Akave MCP Server
A Model Context Protocol (MCP) server that enables AI models to interact with Akave's S3-compatible storage. This server provides a set of tools for managing your Akave storage buckets and objects through AI models like Claude and local LLMs.
What is MCP?
The Model Context Protocol (MCP) is an open protocol that standardizes how applications provide context to Large Language Models (LLMs). Think of MCP like a USB-C port for AI applications - it provides a standardized way to connect AI models to different data sources and tools.
Features
List and manage buckets
Upload, download, and manage objects
Generate signed URLs for secure access
Support for both Claude and local LLMs (via Ollama)
Simple configuration through JSON
Prerequisites
Node.js 16+
Access to an Akave account with:
Access Key ID
Secret Access Key
Endpoint URL
For local LLM support:
Go 1.23 or later
Ollama installed
Quick Start
Create a configuration file (e.g., mcp.json
):
Usage with Claude Desktop
Download and install Claude for Desktop (macOS or Windows)
Open Claude Desktop Settings:
Click on the Claude menu
Select "Settings..."
Click on "Developer" in the left-hand bar
Click on "Edit Config"
This will create/update the configuration file at:
macOS:
~/Library/Application Support/Claude/claude_desktop_config.json
Windows:
%APPDATA%\Claude\claude_desktop_config.json
Add the Akave MCP server configuration to the file:
Restart Claude Desktop
You should see a slider icon in the bottom left corner of the input box. Click it to see the available Akave tools.
Usage with Local LLMs (Ollama)
Install MCPHost:
Start MCPHost with your preferred model using the same configuration file:
You can use any Ollama model, for example:
ollama:mistral
ollama:qwen2.5
ollama:llama2
Available Tools
The server provides the following MCP tools:
list_buckets
: List all buckets in your Akave storagelist_objects
: List objects in a bucket with optional prefix filteringget_object
: Read object contents from a bucketput_object
: Write a new object to a bucketget_signed_url
: Generate a signed URL for secure access to an objectupdate_object
: Update an existing objectdelete_object
: Delete an object from a bucketcopy_object
: Copy an object to another locationcreate_bucket
: Create a new bucketdelete_bucket
: Delete a bucketget_bucket_location
: Get the region/location of a bucketlist_object_versions
: List all versions of objects (if versioning enabled)
Example Usage
Listing Buckets
Reading a File
Uploading a File
Troubleshooting
Common Issues
Connection Refused
Ensure your Akave credentials are correct in the MCP configuration
Check if the endpoint URL is accessible
Verify your network connection
File Reading Issues
For markdown files, ensure proper encoding
For binary files, use appropriate tools
Check file permissions
Local LLM Issues
Ensure Ollama is running
Verify model compatibility
Check MCPHost configuration
Use
--debug
flag for detailed logs
Claude Desktop Issues
Check logs at:
macOS:
~/Library/Logs/Claude/mcp*.log
Windows:
%APPDATA%\Claude\logs\mcp*.log
Ensure Node.js is installed globally
Verify the configuration file syntax
Try restarting Claude Desktop
Contributing
Contributions are welcome! Please feel free to submit an issue or a pull request.
Support
For issues and feature requests, please create an issue in the GitHub repository.
This server cannot be installed
hybrid server
The server is able to function both locally and remotely, depending on the configuration or use case.
Enables AI models to interact with Akave's S3-compatible storage by providing tools for managing storage buckets and objects through standardized Model Context Protocol (MCP).
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