AWS MCP Servers vs Puppeteer MCP Server

A side-by-side look at pricing, capabilities, pros, cons, and our editorial scores.

	AWS MCP Servers MCP Servers	Puppeteer MCP Server MCP Servers
Tagline	Official AWS Labs collection of Model Context Protocol servers for connecting AI coding assistants and agents to AWS services and documentation.	Reference MCP server that lets LLMs drive a real Chromium browser via Puppeteer.
Category	MCP Servers	MCP Servers
Pricing	Free· Free and open source (Apache 2.0). AWS service usage billed at standard AWS rates. Optional AWS-hosted 'remote managed' servers included at no additional charge beyond consumed AWS services.	Free· Free and open source (MIT license). No hosted service; you run it locally under Node/Docker.
Model	—	—
Editorial score	—	—
Use cases	AWS infrastructure-as-code scaffolding with CDK or CloudFormationGrounded answers from live AWS documentationDynamoDB and RDS query and schema exploration from an IDE agentBedrock knowledge base retrieval for RAG chatbotsEKS and ECS cluster inspection and troubleshootingCloudWatch log search and incident triageAWS cost and pricing lookups for FinOps agentsLambda function development and deployment loopsTerraform plan review against AWS best practicesS3 Tables and Redshift analytical query workflows	Give Claude a browser to research JS-rendered pagesHave an agent fill and submit a web formTake element-scoped screenshots for bug reportsSmoke-test a local staging site from an LLMScrape specific fields the model identifies visuallyAutomate a signed-in web workflow via headful loginExtract data with in-page JS via puppeteer_evaluatePrototype a custom browser-MCP by forking the reference
Pros	First-party, actively maintained by AWS Labs — coverage of new services lands quickly and stays in sync with real AWS APIs and docs Very broad surface area: compute, storage, data, AI/ML, IaC, observability, cost and documentation servers in one repo Apache 2.0 licensed and open source; runs locally over stdio or as a hosted remote server IAM-scoped permissions and syntactic validation reduce the risk of an agent issuing destructive or malformed API calls One-click install buttons for Cursor, Cline, Windsurf, Kiro and Amazon Q Developer lower setup friction significantly Pre-built Agent SOPs encode AWS Well-Architected patterns so agents produce closer-to-idiomatic infrastructure Grounding servers (AWS docs, pricing, knowledge bases) meaningfully reduce hallucinated service names and outdated API shapes	Zero-config bridge between any MCP client and a real Chromium instance, including JS-heavy SPAs that curl or fetch-based tools cannot see. Complete open-source TypeScript reference implementation, easy to fork as a starting point for a hardened production browser-MCP. Ships both NPX (headful, interactive login friendly) and Docker (headless, sandboxed) install paths. Screenshots are exposed as MCP resources with stable names, so a model can refer back to earlier captures across a conversation. puppeteer_evaluate gives the model an escape hatch to run arbitrary in-page JS when the fixed click/fill/select tool set is not enough. Console log resource lets the agent read runtime errors without a separate devtools bridge.
Cons	AWS-only — no value if your stack is on GCP, Azure, or a non-hyperscaler Sprawling repo with dozens of servers; picking, configuring and updating the right subset takes real effort Powerful write-capable servers are dangerous without carefully scoped IAM roles — an over-permissive setup can let an agent create billable or destructive resources Requires MCP-aware client tooling; not usable from vanilla chat UIs that don't speak MCP Some servers are early / experimental and quality varies between the mature and newer entries SSE transport removal in May 2025 broke older client integrations that hadn't moved to streamable HTTP	Archived on 29 May 2025 (read-only) and no longer maintained by Anthropic; expect Puppeteer/Chromium drift over time. Runs a browser on your machine with access to local files and localhost/private IPs, which is a real prompt-injection and SSRF risk if the model visits hostile pages. No built-in proxy rotation, stealth patches, CAPTCHA handling, or Cloudflare-turnstile bypass, so it is not suitable for anti-bot-hardened targets. Selector-based tools rely on the model producing correct CSS selectors; brittle on frequently-changing DOMs. No session persistence, cookie import, or multi-tab management primitives out of the box. Community forks (Playwright MCP, browserless MCP, hyperbrowser, etc.) have moved past this reference in features and active support.
Website	github.com	github.com

Pick AWS MCP Servers if

✅ First-party, actively maintained by AWS Labs — coverage of new services lands quickly and stays in sync with real AWS APIs and docs
✅ Very broad surface area: compute, storage, data, AI/ML, IaC, observability, cost and documentation servers in one repo
✅ Apache 2.0 licensed and open source; runs locally over stdio or as a hosted remote server
✅ IAM-scoped permissions and syntactic validation reduce the risk of an agent issuing destructive or malformed API calls

Pick Puppeteer MCP Server if

✅ Zero-config bridge between any MCP client and a real Chromium instance, including JS-heavy SPAs that curl or fetch-based tools cannot see.
✅ Complete open-source TypeScript reference implementation, easy to fork as a starting point for a hardened production browser-MCP.
✅ Ships both NPX (headful, interactive login friendly) and Docker (headless, sandboxed) install paths.
✅ Screenshots are exposed as MCP resources with stable names, so a model can refer back to earlier captures across a conversation.

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