Minio MCP Service
Exposes MinIO data through Resources. The server can access and provide: Text files (automatically detected based on file extension) Binary files (handled as application/octet-stream) Bucket contents (up to 1000 objects per bucket) Tools ListBuckets Returns a list of all buckets owned by the authenticated sender of the request Optional parameters: start_after (pagination), max_buckets (limit results) ListObjects Returns some or all (up to 1,000) of the objects in a bucket with each request Required parameter: bucket_name Optional parameters: prefix (filter by prefix), max_keys (limit results) GetObject Retrieves an object from MinIO Required parameters: bucket_name, object_name PutObject Uploads a file to MinIO bucket using fput method Required parameters: bucket_name, object_name, file_path
What is Minio MCP Service?
what is Minio MCP Service? Minio MCP Service is a server and client implementation for the Model-Context Protocol (MCP) that allows standardized interaction with MinIO object storage, enabling access to various data types and bucket contents. how to use Minio MCP Service? To use the Minio MCP Service, clone the repository, install the dependencies, configure the environment, and run the server. You can interact with the server using either the Basic Client or the Anthropic Client for AI-powered interactions. key features of Minio MCP Service? Exposes MinIO data through Resources, including text and binary files. Provides tools for listing buckets and objects, retrieving, and uploading files. Supports multiple client implementations for different interaction methods. use cases of Minio MCP Service? Managing and accessing object storage in MinIO. Integrating with AI models for enhanced data interaction. Facilitating data retrieval and upload operations in cloud applications. FAQ from Minio MCP Service? What types of files can be accessed? The service can access text files and binary files. How do I run the server? You can run the server using the command: python src/minio_mcp_server/server.py. Is there a client for AI interactions? Yes, there is an Anthropic Client that integrates with Claude models for AI-powered interactions.
As an MCP (Model Context Protocol) server, Minio MCP Service enables AI agents to communicate effectively through standardized interfaces. The Model Context Protocol simplifies integration between different AI models and agent systems.
How to use Minio MCP Service
To use the Minio MCP Service, clone the repository, install the dependencies, configure the environment, and run the server. You can interact with the server using either the Basic Client or the Anthropic Client for AI-powered interactions. key features of Minio MCP Service? Exposes MinIO data through Resources, including text and binary files. Provides tools for listing buckets and objects, retrieving, and uploading files. Supports multiple client implementations for different interaction methods. use cases of Minio MCP Service? Managing and accessing object storage in MinIO. Integrating with AI models for enhanced data interaction. Facilitating data retrieval and upload operations in cloud applications. FAQ from Minio MCP Service? What types of files can be accessed? The service can access text files and binary files. How do I run the server? You can run the server using the command: python src/minio_mcp_server/server.py. Is there a client for AI interactions? Yes, there is an Anthropic Client that integrates with Claude models for AI-powered interactions.
Learn how to integrate this MCP server with your AI agents and leverage the Model Context Protocol for enhanced capabilities.
Use Cases for this MCP Server
- No use cases specified.
MCP servers like Minio MCP Service can be used with various AI models including Claude and other language models to extend their capabilities through the Model Context Protocol.
About Model Context Protocol (MCP)
The Model Context Protocol (MCP) is a standardized way for AI agents to communicate with various services and tools. MCP servers like Minio MCP Service provide specific capabilities that can be accessed through a consistent interface, making it easier to build powerful AI applications with complex workflows.
Browse the MCP Directory to discover more servers and clients that can enhance your AI agents' capabilities.