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MCP de entrega contentful
Servidor MCP contento para la API de entrega
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Contentful Delivery MCP Server
A Model Context Protocol (MCP) server that provides seamless access to Contentful's Delivery API through AI assistants. Query and retrieve content entries, assets, and content types using natural language.
Quick Start
Install the package in your project:
npm install @mshaaban0/contentful-delivery-mcp-server
Or globally:
npm install -g @mshaaban0/contentful-delivery-mcp-server
Set up your Contentful credentials:
export CONTENTFUL_SPACE_ID="your_space_id"
export CONTENTFUL_ACCESS_TOKEN="your_access_token"
# Optional: Restrict content to specific content types
export CONTENTFUL_CONTENT_TYPE_IDS="blogPost,article,product"
Features
- Natural language queries to search content
- Retrieve entries by ID or content type
- Asset management
- Content type schema access
- Pagination support
- Rich text content handling
Available Tools
-
query_entries
- Natural language search across all content -
get_entry
- Fetch specific entry by ID -
get_entries
- List entries with filtering -
get_assets
- Browse all assets -
get_asset
- Get asset details by ID -
get_content_type
- View content type schema -
get_content_types
- List available content types
Integration with Mastra AI
Mastra AI provides seamless integration with this MCP server. Here's how to set it up:
import { MastraMCPClient } from "@mastra/mcp";
import { Agent } from "@mastra/core/agent";
// Initialize the MCP client
const contentfulClient = new MastraMCPClient({
name: "contentful-delivery",
server: {
command: "npx",
args: ["-y", "@mshaaban0/contentful-delivery-mcp-server@latest"],
env: {
CONTENTFUL_ACCESS_TOKEN: "your_access_token",
CONTENTFUL_SPACE_ID: "your_space_id",
// Optional: Restrict content to specific content types
CONTENTFUL_CONTENT_TYPE_IDS: "blogPost,article,product"
}
}
});
// Create an AI agent with access to Contentful
const assistant = new Agent({
name: "Content Assistant",
instructions: `
You are a helpful assistant with access to our content database.
Use the available tools to find and provide accurate information.
`,
model: "gpt-4",
});
// Connect and register tools
await contentfulClient.connect();
const tools = await contentfulClient.tools();
assistant.__setTools(tools);
// Example usage
const response = await assistant.chat("Find articles about machine learning");
Development
# Clone the repo
git clone https://github.com/mshaaban0/contentful-delivery-mcp-server.git
# Install dependencies
npm install
# Build
npm run build
# Development with auto-rebuild
npm run watch
# Run the inspector
npm run inspector
Debugging
The MCP Inspector provides a web interface for debugging:
npm run inspector
Visit the provided URL to access the debugging tools.
Resources
License
MIT
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Reviews

user_cKKXde7G
I've been using contentful-delivery-mcp for a while now, and it has truly streamlined my content management workflows. The integration is seamless, and the documentation provided by mshaaban0 is crystal clear. Highly recommended for anyone looking to enhance their content management process. Discover more here: https://github.com/mshaaban0/contentful-delivery-mcp.