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AWS MCP Servers vs MCP Time Server

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

 
AWS MCP Servers
MCP Servers
MCP Time Server
MCP Servers
TaglineOfficial AWS Labs collection of Model Context Protocol servers for connecting AI coding assistants and agents to AWS services and documentation.Official MCP reference server for current time and IANA timezone conversion.
CategoryMCP ServersMCP Servers
PricingFree· 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-licensed reference server maintained by the Model Context Protocol project).
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
Grounding current-time answers in a chat assistantTimezone conversion for distributed team schedulingMeeting-time suggestions across regionsLog-timestamp interpretation during incident triageTravel-planning assistantsCron and scheduled-job explanationDST-aware reminders in agent workflowsCorrecting model timestamps in RAG citations
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
  • Fixes a real, common LLM failure mode: guessing the current time or botching a timezone conversion
  • Zero-config for most users -- uvx mcp-server-time works instantly on any MCP client
  • Ships as an official reference server, so it stays in step with MCP protocol changes
  • Three install paths (uv, pip, Docker) cover local dev, servers, and sandboxed agents
  • Uses IANA timezone names and reports DST status, so results are unambiguous
  • Tiny surface area (two tools) makes it safe to grant blanket permission to
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
  • Only two tools -- no date arithmetic, no natural-language parsing, no recurring-event math
  • Relies on the host's tzdata; stale OS images can return incorrect DST results
  • No network time source -- accuracy is only as good as the machine's own clock
  • Documentation is a README; no hosted docs site, changelog, or version-support policy
  • Python-only implementation means an extra runtime if your stack is otherwise Node or Go
Websitegithub.comgithub.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 MCP Time Server if
  • ✅ Fixes a real, common LLM failure mode: guessing the current time or botching a timezone conversion
  • ✅ Zero-config for most users -- uvx mcp-server-time works instantly on any MCP client
  • ✅ Ships as an official reference server, so it stays in step with MCP protocol changes
  • ✅ Three install paths (uv, pip, Docker) cover local dev, servers, and sandboxed agents
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