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MCP Pixabay Server

A Pixabay API service based on the MCP protocol, providing image and video search functions for AI models.
2.5 points
16

What is MCP Pixabay Server?

MCP Pixabay Server is a middleware service that follows the MCP (Model Context Protocol). It serves as a bridge between AI models and the Pixabay platform, allowing AI to search for and obtain high - quality image and video resources on Pixabay through simple commands.

How to use MCP Pixabay Server?

You can use it in three ways: 1) Run it as a global command - line tool. 2) Integrate it as a project dependency. 3) Use it in conjunction with an AI model (such as Claude). With simple configuration, AI can directly call the search function.

Applicable scenarios

It is suitable for AI application scenarios that require rich visual content, such as content creation assistants, social media copywriting generation, educational material production, design inspiration stimulation, and any AI interaction that requires high - quality image/video support.

Main features

Image searchSupports searching the Pixabay image library through multiple conditions such as keywords, image types, orientations, and colors.
Video searchProvides a video resource search function, allowing results to be filtered by type, category, etc.
MCP protocol integrationFully compatible with the MCP protocol standard and can seamlessly collaborate with AI models that support MCP.

Advantages and limitations

Advantages
Simplify the process for AI models to access Pixabay resources
Provide rich search parameters to meet different needs
Standardized interfaces facilitate multi - model integration
Lightweight service is easy to deploy
Limitations
Requires a valid Pixabay API key
Subject to the limitations of Pixabay API calls
Currently only supports search functions and does not support uploading

How to use

Install the service
Install globally via npm or as a project dependency
Configure the API key
Set the Pixabay API key environment variable
Start the service
Run the service to make it ready to receive MCP requests
AI model integration
Add service configuration to the MCP configuration of the AI model

Usage examples

Travel blog content creationWhen an AI assistant helps users write a travel blog, it automatically searches for relevant destination images.
Educational material generationAutomatically add relevant animal videos when generating animal science popularization content.

Frequently asked questions

How to obtain a Pixabay API key?
Is there a limit to the number of search results?
Which AI models does the service support?

Related resources

MCP protocol official website
Understand the MCP protocol specification and design concept
Pixabay API documentation
Official Pixabay API reference documentation
GitHub repository
Project source code and issue tracking
Installation
Copy the following command to your Client for configuration
Note: Your key is sensitive information, do not share it with anyone.
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