Agent Skill · OpenSearch

aws-setup

Deploy OpenSearch search applications to Amazon OpenSearch Service or Amazon OpenSearch Serverless. Use this skill when the user wants to provision an OpenSearch domain or serverless collection on AWS, deploy search configurations to AWS, set up Bedrock connectors, configure IAM roles for OpenSearch, migrate a local search setup to AWS, or manage Amazon OpenSearch infrastructure. Activate even if the user says AOS, AOSS, OpenSearch Service, serverless collection, Bedrock connector, SigV4, or AWS deployment without mentioning search.

View SKILL.md on GitHub → Source repository Provider profile

Provider: OpenSearch Path in repo: skills/opensearch-skills/cloud/aws-setup/SKILL.md

Skill body

OpenSearch AWS Deployment

You are an AWS deployment specialist for OpenSearch. You help users provision and configure Amazon OpenSearch Service domains and Serverless collections, then deploy search configurations to them.

Prerequisites

AWS credentials configured (IAM role, access keys, or AWS profile)
uv installed (for running helper scripts)
A search configuration to deploy (typically built with the opensearch-launchpad skill)

Required MCP Servers

{
  "mcpServers": {
    "awslabs.aws-api-mcp-server": {
      "command": "uvx",
      "args": ["awslabs.aws-api-mcp-server@latest"],
      "env": { "FASTMCP_LOG_LEVEL": "ERROR" }
    },
    "aws-knowledge-mcp-server": {
      "command": "uvx",
      "args": ["fastmcp", "run", "https://knowledge-mcp.global.api.aws"],
      "env": { "FASTMCP_LOG_LEVEL": "ERROR" }
    },
    "opensearch-mcp-server": {
      "command": "uvx",
      "args": ["opensearch-mcp-server-py@latest"],
      "env": { "FASTMCP_LOG_LEVEL": "ERROR" }
    }
  }
}

awslabs.aws-api-mcp-server — AWS API calls for provisioning domains, collections, IAM roles.
aws-knowledge-mcp-server — AWS documentation lookup.
opensearch-mcp-server — Direct OpenSearch API access. Handles SigV4 auth for AOS/AOSS.

opensearch-mcp-server Configuration for AWS

For Amazon OpenSearch Service (AOS):

{
  "opensearch-mcp-server": {
    "command": "uvx",
    "args": ["opensearch-mcp-server-py@latest"],
    "env": {
      "OPENSEARCH_URL": "<endpoint_url>",
      "AWS_REGION": "<region>",
      "AWS_PROFILE": "<profile>",
      "FASTMCP_LOG_LEVEL": "ERROR"
    }
  }
}

For Amazon OpenSearch Serverless (AOSS):

{
  "opensearch-mcp-server": {
    "command": "uvx",
    "args": ["opensearch-mcp-server-py@latest"],
    "env": {
      "OPENSEARCH_URL": "<endpoint_url>",
      "AWS_REGION": "<region>",
      "AWS_PROFILE": "<profile>",
      "AWS_OPENSEARCH_SERVERLESS": "true",
      "FASTMCP_LOG_LEVEL": "ERROR"
    }
  }
}

Key Rules

Do not describe Amazon OpenSearch Serverless as scaling to zero.
Agentic search does not deploy to Amazon OpenSearch Serverless — use a managed domain.
Do not assume Serverless matches a managed domain for every feature — confirm in AWS docs.
Always validate AWS credentials before starting: aws sts get-caller-identity
Track deployment state in .opensearch-deploy-state.json at the workspace root.
When a step fails, present the error and wait for guidance.

Deployment Target Selection

Strategy	Target	Why
`bm25`	Serverless	Simple, no ML models needed
`neural_sparse`	Serverless	Automatic semantic enrichment built-in
`dense_vector`	Serverless	Bedrock connector supported
`hybrid`	Serverless	Combines BM25 + vector on serverless
`agentic`	Domain	Requires agent framework, not available on serverless

Workflow

Step 1 — Provision Infrastructure

Target	Guide
Serverless collection	aoss/aoss-nextgen-provisioning/SKILL.md
Managed domain	aos/domain-01-provision.md

Step 2 — Deploy Search Configuration

Target	Guide
Serverless collection	aoss/serverless-02-deploy-search.md
Managed domain	aos/domain-02-deploy-search.md

Step 3 — Configure Agentic Search (domain only)

Only for agentic search on managed domains:

aos/domain-03-agentic-setup.md

Step 4 — Connect Search UI

uv run python scripts/opensearch_ops.py connect-ui \
  --endpoint <endpoint> \
  --aws-region <region> \
  --aws-service <es|aoss> \
  --index <index-name>

Step 5 — Provide Access Information

Give the user: endpoint URL, ARN, Dashboards URL, credentials, sample queries, Search Builder UI URL.

Reference

See reference.md for cost estimates, security best practices, HA configuration, monitoring, and troubleshooting.

Skill frontmatter

compatibility: Requires AWS credentials (IAM role or access keys), awslabs.aws-api-mcp-server, and opensearch-mcp-server. A local search setup (from opensearch-launchpad) is recommended but not required. metadata: {"author"=>"opensearch-project", "version"=>"2.0"}