorting
params: {
sort: ["createdAt:desc"];
}Pagination
params: {
pagination: {
page: 1,
pageSize: 25
}
}Population
// Basic request without population
params: {
}
// Selective population when needed
params: {
populate: ["category"];
}
// Detailed population with field selection
params: {
populate: {
category: {
fields: ["name", "slug"];
}
}
}Troubleshooting
Common issues and solutions:
404 Errors
Check endpoint plural/singular form
Verify content type exists
Ensure correct API URL
Check if using correct ID format (numeric vs document-based)
Authentication Issues
Verify JWT token is valid
Check token permissions
Ensure token hasn't expired
Version-Related Issues
Verify version specification in config
Check data structure matches version
Review version differences documentation
Write Protection Errors
Ensure operation is authorized
Check if operation is protected
Verify request follows security policy
Contributing
Contributions are welcome! Please feel free to submit a Pull Request.
License
MIT
Available Tools
5 toolsstrapi_get_componentsA
Get all components from Strapi with pagination support. Returns both component data and pagination metadata (page, pageSize, total, pageCount).
| Name | Required | Description | Default |
|---|---|---|---|
| server | Yes | The name of the server to connect to | |
| page | No | Page number (starts at 1) | |
| pageSize | No | Number of items per page |
TDQS
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
No annotations are provided, so the description must convey behavioral traits. It mentions pagination support and return format (component data + metadata), but does not explicitly state read-only nature, error handling, or rate limits. The added detail is useful but incomplete.
Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.
Is the description appropriately sized, front-loaded, and free of redundancy?
Two sentences: the first states the core function, the second details the output. Every word is purposeful, no redundancy. Front-loaded with the most important information.
Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.
Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?
Given no output schema and no annotations, the description outlines the returned data types but lacks detail on component structure, error responses, or pagination field semantics. It is adequate but not thorough.
Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.
Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?
Input schema covers all 3 parameters with descriptions (100% coverage). The description adds no additional meaning beyond the schema's own descriptions; it only reiterates pagination in broad terms.
Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.
Does the description clearly state what the tool does and how it differs from similar tools?
The description clearly states the action ('Get all components from Strapi') and includes pagination support, distinguishing it from siblings like 'get_content_types' by resource type. It is specific and unambiguous.
Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.
Does the description explain when to use this tool, when not to, or what alternatives exist?
The description provides no guidance on when to use this tool versus alternatives (e.g., strapi_get_content_types, strapi_rest). There is no mention of prerequisites, scenarios, or exclusions.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
strapi_get_content_typesB
Get all content types from Strapi. Returns the complete schema of all content types.
Initialization Steps (ALWAYS DO FIRST)
Get schema and analyze with this tool
Capture Content Types and structures
Remember endpoint names (pluralName/singularName)
Document fields and types
Identify relations
Consider required fields and validations
Schema Conventions
singularName: Used for single item queries (e.g., "article")
pluralName: Used for collection endpoints (e.g., "articles")
collectionName: Database collection name
Endpoint Patterns
Collection: GET /api/{pluralName}
Single: GET /api/{pluralName}/{id}
Create: POST /api/{pluralName}
Update: PUT /api/{pluralName}/{id}
Delete: DELETE /api/{pluralName}/{id}
| Name | Required | Description | Default |
|---|---|---|---|
| server | Yes | The name of the server to connect to |
TDQS
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
No annotations are provided, so the description carries full burden. It states a read operation but lacks details on side effects, auth needs, rate limits, or error behavior. The extra conventions section does not describe this tool's behavior.
Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.
Is the description appropriately sized, front-loaded, and free of redundancy?
The description is verbose and includes extensive redundant material (initialization steps, schema conventions, endpoint patterns) that are not specific to this tool. Not every sentence earns its place.
Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.
Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?
For a simple list tool with one parameter and no output schema, the description states the return value (complete schema) but lacks details on format, pagination, or errors. The extra context about Strapi conventions is helpful but not necessary.
Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.
Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?
The input schema already provides a clear description for the single 'server' parameter. The tool description adds no additional meaning beyond what the schema provides, baseline 3 is appropriate.
Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.
Does the description clearly state what the tool does and how it differs from similar tools?
The description explicitly states 'Get all content types from Strapi. Returns the complete schema of all content types,' providing a clear verb+resource combination. It naturally distinguishes from siblings like strapi_get_components and strapi_rest.
Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.
Does the description explain when to use this tool, when not to, or what alternatives exist?
