What tools does Sample TOS Model Context Protocol Server provide?
It provides three tools: `list_buckets` (list all storage buckets), `list_objects` (list objects in a bucket), and `get_object` (retrieve the content of a specified object).
@dinghuazhou
Basic information
Explore and retrieve content from Volcengine's Torch Object Storage (TOS) using natural language queries.
Add this server to your MCP-compatible client using the configuration below.
{
"mcpServers": {
"sample-mcp-server-tos": {
"command": "uv",
"args": [
"sync"
]
}
}
}Tool list not available yet
This listing does not currently have a tool list to display. This does not mean the server has no tools; check its documentation for supported capabilities.
We auto-extract tools from the README. The maintainer can list them under a ## Tools heading to populate this section.
Sample TOS Model Context Protocol Server is an MCP server from Volcano Engine that provides powerful query capabilities for TOS (Tinder Object Storage). It allows users to explore and retrieve content stored in TOS using natural language, improving the efficiency of data access. It can be combined with other Volcano Engine cloud product MCP servers to build intelligent business applications.
Install Python 3.10 or higher and uv. Configure environment variables for Volcano Engine credentials (access key, secret key, region, endpoint, optional security token and bucket). Then run the server via uv or uvx. Add the server configuration to your MCP settings file.
It provides three tools: `list_buckets` (list all storage buckets), `list_objects` (list objects in a bucket), and `get_object` (retrieve the content of a specified object).
Authentication uses Volcano Engine credentials. You must set the environment variables `VOLCENGINE_ACCESS_KEY`, `VOLCENGINE_SECRET_KEY`, `VOLCENGINE_REGION`, and `TOS_ENDPOINT` (optionally `SECURITY_TOKEN` and `TOS_BUCKETS`).
Python 3.10 or higher and `uv` (the Astral package manager) are required. Dependencies are managed via `uv sync` and the server is built with `uv build`.
It is adapted for platforms including Fangzhou, Python, and Cursor.
The server can be run via `uvx` with the required environment variables as shown in the README. The configuration is added to the MCP settings file (JSON format).
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