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Analyze documents, images, videos, and audio.
AWS Bedrock Data Automation is an MCP server entry in ChatHome Skills, sourced from Docker MCP Registry and scored 96/100. As a Model Context Protocol server, it exposes tools that MCP-compatible LLM clients such as Claude, Cursor, and Copilot can call directly, extending an agent's reach beyond its built-in capabilities. ChatHome Skills discovered this entry through its daily ingest of official registries and GitHub discovery queries, and re-verifies repository facts, freshness signals, and install metadata on every run. The quality score weighs official-registry presence, a working install command, license clarity, GitHub star trajectory, and repository freshness — the full formula is on the Sources page. The install command above is ready to copy. Review the last-pushed date and repository status before adding AWS Bedrock Data Automation to a production agent workflow; the snapshot facts below are point-in-time values from the most recent ingest.
docker run -i --rm mcp/aws-bedrock-data-automation-mcp-serverReview the upstream source before running this command.
{
"raw": "name: aws-bedrock-data-automation\nimage: mcp/aws-bedrock-data-automation-mcp-server\ntype: server\nmeta:\n category: ai-ml\n tags:\n - aws\nabout:\n title: AWS Bedrock Data Automation\n description: Analyze documents, images, videos, and audio.\n icon: https://avatars.githubusercontent.com/u/3299148?v=4\nsource:\n project: https://github.com/awslabs/mcp\n commit: 780e3f1d57c77f9c0b88279711c5b95e23cfb91d\n directory: src/aws-bedrock-data-automation-mcp-server\nconfig:\n description: Configure AWS credentials and S3 bucket for data automation\n env:\n - name: AWS_BUCKET_NAME\n example: your-s3-bucket-name\n value: \"{{aws-bedrock-data-automation.aws_bucket_name}}\"\n - name: AWS_REGION\n example: us-east-1\n value: \"{{aws-bedrock-data-automation.aws_region}}\"\n - name: AWS_PROFILE\n example: default\n value: \"{{aws-bedrock-data-automation.aws_profile}}\"\n parameters:\n type: object\n properties:\n aws_bucket_name:\n type: string\n aws_region:\n type: string\n default: us-east-1\n aws_profile:\n type: string\n default: default\n required:\n - aws_bucket_name\n",
"path": "servers/aws-bedrock-data-automation/server.yaml"
}