Full Supabase access: database, auth, storage, and edge functions.
AWS
Inspect AWS resources, read CloudWatch logs, and audit IAM from an AI agent.
Quick answer
What it does
Wraps the AWS SDK for read operations across EC2, S3, Lambda, RDS, IAM, CloudWatch, and STS. Exposes resource enumeration, log fetch, metric queries, and identity inspection to AI models.
Best for
- Incident investigation
- IAM and security audits
- CloudWatch log search
- Cost-tagged resource enumeration
Not for
- Provisioning new infrastructure
- Unattended writes to production
Setup recipe
Pick your client, then follow the three steps.
- 1
Install
claude_desktop_config.jsonjson{ "mcpServers": { "aws": { "command": "uvx", "args": [ "awslabs.aws-documentation-mcp-server" ], "env": { "AWS_PROFILE": "${AWS_PROFILE}", "AWS_REGION": "${AWS_REGION}" } } } }Paste under mcpServers. Fully quit and reopen Claude after editing.
CLI or .mcp.jsonshell# export AWS_PROFILE=agent-readonly # export AWS_REGION=us-east-1 claude mcp add aws -- uvx awslabs.aws-documentation-mcp-serverRun from your repo. Commit .mcp.json to share with your team.
.cursor/mcp.jsonjson{ "mcpServers": { "aws": { "command": "uvx", "args": [ "awslabs.aws-documentation-mcp-server" ], "env": { "AWS_PROFILE": "${AWS_PROFILE}", "AWS_REGION": "${AWS_REGION}" } } } }Global path: ~/.cursor/mcp.json. Reload window after editing.
.vscode/mcp.jsonjsonc{ "servers": { "aws": { "command": "uvx", "args": [ "awslabs.aws-documentation-mcp-server" ], "env": { "AWS_PROFILE": "${AWS_PROFILE}", "AWS_REGION": "${AWS_REGION}" } } } }VS Code uses the "servers" key (not "mcpServers").
~/.codeium/windsurf/mcp_config.jsonjson{ "mcpServers": { "aws": { "command": "uvx", "args": [ "awslabs.aws-documentation-mcp-server" ], "env": { "AWS_PROFILE": "${AWS_PROFILE}", "AWS_REGION": "${AWS_REGION}" } } } }Open via Cascade → hammer icon → Configure.
cline_mcp_settings.jsonjson{ "mcpServers": { "aws": { "command": "uvx", "args": [ "awslabs.aws-documentation-mcp-server" ], "env": { "AWS_PROFILE": "${AWS_PROFILE}", "AWS_REGION": "${AWS_REGION}" } } } }Open via the Cline sidebar → MCP Servers → Edit.
~/.continue/config.jsonjson{ "experimental": { "modelContextProtocolServers": [ { "transport": { "type": "stdio", "command": "uvx", "args": [ "awslabs.aws-documentation-mcp-server" ], "env": { "AWS_PROFILE": "${AWS_PROFILE}", "AWS_REGION": "${AWS_REGION}" } } } ] } }Continue uses modelContextProtocolServers with a transport block.
~/.codex/config.tomlshell# ~/.codex/config.toml [mcp_servers.aws] command = "uvx" args = [ "awslabs.aws-documentation-mcp-server", ] env = { AWS_PROFILE = "${AWS_PROFILE}", AWS_REGION = "${AWS_REGION}" }Codex uses TOML. Each server is a [mcp_servers.<name>] subtable.
~/.config/zed/settings.jsonjsonc{ "context_servers": { "aws": { "command": { "path": "uvx", "args": [ "awslabs.aws-documentation-mcp-server" ] }, "env": { "AWS_PROFILE": "${AWS_PROFILE}", "AWS_REGION": "${AWS_REGION}" } } } }Zed calls them "context_servers". Settings live-reload on save.
ChatGPT → Apps directorynoneAWS doesn't ship a hosted HTTPS endpoint today. ChatGPT supports remote MCP servers only — to use this server in ChatGPT you'll need to deploy it to a public HTTPS URL first (e.g. via Cloudflare Workers or Vercel) or wait for an official remote build.
- 2
Set required secrets
Set
AWS_PROFILE,AWS_REGIONin your shell environment before launching your MCP client. - 3
Try a minimum working prompt
Minimum working prompt pending verification. Try any prompt from the MCP’s README once installed.
Tools & permissions
| Tool | Description | Args | Side effects |
|---|---|---|---|
list_ec2_instances | List EC2 instances in the configured region. | — | Read |
list_s3_buckets | List S3 buckets in the account. | — | Read |
get_cloudwatch_logs | Fetch log events from a CloudWatch log group. | log_group: string, start_time?: string | Read |
list_iam_roles | List IAM roles. | — | Read |
get_caller_identity | Return the IAM identity the MCP is acting as. | — | Read |
Security & scope
- Access scope
- Read-only
- Sandbox
- Authenticates with the standard AWS credential chain — env vars, profile, IMDS, or SSO. Read-only at the tool layer; pair with an IAM role scoped to ReadOnlyAccess (or tighter) for defence in depth.
- Gotchas
- Never wire the agent to your developer admin profile — create a dedicated read-only IAM role.
- CloudWatch Logs has per-request size limits; long log scans require paging.
- STS GetCallerIdentity is exposed so the agent can verify which account it is acting against — check this before any cross-account work.
Agent prompt pack
— copy into Claude, Cursor, or ChatGPT.Recommend the best MCP servers for [task: e.g. cloud & infrastructure work] in [client: Claude]. Constraints: - Prefer tools that are [official | open-source | read-only] — pick what matters for my use case. - Exclude MCPs that require [e.g. a paid plan, OAuth-only flows, remote-only transport]. - Return at most 3 picks, ranked. For each pick include: 1. One-sentence rationale. 2. The ready-to-paste install snippet for my client. 3. Any required secrets I need to create before installing. Cross-check the top-mcps.com listing: https://top-mcps.com/top-mcps-for-cloud-infrastructure
Compare AWS MCP vs [Cloudflare MCP] for the following job: [describe the job, e.g. "let an agent create GitHub issues on bug triage"]. Judge them on: - Setup time and complexity (what a new user hits first). - Auth model (none / API key / OAuth 2.1) and credential risk. - Transport (stdio / Streamable HTTP / SSE) and where the server runs. - Required secrets and the blast radius if they leak. - Operational risk in an unattended agent loop. - Which one is "good enough" for a weekend prototype vs. production. End with one sentence: which should I pick for my scenario, which is: [my scenario]. References: - https://top-mcps.com/mcp/aws - top-mcps.com listing for Cloudflare
Install the AWS MCP server for my [client: Claude] at the default config path for that client. Use the exact install snippet published at https://top-mcps.com/mcp/aws (fetch https://top-mcps.com/mcp/aws.json for the canonical server.json if you can read URLs). Before finishing: 1. Create the required secrets (AWS_PROFILE, AWS_REGION) and put them in the appropriate env block — do not hard-code them. 2. Restart or reload the client so it picks up the new server. 3. Verify the server is connected (green / running state) and at least one tool is listed. 4. If anything fails, read the client's MCP logs and report the exact error — do not silently retry. Confirm when done and list the tools the server now exposes.
Frequently asked questions
What changed
— 2 updates tracked.Refreshed install snippets and fact sheet; verified for 2026.
Initial directory listing.
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