# Tencent Cloud Object Storage

> Use this tool when you need to integrate AI capabilities with cloud storage operations, such as seamless file management, metadata retrieval, and storage analytics. It provides a standardized protocol interface for structured interactions with cloud storage resources, solving problems like data management and retrieval in AI-driven applications. The tool accepts AI requests as input and returns relevant storage data as output, making it ideal for developers who require efficient cloud storage interactions in their AI projects.

Canonical page: https://skillsregistry.net/skills/tencent-cloud-object-storage  
JSON: https://api.skillsregistry.net/v1/skills/tencent-cloud-object-storage

## Description

COS MCP Server provides a TypeScript-based implementation that bridges AI assistants with Tencent Cloud Object Storage (COS) services. Built with modern Node.js practices and TypeScript for type safety, it leverages the cos-nodejs-sdk-v5 and modelcontextprotocol libraries to enable structured interactions with cloud storage resources. The server follows CNCF community standards with comprehensive linting configurations and testing support through Jest. It's designed for developers who need to integrate AI capabilities with cloud storage operations, allowing for seamless file management, metadata retrieval, and storage analytics through a standardized protocol interface.

## Trust

- **Trust score (0–1):** 0.83
- **Verification tier:** scanned
- **Last scanned:** 2026-09-19

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** data-analytics
- **Updated:** 2026-09-19

## Source

- **Source listing:** [PulseMCP](https://www.pulsemcp.com/servers/tencent-cloud-object-storage)
- **Repository:** <https://github.com/tencent/cos-mcp>

## Use it

Resolve this record through the SkillsRegistry MCP server (no auth, read-only):

```
claude mcp add --transport http --scope user skillsregistry https://api.skillsregistry.net/mcp
```

```json
{
  "jsonrpc": "2.0",
  "id": 1,
  "method": "tools/call",
  "params": {
    "name": "get_skill",
    "arguments": {
      "slug": "tencent-cloud-object-storage"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/tencent-cloud-object-storage` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/tencent-cloud-object-storage/pull`

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SkillsRegistry indexes agent skills from public registries and GitHub. Skills we have analysed are scanned with Circle-IR and scored on six dimensions; each listing states its scan coverage. More: https://skillsregistry.net/llms.txt