# AWS S3 Connector MCP Server

> AWS S3 Connector MCP Server — sourav-spd-aws-s3-connector-16-mcp. Use this tool when you need to manage and interact with AWS S3 tables using natural language, enabling comprehensive control over table creation, data import, and maintenance operations. It solves problems related to data storage, retrieval, and management in AWS S3, providing a user-friendly interface for CRUD operations, metadata management, and data import. This tool is ideal for use cases where simplified and intuitive AWS S3 table management is required, accepting natural language inputs and producing corresponding table and data outputs.

Canonical page: https://skillsregistry.net/skills/sourav-spd-aws-s3-connector-16-mcp  
JSON: https://api.skillsregistry.net/v1/skills/sourav-spd-aws-s3-connector-16-mcp

## Description

Enables comprehensive management of AWS S3 Tables including table bucket, namespace, table CRUD, metadata, maintenance, and data import operations through natural language.

## Trust

- **Trust score (0–1):** 0.69
- **Verification tier:** scanned
- **Last scanned:** 2026-08-29

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** cloud-infra
- **Updated:** 2026-08-29

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/znksavazb3)
- **Repository:** <https://github.com/sourav-spd/aws-s3-connector-16-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": "sourav-spd-aws-s3-connector-16-mcp"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/sourav-spd-aws-s3-connector-16-mcp` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/sourav-spd-aws-s3-connector-16-mcp/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