The 'Initialization Steps' implies this tool should be used first, but no explicit guidance on when not to use it or comparisons with sibling tools. Alternatives are not named.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
strapi_list_serversC
List all available Strapi servers from the configuration.
Security Policy
STRICT_USER_AUTHORIZATION_REQUIRED: No write operations without explicit user authorization. Protected operations: POST (Create), PUT (Update), DELETE (Delete), Media Upload. All write operations require userAuthorized: true parameter.
Strapi Version Support
Supports both Strapi v4 and v5 with automatic version detection.
Version Differences
v4: Numeric IDs, nested attributes under 'attributes', data wrapper in responses
v5: Document-based IDs (documentId), flat structure, direct attribute access
Common Errors
404: Using numeric ID instead of documentId, wrong plural/singular form
405: Incorrect endpoint (/article instead of /articles)
400: Missing data wrapper in request body
Best Practices
Always check schema first with strapi_get_content_types
Use documentId (not numeric id) for Strapi v5
Always use data wrapper for updates: { data: { field: value } }
Use pluralName for collection endpoints (api/articles)
Validate URLs with webtools before using them
| Name | Required | Description | Default |
|---|---|---|---|
No parameters | |||
TDQS
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
With no annotations, the description carries full burden. It states the tool lists servers (read-only), but includes a security policy about write operations that is irrelevant to this tool. It does not describe the output format or any side effects, leaving behavioral gaps.
Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.
Is the description appropriately sized, front-loaded, and free of redundancy?
The description starts with a clear purpose sentence but then includes a large block of general Strapi documentation (security policy, version differences, errors, best practices) that is not directly relevant to listing servers. This reduces conciseness and adds noise.
Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.
Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?
The description is incomplete for a tool with no output schema. It does not state what the returned list contains (e.g., server names, URLs). The contextual extras about version support and errors are not specific to this tool, leaving essential information missing.
Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.
Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?
The input schema has 0 parameters, so no parameter documentation is needed. The description omits parameter details, which is appropriate given the schema. Baseline 4 applies.
Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.
Does the description clearly state what the tool does and how it differs from similar tools?
The first sentence clearly states the tool's action and resource: 'List all available Strapi servers from the configuration.' This is specific and distinct from sibling tools, but the description does not explicitly differentiate it from siblings like strapi_get_content_types or strapi_rest.
Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.
Does the description explain when to use this tool, when not to, or what alternatives exist?
No explicit guidance on when to use this tool versus alternatives. The description includes best practices and common errors for Strapi in general, but does not tell the agent when listing servers is appropriate or when to use sibling tools instead.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
strapi_restA
Execute REST API requests against Strapi endpoints. IMPORTANT: All write operations (POST, PUT, DELETE) require explicit user authorization via the userAuthorized parameter.
Reading Data
params: { populate: ['SEO'] } // Populate a component params: { populate: { SEO: { fields: ['Title', 'seoDescription'] } } } // With field selection params: { filters: { title: { $contains: 'search' } } } // Filter results params: { sort: ['createdAt:desc'] } // Sort results params: { pagination: { page: 1, pageSize: 10 } } // Pagination
Writing Data (REQUIRES userAuthorized: true)
body: { data: { componentName: { Title: 'value' }, // Single component componentName: [{ field: 'value' }] // Repeatable component } }
Debugging Guide
404 Error: Check plural/singular form, use documentId not numeric id
400 Error: Check if data wrapper is present in body
405 Error: Check endpoint format (/articles not /article)
URL Errors: Validate URLs with webtools first
ID Problems: Use documentId for Strapi v5
Strapi v5 Specifics
Use documentId instead of numeric id
Direct attribute access (no nested attributes)
No data wrapper in GET responses
| Name | Required | Description | Default |
|---|---|---|---|
| server | Yes | The name of the server to connect to | |
| endpoint | Yes | The API endpoint (e.g., 'api/articles') | |
| method | No | HTTP method to use | GET |
| params | No | Optional query parameters for GET requests. For components, use populate: ['componentName'] or populate: { componentName: { fields: ['field1'] } } | |
| body | No | Request body for POST/PUT requests. For components, use: { data: { componentName: { field: 'value' } } } for single components or { data: { componentName: [{ field: 'value' }] } } for repeatable components | |
| userAuthorized | No | REQUIRED for POST/PUT/DELETE operations. Client MUST obtain explicit user authorization before setting this to true. |
TDQS
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
No annotations are provided, so the description carries the full burden. It discloses that write operations require authorization, and gives error handling tips. It does not explicitly state destructive nature or rate limits, but the authorization requirement implies mutability for writes.
Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.
Is the description appropriately sized, front-loaded, and free of redundancy?
The description is front-loaded with the critical authorization note and well-organized into sections (Reading Data, Writing Data, Debugging Guide, Strapi v5 Specifics). While comprehensive, it is slightly verbose but every section is informative and earned.
Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.
Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?
Given no output schema, the description focuses on input and common errors but does not explain what the tool returns (the API response object). It covers usage scenarios well, but for a tool with 6 parameters and no output schema, a brief mention of the return format would improve completeness.
Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.
Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?
Schema coverage is 100%, but the description adds significant value by providing concrete examples for params (populate, filters, sort, pagination) and body (single and repeatable components). It also explains the userAuthorized parameter in detail, including the need for explicit user authorization.
Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.
Does the description clearly state what the tool does and how it differs from similar tools?
The description clearly states 'Execute REST API requests against Strapi endpoints', specifying the verb (execute) and resource (REST API requests to Strapi). It is distinct from sibling tools which handle components, content types, servers, and media uploads.
Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.
Does the description explain when to use this tool, when not to, or what alternatives exist?
Explicitly says write operations (POST, PUT, DELETE) require userAuthorized: true, and provides detailed examples for reading and writing. Also includes a debugging guide and Strapi v5 specifics, helping the agent decide when and how to use this tool versus alternatives.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
strapi_upload_mediaA
Upload media to Strapi's media library from a URL with format conversion, quality control, and metadata options. IMPORTANT: This is a write operation that REQUIRES explicit user authorization via the userAuthorized parameter.
Upload Steps
Upload via strapi_upload_media with URL and metadata
Get image ID from response
Link to content using strapi_rest PUT request
Linking Images to Content (Strapi v5)
After upload, use PUT request to link: { "method": "PUT", "endpoint": "api/articles/{documentId}", "body": { "data": { "images": ["imageId"] } }, "userAuthorized": true }
| Name | Required | Description | Default |
|---|---|---|---|
| server | Yes | The name of the server to connect to | |
| url | Yes | URL of the image to upload | |
| format | No | Target format for the image. Use 'original' to keep the source format. | original |
| quality | No | Image quality (1-100). Only applies when converting formats. | |
| metadata | No | ||
| userAuthorized | No | REQUIRED for media upload operations. Client MUST obtain explicit user authorization before setting this to true. |
TDQS
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
With no annotations provided, the description carries the full burden. It correctly identifies the tool as a write operation and highlights the authorization requirement. However, it does not disclose what happens if authorization is not provided, the response structure, or any side effects beyond the immediate upload.
Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.
Is the description appropriately sized, front-loaded, and free of redundancy?
The description is relatively concise, front-loading the main purpose and important authorization note. The subsequent steps and linking example are helpful but add length. Overall, it is well-structured and readable.
Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.
Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?
Given the tool's complexity (6 parameters, nested objects, no output schema), the description provides essential context: the upload workflow, linking steps, and authorization requirement. It lacks a description of the return value but compensates with procedural guidance.
Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.
Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?
The input schema already covers 83% of parameters with descriptions. The description adds minimal new meaning beyond restating the schema's purpose and emphasizing the 'userAuthorized' requirement. Given high schema coverage, a baseline of 3 is appropriate.
Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.
Does the description clearly state what the tool does and how it differs from similar tools?
The description clearly states the tool uploads media to Strapi's media library from a URL, with format conversion, quality control, and metadata options. It distinguishes itself from sibling tools (which are get/list/rest operations) as the dedicated upload/write tool.
Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.
Does the description explain when to use this tool, when not to, or what alternatives exist?
The description emphasizes that this is a write operation requiring user authorization via the 'userAuthorized' parameter. It also provides upload steps and linking instructions, guiding the agent on how to use the tool in a workflow. However, it does not explicitly state when to use versus alternatives or when not to use.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
TDQS
Each tool targets a distinct function: schema introspection (components vs content types), server listing, generic REST execution, and media upload. No overlap in purposes.
Tools follow a strapi_verb_noun pattern mostly (get_components, get_content_types, list_servers, upload_media), but 'strapi_rest' deviates by using an acronym instead of a verb. Overall consistent.
5 tools is well-scoped for a Strapi MCP server, covering schema discovery, generic API access, media upload, and server management without superfluous tools.
The tool set provides schema introspection and a generic REST tool for all CRUD operations, plus media upload. Minor gap: no dedicated tool for content entry listing, but the REST tool covers it with schema guidance.
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